CLAUDE.md

@@ -7,6 +7,26 @@
 > | Coding-Regeln      | `.claude/rules/CODING_RULES.md` |
 > | Lessons Learned    | `.claude/rules/LESSONS_LEARNED.md` |
 
+## Claude Code Verantwortlichkeiten
+
+**Issue-Management (Gitea):**
+- ✅ Neue Issues/Feature Requests in Gitea anlegen
+- ✅ Issue-Dokumentation in `docs/issues/` pflegen
+- ✅ Issues mit Labels, Priority, Aufwandsschätzung versehen
+- ✅ Bestehende Issues aktualisieren (Status, Beschreibung)
+- ✅ Issues bei Fertigstellung schließen
+- 🎯 Gitea: http://192.168.2.144:3000/Lars/mitai-jinkendo/issues
+
+**Dokumentation:**
+- Code-Änderungen in CLAUDE.md dokumentieren
+- Versions-Updates bei jedem Feature/Fix
+- Library-Dateien bei größeren Änderungen aktualisieren
+
+**Entwicklung:**
+- Alle Änderungen auf `develop` Branch
+- Production Deploy nur nach expliziter Freigabe
+- Migration 001-999 Pattern einhalten
+
 ## Projekt-Übersicht
 **Mitai Jinkendo** (身体 Jinkendo) – selbst-gehostete PWA für Körper-Tracking mit KI-Auswertung.
 Teil der **Jinkendo**-App-Familie (人拳道). Domains: jinkendo.de / .com / .life
@@ -56,7 +76,7 @@ frontend/src/
     └── technical/   # MEMBERSHIP_SYSTEM.md
 ```
 
-## Aktuelle Version: v9c (komplett) 🚀 Production seit 21.03.2026
+## Aktuelle Version: v9e (Issue #28, #47 Complete) 🚀 Ready for Production 26.03.2026
 
 ### Implementiert ✅
 - Login (E-Mail + bcrypt), Auth-Middleware alle Endpoints, Rate Limiting
@@ -188,6 +208,169 @@ frontend/src/
 
 📚 Details: `.claude/docs/technical/MEMBERSHIP_SYSTEM.md` · `.claude/docs/architecture/FEATURE_ENFORCEMENT.md`
 
+### Issue #28: Unified Prompt System ✅ (Completed 26.03.2026)
+
+**AI-Prompts Flexibilisierung - Komplett überarbeitet:**
+
+- ✅ **Unified Prompt System (4 Phasen):**
+  - **Phase 1:** DB-Migration - Schema erweitert
+    - `ai_prompts` um `type`, `stages`, `output_format`, `output_schema` erweitert
+    - Alle Prompts zu 1-stage Pipelines migriert
+    - Pipeline-Configs in `ai_prompts` konsolidiert
+  - **Phase 2:** Backend Executor
+    - `prompt_executor.py` - universeller Executor für base + pipeline
+    - Dynamische Placeholder-Auflösung (`{{stage_N_key}}`)
+    - JSON-Output-Validierung
+    - Multi-stage parallele Ausführung
+    - Reference (Basis-Prompts) + Inline (Templates) Support
+  - **Phase 3:** Frontend UI Consolidation
+    - `UnifiedPromptModal` - ein Editor für beide Typen
+    - `AdminPromptsPage` - Tab-Switcher entfernt, Type-Filter hinzugefügt
+    - Stage-Editor mit Add/Remove/Reorder
+    - Mobile-ready Design
+  - **Phase 4:** Cleanup & Docs
+    - Deprecated Komponenten entfernt (PipelineConfigModal, PromptEditModal)
+    - Old endpoints behalten für Backward-Compatibility
+
+**Features:**
+- Unbegrenzte dynamische Stages (keine 3-Stage Limitierung mehr)
+- Mehrere Prompts pro Stage (parallel)
+- Zwei Prompt-Typen: `base` (wiederverwendbar) + `pipeline` (Workflows)
+- Inline-Templates oder Referenzen zu Basis-Prompts
+- JSON-Output erzwingbar pro Prompt
+- Cross-Module Korrelationen möglich
+
+**Debug & Development Tools (26.03.2026):**
+- ✅ **Comprehensive Debug System:**
+  - Test-Button in Prompt-Editor mit Debug-Modus
+  - Shows resolved/unresolved placeholders
+  - Displays final prompts sent to AI
+  - Per-stage debug info for pipelines
+  - Export debug data as JSON
+- ✅ **Placeholder Export (per Test):**
+  - Button in Debug-Viewer
+  - Exports all placeholders with values per execution
+- ✅ **Global Placeholder Export:**
+  - Settings → "📊 Platzhalter exportieren"
+  - All 32 placeholders with current values
+  - Organized by category
+  - Includes metadata (description, example)
+- ✅ **Batch Import/Export:**
+  - Admin → "📦 Alle exportieren" (all prompts as JSON)
+  - Admin → "📥 Importieren" (upload JSON, create/update)
+  - Dev→Prod sync in 2 clicks
+
+**Placeholder System Enhancements:**
+- ✅ **6 New Placeholder Functions:**
+  - `{{sleep_avg_duration}}` - Average sleep duration (7d)
+  - `{{sleep_avg_quality}}` - Deep+REM percentage (7d)
+  - `{{rest_days_count}}` - Rest days count (30d)
+  - `{{vitals_avg_hr}}` - Average resting heart rate (7d)
+  - `{{vitals_avg_hrv}}` - Average HRV (7d)
+  - `{{vitals_vo2_max}}` - Latest VO2 Max value
+- ✅ **7 Reconstructed Placeholders:**
+  - `{{caliper_summary}}`, `{{circ_summary}}`
+  - `{{goal_weight}}`, `{{goal_bf_pct}}`
+  - `{{nutrition_days}}`
+  - `{{protein_ziel_low}}`, `{{protein_ziel_high}}`
+  - `{{activity_detail}}`
+- **Total: 32 active placeholders** across 6 categories
+
+**Bug Fixes (26.03.2026):**
+- ✅ **PIPELINE_MASTER Response:** Analysis page now uses unified executor
+  - Fixed: Old `/insights/run` endpoint sent raw template to AI
+  - Now: `/prompts/execute` with proper stage processing
+- ✅ **Age Calculation:** Handle PostgreSQL DATE objects
+  - Fixed: `calculate_age()` expected string, got date object
+  - Now: Handles both strings and date objects
+- ✅ **Sleep Quality 0%:** Lowercase stage names
+  - Fixed: Checked ['Deep', 'REM'], but stored as ['deep', 'rem']
+  - Now: Correct case-sensitive matching
+- ✅ **SQL Column Name Errors:**
+  - Fixed: `bf_jpl` → `body_fat_pct`
+  - Fixed: `brust` → `c_chest`, etc.
+  - Fixed: `protein` → `protein_g`
+- ✅ **Decimal × Float Type Error:**
+  - Fixed: `protein_ziel_low/high` calculations
+  - Now: Convert Decimal to float before multiplication
+
+**Migrations:**
+- Migration 020: Unified Prompt System Schema
+
+**Backend Endpoints:**
+- `POST /api/prompts/execute` - Universeller Executor (with save=true param)
+- `POST /api/prompts/unified` - Create unified prompt
+- `PUT /api/prompts/unified/{id}` - Update unified prompt
+- `GET /api/prompts/export-all` - Export all prompts as JSON
+- `POST /api/prompts/import` - Import prompts from JSON (with overwrite option)
+- `GET /api/prompts/placeholders/export-values` - Export all placeholder values
+
+**UI:**
+- Admin → KI-Prompts: Type-Filter (Alle/Basis/Pipeline)
+- Neuer Prompt-Editor mit dynamischem Stage-Builder
+- Inline editing von Stages + Prompts
+- Test-Button mit Debug-Viewer (always visible)
+- Export/Import Buttons (📦 Alle exportieren, 📥 Importieren)
+- Settings → 📊 Platzhalter exportieren
+
+📚 Details: `.claude/docs/functional/AI_PROMPTS.md`
+
+**Related Gitea Issues:**
+- #28: Unified Prompt System - ✅ CLOSED (26.03.2026)
+- #43: Enhanced Debug UI - 🔲 OPEN (Future enhancement)
+- #44: BUG - Analysen löschen - 🔲 OPEN (High priority)
+- #45: KI Prompt-Optimierer - 🔲 OPEN (Future feature)
+- #46: KI Prompt-Ersteller - 🔲 OPEN (Future feature)
+- #47: Value Table - ✅ CLOSED (26.03.2026)
+
+### Issue #47: Comprehensive Value Table ✅ (Completed 26.03.2026)
+
+**AI-Analyse Transparenz - Vollständige Platzhalter-Anzeige:**
+
+- ✅ **Metadata Collection System:**
+  - Alle genutzten Platzhalter mit Werten während Ausführung gesammelt
+  - Vollständige (nicht gekürzte) Werte aus placeholder_resolver
+  - Kategorisierung nach Modul (Profil, Körper, Ernährung, Training, etc.)
+  - Speicherung in ai_insights.metadata (JSONB)
+
+- ✅ **Expert Mode:**
+  - Toggle-Button "🔬 Experten-Modus" in Analysis-Seite
+  - Normal-Modus: Zeigt nur relevante, gefüllte Werte
+  - Experten-Modus: Zeigt alle Werte inkl. Rohdaten und Stage-Outputs
+
+- ✅ **Stage Output Extraction:**
+  - Basis-Prompts mit JSON-Output: Einzelwerte extrahiert
+  - Jedes Feld aus Stage-JSON als eigene Zeile
+  - Visuelle Kennzeichnung: ↳ für extrahierte Werte
+  - Source-Tracking: Welche Stage, welcher Output
+
+- ✅ **Category Grouping:**
+  - Gruppierung nach Kategorien (PROFIL, KÖRPER, ERNÄHRUNG, etc.)
+  - Stage-Outputs als eigene Kategorien ("Stage 1 - Body")
+  - Rohdaten-Sektion (nur im Experten-Modus)
+  - Sortierung: Reguläre → Stage-Outputs → Rohdaten
+
+- ✅ **Value Table Features:**
+  - Drei Spalten: Platzhalter | Wert | Beschreibung
+  - Keine Kürzung langer Werte
+  - Kategorie-Header mit grauem Hintergrund
+  - Empty/nicht verfügbar Werte ausgeblendet (Normal-Modus)
+
+**Migrations:**
+- Migration 021: ai_insights.metadata JSONB column
+
+**Backend Endpoints:**
+- `POST /api/prompts/execute` - Erweitert um Metadata-Collection
+- `GET /api/insights/placeholders/catalog` - Placeholder-Kategorien
+
+**UI:**
+- Analysis Page: Value Table mit Category-Grouping
+- Expert-Mode Toggle (🔬 Symbol)
+- Collapsible JSON für Rohdaten
+- Delete-Button für Insights (🗑️)
+
+📚 Details: `.claude/docs/functional/AI_PROMPTS.md`
+
 ## Feature-Roadmap
 
 > 📋 **Detaillierte Roadmap:** `.claude/docs/ROADMAP.md` (Phasen 0-3, Timeline, Abhängigkeiten)

backend/migrations/017_ai_prompts_flexibilisierung.sql

@@ -0,0 +1,22 @@
+-- Migration 017: AI Prompts Flexibilisierung (Issue #28)
+-- Add category column to ai_prompts for better organization and filtering
+
+-- Add category column
+ALTER TABLE ai_prompts ADD COLUMN IF NOT EXISTS category VARCHAR(20) DEFAULT 'ganzheitlich';
+
+-- Create index for category filtering
+CREATE INDEX IF NOT EXISTS idx_ai_prompts_category ON ai_prompts(category);
+
+-- Add comment
+COMMENT ON COLUMN ai_prompts.category IS 'Prompt category: körper, ernährung, training, schlaf, vitalwerte, ziele, ganzheitlich';
+
+-- Update existing prompts with appropriate categories
+-- Based on slug patterns and content
+UPDATE ai_prompts SET category = 'körper' WHERE slug IN ('koerperkomposition', 'gewichtstrend', 'umfaenge', 'caliper');
+UPDATE ai_prompts SET category = 'ernährung' WHERE slug IN ('ernaehrung', 'kalorienbilanz', 'protein', 'makros');
+UPDATE ai_prompts SET category = 'training' WHERE slug IN ('aktivitaet', 'trainingsanalyse', 'erholung', 'leistung');
+UPDATE ai_prompts SET category = 'schlaf' WHERE slug LIKE '%schlaf%';
+UPDATE ai_prompts SET category = 'vitalwerte' WHERE slug IN ('vitalwerte', 'herzfrequenz', 'ruhepuls', 'hrv');
+UPDATE ai_prompts SET category = 'ziele' WHERE slug LIKE '%ziel%' OR slug LIKE '%goal%';
+
+-- Pipeline prompts remain 'ganzheitlich' (default)

backend/migrations/018_prompt_display_name.sql

@@ -0,0 +1,20 @@
+-- Migration 018: Add display_name to ai_prompts for user-facing labels
+
+ALTER TABLE ai_prompts ADD COLUMN IF NOT EXISTS display_name VARCHAR(100);
+
+-- Migrate existing prompts from hardcoded SLUG_LABELS
+UPDATE ai_prompts SET display_name = '🔍 Gesamtanalyse' WHERE slug = 'gesamt' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🫧 Körperkomposition' WHERE slug = 'koerper' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🍽️ Ernährung' WHERE slug = 'ernaehrung' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🏋️ Aktivität' WHERE slug = 'aktivitaet' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '❤️ Gesundheitsindikatoren' WHERE slug = 'gesundheit' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🎯 Zielfortschritt' WHERE slug = 'ziele' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🔬 Mehrstufige Gesamtanalyse' WHERE slug = 'pipeline' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🔬 Pipeline: Körper-Analyse (JSON)' WHERE slug = 'pipeline_body' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🔬 Pipeline: Ernährungs-Analyse (JSON)' WHERE slug = 'pipeline_nutrition' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🔬 Pipeline: Aktivitäts-Analyse (JSON)' WHERE slug = 'pipeline_activity' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🔬 Pipeline: Synthese' WHERE slug = 'pipeline_synthesis' AND display_name IS NULL;
+UPDATE ai_prompts SET display_name = '🔬 Pipeline: Zielabgleich' WHERE slug = 'pipeline_goals' AND display_name IS NULL;
+
+-- Fallback: use name as display_name if still NULL
+UPDATE ai_prompts SET display_name = name WHERE display_name IS NULL;

backend/migrations/019_pipeline_system.sql

@@ -0,0 +1,157 @@
+-- Migration 019: Pipeline-System - Konfigurierbare mehrstufige Analysen
+-- Ermöglicht Admin-Verwaltung von Pipeline-Konfigurationen (Issue #28)
+-- Created: 2026-03-25
+
+-- ========================================
+-- 1. Erweitere ai_prompts für Reset-Feature
+-- ========================================
+ALTER TABLE ai_prompts
+ADD COLUMN IF NOT EXISTS is_system_default BOOLEAN DEFAULT FALSE,
+ADD COLUMN IF NOT EXISTS default_template TEXT;
+
+COMMENT ON COLUMN ai_prompts.is_system_default IS 'true = System-Prompt mit Reset-Funktion';
+COMMENT ON COLUMN ai_prompts.default_template IS 'Original-Template für Reset-to-Default';
+
+-- Markiere bestehende Pipeline-Prompts als System-Defaults
+UPDATE ai_prompts
+SET
+  is_system_default = true,
+  default_template = template
+WHERE slug LIKE 'pipeline_%';
+
+-- ========================================
+-- 2. Create pipeline_configs table
+-- ========================================
+CREATE TABLE IF NOT EXISTS pipeline_configs (
+  id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
+  name VARCHAR(255) NOT NULL UNIQUE,
+  description TEXT,
+  is_default BOOLEAN DEFAULT FALSE,
+  active BOOLEAN DEFAULT TRUE,
+
+  -- Module configuration: which data sources to include
+  modules JSONB NOT NULL DEFAULT '{}'::jsonb,
+  -- Example: {"körper": true, "ernährung": true, "training": true, "schlaf": false}
+
+  -- Timeframes per module (days)
+  timeframes JSONB NOT NULL DEFAULT '{}'::jsonb,
+  -- Example: {"körper": 30, "ernährung": 30, "training": 14}
+
+  -- Stage 1 prompts (parallel execution)
+  stage1_prompts TEXT[] NOT NULL DEFAULT ARRAY[]::TEXT[],
+  -- Example: ARRAY['pipeline_body', 'pipeline_nutrition', 'pipeline_activity']
+
+  -- Stage 2 prompt (synthesis)
+  stage2_prompt VARCHAR(100) NOT NULL,
+  -- Example: 'pipeline_synthesis'
+
+  -- Stage 3 prompt (optional, e.g., goals)
+  stage3_prompt VARCHAR(100),
+  -- Example: 'pipeline_goals'
+
+  created TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
+  updated TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
+);
+
+-- ========================================
+-- 3. Create indexes
+-- ========================================
+CREATE INDEX IF NOT EXISTS idx_pipeline_configs_default ON pipeline_configs(is_default) WHERE is_default = true;
+CREATE INDEX IF NOT EXISTS idx_pipeline_configs_active ON pipeline_configs(active);
+
+-- ========================================
+-- 4. Seed: Standard-Pipeline "Alltags-Check"
+-- ========================================
+INSERT INTO pipeline_configs (
+  name,
+  description,
+  is_default,
+  modules,
+  timeframes,
+  stage1_prompts,
+  stage2_prompt,
+  stage3_prompt
+) VALUES (
+  'Alltags-Check',
+  'Standard-Analyse: Körper, Ernährung, Training über die letzten 2-4 Wochen',
+  true,
+  '{"körper": true, "ernährung": true, "training": true, "schlaf": false, "vitalwerte": false, "mentales": false, "ziele": false}'::jsonb,
+  '{"körper": 30, "ernährung": 30, "training": 14}'::jsonb,
+  ARRAY['pipeline_body', 'pipeline_nutrition', 'pipeline_activity'],
+  'pipeline_synthesis',
+  'pipeline_goals'
+) ON CONFLICT (name) DO NOTHING;
+
+-- ========================================
+-- 5. Seed: Erweiterte Pipelines (optional)
+-- ========================================
+
+-- Schlaf-Fokus Pipeline (wenn Schlaf-Prompts existieren)
+INSERT INTO pipeline_configs (
+  name,
+  description,
+  is_default,
+  modules,
+  timeframes,
+  stage1_prompts,
+  stage2_prompt,
+  stage3_prompt
+) VALUES (
+  'Schlaf & Erholung',
+  'Analyse von Schlaf, Vitalwerten und Erholungsstatus',
+  false,
+  '{"schlaf": true, "vitalwerte": true, "training": true, "körper": false, "ernährung": false, "mentales": false, "ziele": false}'::jsonb,
+  '{"schlaf": 14, "vitalwerte": 7, "training": 14}'::jsonb,
+  ARRAY['pipeline_sleep', 'pipeline_vitals', 'pipeline_activity'],
+  'pipeline_synthesis',
+  NULL
+) ON CONFLICT (name) DO NOTHING;
+
+-- Wettkampf-Analyse (langfristiger Trend)
+INSERT INTO pipeline_configs (
+  name,
+  description,
+  is_default,
+  modules,
+  timeframes,
+  stage1_prompts,
+  stage2_prompt,
+  stage3_prompt
+) VALUES (
+  'Wettkampf-Analyse',
+  'Langfristige Analyse für Wettkampfvorbereitung (90 Tage)',
+  false,
+  '{"körper": true, "training": true, "vitalwerte": true, "ernährung": true, "schlaf": false, "mentales": false, "ziele": true}'::jsonb,
+  '{"körper": 90, "training": 90, "vitalwerte": 30, "ernährung": 60}'::jsonb,
+  ARRAY['pipeline_body', 'pipeline_activity', 'pipeline_vitals', 'pipeline_nutrition'],
+  'pipeline_synthesis',
+  'pipeline_goals'
+) ON CONFLICT (name) DO NOTHING;
+
+-- ========================================
+-- 6. Trigger für updated timestamp
+-- ========================================
+DROP TRIGGER IF EXISTS trigger_pipeline_configs_updated ON pipeline_configs;
+CREATE TRIGGER trigger_pipeline_configs_updated
+  BEFORE UPDATE ON pipeline_configs
+  FOR EACH ROW
+  EXECUTE FUNCTION update_updated_timestamp();
+
+-- ========================================
+-- 7. Constraints & Validation
+-- ========================================
+
+-- Only one default config allowed (enforced via partial unique index)
+CREATE UNIQUE INDEX IF NOT EXISTS idx_pipeline_configs_single_default
+ON pipeline_configs(is_default)
+WHERE is_default = true;
+
+-- ========================================
+-- 8. Comments (Documentation)
+-- ========================================
+COMMENT ON TABLE pipeline_configs IS 'v9f Issue #28: Konfigurierbare Pipeline-Analysen. Admins können mehrere Pipeline-Configs erstellen mit unterschiedlichen Modulen und Zeiträumen.';
+COMMENT ON COLUMN pipeline_configs.modules IS 'JSONB: Welche Module aktiv sind (boolean flags)';
+COMMENT ON COLUMN pipeline_configs.timeframes IS 'JSONB: Zeiträume pro Modul in Tagen';
+COMMENT ON COLUMN pipeline_configs.stage1_prompts IS 'Array von slug-Werten für parallele Stage-1-Prompts';
+COMMENT ON COLUMN pipeline_configs.stage2_prompt IS 'Slug des Synthese-Prompts (kombiniert Stage-1-Ergebnisse)';
+COMMENT ON COLUMN pipeline_configs.stage3_prompt IS 'Optionaler Slug für Stage-3-Prompt (z.B. Zielabgleich)';

backend/migrations/020_unified_prompt_system.sql

@@ -0,0 +1,128 @@
+-- Migration 020: Unified Prompt System (Issue #28)
+-- Consolidate ai_prompts and pipeline_configs into single system
+-- Type: 'base' (reusable building blocks) or 'pipeline' (workflows)
+
+-- Step 1: Add new columns to ai_prompts and make template nullable
+ALTER TABLE ai_prompts
+ADD COLUMN IF NOT EXISTS type VARCHAR(20) DEFAULT 'pipeline',
+ADD COLUMN IF NOT EXISTS stages JSONB,
+ADD COLUMN IF NOT EXISTS output_format VARCHAR(10) DEFAULT 'text',
+ADD COLUMN IF NOT EXISTS output_schema JSONB;
+
+-- Make template nullable (pipeline-type prompts use stages instead)
+ALTER TABLE ai_prompts
+ALTER COLUMN template DROP NOT NULL;
+
+-- Step 2: Migrate existing single-prompts to 1-stage pipeline format
+-- All existing prompts become single-stage pipelines with inline source
+UPDATE ai_prompts
+SET
+    type = 'pipeline',
+    stages = jsonb_build_array(
+        jsonb_build_object(
+            'stage', 1,
+            'prompts', jsonb_build_array(
+                jsonb_build_object(
+                    'source', 'inline',
+                    'template', template,
+                    'output_key', REPLACE(slug, 'pipeline_', ''),
+                    'output_format', 'text'
+                )
+            )
+        )
+    ),
+    output_format = 'text'
+WHERE stages IS NULL;
+
+-- Step 3: Migrate pipeline_configs into ai_prompts as multi-stage pipelines
+-- Each pipeline_config becomes a pipeline-type prompt with multiple stages
+INSERT INTO ai_prompts (
+    slug,
+    name,
+    description,
+    type,
+    stages,
+    output_format,
+    active,
+    is_system_default,
+    category
+)
+SELECT
+    'pipeline_config_' || LOWER(REPLACE(pc.name, ' ', '_')) || '_' || SUBSTRING(pc.id::TEXT FROM 1 FOR 8) as slug,
+    pc.name,
+    pc.description,
+    'pipeline' as type,
+    -- Build stages JSONB: combine stage1_prompts, stage2_prompt, stage3_prompt
+    (
+        -- Stage 1: Convert array to prompts
+        SELECT jsonb_agg(stage_obj ORDER BY stage_num)
+        FROM (
+            SELECT 1 as stage_num,
+                   jsonb_build_object(
+                       'stage', 1,
+                       'prompts', (
+                           SELECT jsonb_agg(
+                               jsonb_build_object(
+                                   'source', 'reference',
+                                   'slug', s1.slug_val,
+                                   'output_key', REPLACE(s1.slug_val, 'pipeline_', 'stage1_'),
+                                   'output_format', 'json'
+                               )
+                           )
+                           FROM UNNEST(pc.stage1_prompts) AS s1(slug_val)
+                       )
+                   ) as stage_obj
+            WHERE array_length(pc.stage1_prompts, 1) > 0
+
+            UNION ALL
+
+            SELECT 2 as stage_num,
+                   jsonb_build_object(
+                       'stage', 2,
+                       'prompts', jsonb_build_array(
+                           jsonb_build_object(
+                               'source', 'reference',
+                               'slug', pc.stage2_prompt,
+                               'output_key', 'synthesis',
+                               'output_format', 'text'
+                           )
+                       )
+                   ) as stage_obj
+            WHERE pc.stage2_prompt IS NOT NULL
+
+            UNION ALL
+
+            SELECT 3 as stage_num,
+                   jsonb_build_object(
+                       'stage', 3,
+                       'prompts', jsonb_build_array(
+                           jsonb_build_object(
+                               'source', 'reference',
+                               'slug', pc.stage3_prompt,
+                               'output_key', 'goals',
+                               'output_format', 'text'
+                           )
+                       )
+                   ) as stage_obj
+            WHERE pc.stage3_prompt IS NOT NULL
+        ) all_stages
+    ) as stages,
+    'text' as output_format,
+    pc.active,
+    pc.is_default as is_system_default,
+    'pipeline' as category
+FROM pipeline_configs pc;
+
+-- Step 4: Add indices for performance
+CREATE INDEX IF NOT EXISTS idx_ai_prompts_type ON ai_prompts(type);
+CREATE INDEX IF NOT EXISTS idx_ai_prompts_stages ON ai_prompts USING GIN (stages);
+
+-- Step 5: Add comment explaining stages structure
+COMMENT ON COLUMN ai_prompts.stages IS 'JSONB array of stages, each with prompts array. Structure: [{"stage":1,"prompts":[{"source":"reference|inline","slug":"...","template":"...","output_key":"key","output_format":"text|json"}]}]';
+
+-- Step 6: Backup pipeline_configs before eventual deletion
+CREATE TABLE IF NOT EXISTS pipeline_configs_backup_pre_020 AS
+SELECT * FROM pipeline_configs;
+
+-- Note: We keep pipeline_configs table for now during transition period
+-- It can be dropped in a later migration once all code is migrated

backend/migrations/021_ai_insights_metadata.sql

@@ -0,0 +1,7 @@
+-- Migration 021: Add metadata column to ai_insights for storing debug info
+-- Date: 2026-03-26
+-- Purpose: Store resolved placeholder values with descriptions for transparency
+
+ALTER TABLE ai_insights ADD COLUMN IF NOT EXISTS metadata JSONB DEFAULT NULL;
+
+COMMENT ON COLUMN ai_insights.metadata IS 'Debug info: resolved placeholders, descriptions, etc.';

backend/models.py

@@ -127,3 +127,116 @@ class AdminProfileUpdate(BaseModel):
     ai_enabled: Optional[int] = None
     ai_limit_day: Optional[int] = None
     export_enabled: Optional[int] = None
+
+
+# ── Prompt Models (Issue #28) ────────────────────────────────────────────────
+
+class PromptCreate(BaseModel):
+    name: str
+    slug: str
+    display_name: Optional[str] = None
+    description: Optional[str] = None
+    template: str
+    category: str = 'ganzheitlich'
+    active: bool = True
+    sort_order: int = 0
+
+
+class PromptUpdate(BaseModel):
+    name: Optional[str] = None
+    display_name: Optional[str] = None
+    description: Optional[str] = None
+    template: Optional[str] = None
+    category: Optional[str] = None
+    active: Optional[bool] = None
+    sort_order: Optional[int] = None
+
+
+class PromptGenerateRequest(BaseModel):
+    goal: str
+    data_categories: list[str]
+    example_output: Optional[str] = None
+
+
+# ── Unified Prompt System Models (Issue #28 Phase 2) ───────────────────────
+
+class StagePromptCreate(BaseModel):
+    """Single prompt within a stage"""
+    source: str  # 'inline' or 'reference'
+    slug: Optional[str] = None  # Required if source='reference'
+    template: Optional[str] = None  # Required if source='inline'
+    output_key: str  # Key for storing result (e.g., 'nutrition', 'stage1_body')
+    output_format: str = 'text'  # 'text' or 'json'
+    output_schema: Optional[dict] = None  # JSON schema if output_format='json'
+
+
+class StageCreate(BaseModel):
+    """Single stage with multiple prompts"""
+    stage: int  # Stage number (1, 2, 3, ...)
+    prompts: list[StagePromptCreate]
+
+
+class UnifiedPromptCreate(BaseModel):
+    """Create a new unified prompt (base or pipeline type)"""
+    name: str
+    slug: str
+    display_name: Optional[str] = None
+    description: Optional[str] = None
+    type: str  # 'base' or 'pipeline'
+    category: str = 'ganzheitlich'
+    active: bool = True
+    sort_order: int = 0
+
+    # For base prompts (single reusable template)
+    template: Optional[str] = None  # Required if type='base'
+    output_format: str = 'text'
+    output_schema: Optional[dict] = None
+
+    # For pipeline prompts (multi-stage workflow)
+    stages: Optional[list[StageCreate]] = None  # Required if type='pipeline'
+
+
+class UnifiedPromptUpdate(BaseModel):
+    """Update an existing unified prompt"""
+    name: Optional[str] = None
+    display_name: Optional[str] = None
+    description: Optional[str] = None
+    type: Optional[str] = None
+    category: Optional[str] = None
+    active: Optional[bool] = None
+    sort_order: Optional[int] = None
+    template: Optional[str] = None
+    output_format: Optional[str] = None
+    output_schema: Optional[dict] = None
+    stages: Optional[list[StageCreate]] = None
+
+
+# ── Pipeline Config Models (Issue #28) ─────────────────────────────────────
+# NOTE: These will be deprecated in favor of UnifiedPrompt models above
+
+class PipelineConfigCreate(BaseModel):
+    name: str
+    description: Optional[str] = None
+    is_default: bool = False
+    active: bool = True
+    modules: dict  # {"körper": true, "ernährung": true, ...}
+    timeframes: dict  # {"körper": 30, "ernährung": 30, ...}
+    stage1_prompts: list[str]  # Array of slugs
+    stage2_prompt: str  # slug
+    stage3_prompt: Optional[str] = None  # slug
+
+
+class PipelineConfigUpdate(BaseModel):
+    name: Optional[str] = None
+    description: Optional[str] = None
+    is_default: Optional[bool] = None
+    active: Optional[bool] = None
+    modules: Optional[dict] = None
+    timeframes: Optional[dict] = None
+    stage1_prompts: Optional[list[str]] = None
+    stage2_prompt: Optional[str] = None
+    stage3_prompt: Optional[str] = None
+
+
+class PipelineExecuteRequest(BaseModel):
+    config_id: Optional[str] = None  # None = use default config

backend/placeholder_resolver.py

@@ -0,0 +1,715 @@
+"""
+Placeholder Resolver for AI Prompts
+
+Provides a registry of placeholder functions that resolve to actual user data.
+Used for prompt templates and preview functionality.
+"""
+import re
+from datetime import datetime, timedelta
+from typing import Dict, List, Optional, Callable
+from db import get_db, get_cursor, r2d
+
+
+# ── Helper Functions ──────────────────────────────────────────────────────────
+
+def get_profile_data(profile_id: str) -> Dict:
+    """Load profile data for a user."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute("SELECT * FROM profiles WHERE id=%s", (profile_id,))
+        return r2d(cur.fetchone()) if cur.rowcount > 0 else {}
+
+
+def get_latest_weight(profile_id: str) -> Optional[str]:
+    """Get latest weight entry."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute(
+            "SELECT weight FROM weight_log WHERE profile_id=%s ORDER BY date DESC LIMIT 1",
+            (profile_id,)
+        )
+        row = cur.fetchone()
+        return f"{row['weight']:.1f} kg" if row else "nicht verfügbar"
+
+
+def get_weight_trend(profile_id: str, days: int = 28) -> str:
+    """Calculate weight trend description."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT weight, date FROM weight_log
+               WHERE profile_id=%s AND date >= %s
+               ORDER BY date""",
+            (profile_id, cutoff)
+        )
+        rows = [r2d(r) for r in cur.fetchall()]
+
+        if len(rows) < 2:
+            return "nicht genug Daten"
+
+        first = rows[0]['weight']
+        last = rows[-1]['weight']
+        delta = last - first
+
+        if abs(delta) < 0.3:
+            return "stabil"
+        elif delta > 0:
+            return f"steigend (+{delta:.1f} kg in {days} Tagen)"
+        else:
+            return f"sinkend ({delta:.1f} kg in {days} Tagen)"
+
+
+def get_latest_bf(profile_id: str) -> Optional[str]:
+    """Get latest body fat percentage from caliper."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute(
+            """SELECT body_fat_pct FROM caliper_log
+               WHERE profile_id=%s AND body_fat_pct IS NOT NULL
+               ORDER BY date DESC LIMIT 1""",
+            (profile_id,)
+        )
+        row = cur.fetchone()
+        return f"{row['body_fat_pct']:.1f}%" if row else "nicht verfügbar"
+
+
+def get_nutrition_avg(profile_id: str, field: str, days: int = 30) -> str:
+    """Calculate average nutrition value."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+
+        # Map field names to actual column names
+        field_map = {
+            'protein': 'protein_g',
+            'fat': 'fat_g',
+            'carb': 'carbs_g',
+            'kcal': 'kcal'
+        }
+        db_field = field_map.get(field, field)
+
+        cur.execute(
+            f"""SELECT AVG({db_field}) as avg FROM nutrition_log
+                WHERE profile_id=%s AND date >= %s AND {db_field} IS NOT NULL""",
+            (profile_id, cutoff)
+        )
+        row = cur.fetchone()
+        if row and row['avg']:
+            if field == 'kcal':
+                return f"{int(row['avg'])} kcal/Tag (Ø {days} Tage)"
+            else:
+                return f"{int(row['avg'])}g/Tag (Ø {days} Tage)"
+        return "nicht verfügbar"
+
+
+def get_caliper_summary(profile_id: str) -> str:
+    """Get latest caliper measurements summary."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute(
+            """SELECT body_fat_pct, sf_method, date FROM caliper_log
+               WHERE profile_id=%s AND body_fat_pct IS NOT NULL
+               ORDER BY date DESC LIMIT 1""",
+            (profile_id,)
+        )
+        row = r2d(cur.fetchone()) if cur.rowcount > 0 else None
+
+        if not row:
+            return "keine Caliper-Messungen"
+
+        method = row.get('sf_method', 'unbekannt')
+        return f"{row['body_fat_pct']:.1f}% ({method} am {row['date']})"
+
+
+def get_circ_summary(profile_id: str) -> str:
+    """Get latest circumference measurements summary with age annotations.
+
+    For each measurement point, fetches the most recent value (even if from different dates).
+    Annotates each value with measurement age for AI context.
+    """
+    with get_db() as conn:
+        cur = get_cursor(conn)
+
+        # Define all circumference points with their labels
+        fields = [
+            ('c_neck', 'Nacken'),
+            ('c_chest', 'Brust'),
+            ('c_waist', 'Taille'),
+            ('c_belly', 'Bauch'),
+            ('c_hip', 'Hüfte'),
+            ('c_thigh', 'Oberschenkel'),
+            ('c_calf', 'Wade'),
+            ('c_arm', 'Arm')
+        ]
+
+        parts = []
+        today = datetime.now().date()
+
+        # Get latest value for each field individually
+        for field_name, label in fields:
+            cur.execute(
+                f"""SELECT {field_name}, date,
+                           CURRENT_DATE - date AS age_days
+                    FROM circumference_log
+                    WHERE profile_id=%s AND {field_name} IS NOT NULL
+                    ORDER BY date DESC LIMIT 1""",
+                (profile_id,)
+            )
+            row = r2d(cur.fetchone()) if cur.rowcount > 0 else None
+
+            if row:
+                value = row[field_name]
+                age_days = row['age_days']
+
+                # Format age annotation
+                if age_days == 0:
+                    age_str = "heute"
+                elif age_days == 1:
+                    age_str = "gestern"
+                elif age_days <= 7:
+                    age_str = f"vor {age_days} Tagen"
+                elif age_days <= 30:
+                    weeks = age_days // 7
+                    age_str = f"vor {weeks} Woche{'n' if weeks > 1 else ''}"
+                else:
+                    months = age_days // 30
+                    age_str = f"vor {months} Monat{'en' if months > 1 else ''}"
+
+                parts.append(f"{label} {value:.1f}cm ({age_str})")
+
+        return ', '.join(parts) if parts else "keine Umfangsmessungen"
+
+
+def get_goal_weight(profile_id: str) -> str:
+    """Get goal weight from profile."""
+    profile = get_profile_data(profile_id)
+    goal = profile.get('goal_weight')
+    return f"{goal:.1f}" if goal else "nicht gesetzt"
+
+
+def get_goal_bf_pct(profile_id: str) -> str:
+    """Get goal body fat percentage from profile."""
+    profile = get_profile_data(profile_id)
+    goal = profile.get('goal_bf_pct')
+    return f"{goal:.1f}" if goal else "nicht gesetzt"
+
+
+def get_nutrition_days(profile_id: str, days: int = 30) -> str:
+    """Get number of days with nutrition data."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT COUNT(DISTINCT date) as days FROM nutrition_log
+               WHERE profile_id=%s AND date >= %s""",
+            (profile_id, cutoff)
+        )
+        row = cur.fetchone()
+        return str(row['days']) if row else "0"
+
+
+def get_protein_ziel_low(profile_id: str) -> str:
+    """Calculate lower protein target based on current weight (1.6g/kg)."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute(
+            """SELECT weight FROM weight_log
+               WHERE profile_id=%s ORDER BY date DESC LIMIT 1""",
+            (profile_id,)
+        )
+        row = cur.fetchone()
+        if row:
+            return f"{int(float(row['weight']) * 1.6)}"
+        return "nicht verfügbar"
+
+
+def get_protein_ziel_high(profile_id: str) -> str:
+    """Calculate upper protein target based on current weight (2.2g/kg)."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute(
+            """SELECT weight FROM weight_log
+               WHERE profile_id=%s ORDER BY date DESC LIMIT 1""",
+            (profile_id,)
+        )
+        row = cur.fetchone()
+        if row:
+            return f"{int(float(row['weight']) * 2.2)}"
+        return "nicht verfügbar"
+
+
+def get_activity_summary(profile_id: str, days: int = 14) -> str:
+    """Get activity summary for recent period."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT COUNT(*) as count,
+                      SUM(duration_min) as total_min,
+                      SUM(kcal_active) as total_kcal
+               FROM activity_log
+               WHERE profile_id=%s AND date >= %s""",
+            (profile_id, cutoff)
+        )
+        row = r2d(cur.fetchone())
+
+        if row['count'] == 0:
+            return f"Keine Aktivitäten in den letzten {days} Tagen"
+
+        avg_min = int(row['total_min'] / row['count']) if row['total_min'] else 0
+        return f"{row['count']} Einheiten in {days} Tagen (Ø {avg_min} min/Einheit, {int(row['total_kcal'] or 0)} kcal gesamt)"
+
+
+def calculate_age(dob) -> str:
+    """Calculate age from date of birth (accepts date object or string)."""
+    if not dob:
+        return "unbekannt"
+    try:
+        # Handle both datetime.date objects and strings
+        if isinstance(dob, str):
+            birth = datetime.strptime(dob, '%Y-%m-%d').date()
+        else:
+            birth = dob  # Already a date object from PostgreSQL
+
+        today = datetime.now().date()
+        age = today.year - birth.year - ((today.month, today.day) < (birth.month, birth.day))
+        return str(age)
+    except Exception as e:
+        return "unbekannt"
+
+
+def get_activity_detail(profile_id: str, days: int = 14) -> str:
+    """Get detailed activity log for analysis."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT date, activity_type, duration_min, kcal_active, hr_avg
+               FROM activity_log
+               WHERE profile_id=%s AND date >= %s
+               ORDER BY date DESC
+               LIMIT 50""",
+            (profile_id, cutoff)
+        )
+        rows = [r2d(r) for r in cur.fetchall()]
+
+        if not rows:
+            return f"Keine Aktivitäten in den letzten {days} Tagen"
+
+        # Format as readable list
+        lines = []
+        for r in rows:
+            hr_str = f" HF={r['hr_avg']}" if r.get('hr_avg') else ""
+            lines.append(
+                f"{r['date']}: {r['activity_type']} ({r['duration_min']}min, {r.get('kcal_active', 0)}kcal{hr_str})"
+            )
+
+        return '\n'.join(lines[:20])  # Max 20 entries to avoid token bloat
+
+
+def get_trainingstyp_verteilung(profile_id: str, days: int = 14) -> str:
+    """Get training type distribution."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT training_category, COUNT(*) as count
+               FROM activity_log
+               WHERE profile_id=%s AND date >= %s AND training_category IS NOT NULL
+               GROUP BY training_category
+               ORDER BY count DESC""",
+            (profile_id, cutoff)
+        )
+        rows = [r2d(r) for r in cur.fetchall()]
+
+        if not rows:
+            return "Keine kategorisierten Trainings"
+
+        total = sum(r['count'] for r in rows)
+        parts = [f"{r['training_category']}: {int(r['count']/total*100)}%" for r in rows[:3]]
+        return ", ".join(parts)
+
+
+def get_sleep_avg_duration(profile_id: str, days: int = 7) -> str:
+    """Calculate average sleep duration in hours."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT sleep_segments FROM sleep_log
+               WHERE profile_id=%s AND date >= %s
+               ORDER BY date DESC""",
+            (profile_id, cutoff)
+        )
+        rows = cur.fetchall()
+
+        if not rows:
+            return "nicht verfügbar"
+
+        total_minutes = 0
+        for row in rows:
+            segments = row['sleep_segments']
+            if segments:
+                # Sum duration_min from all segments
+                for seg in segments:
+                    total_minutes += seg.get('duration_min', 0)
+
+        if total_minutes == 0:
+            return "nicht verfügbar"
+
+        avg_hours = total_minutes / len(rows) / 60
+        return f"{avg_hours:.1f}h"
+
+
+def get_sleep_avg_quality(profile_id: str, days: int = 7) -> str:
+    """Calculate average sleep quality (Deep+REM %)."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT sleep_segments FROM sleep_log
+               WHERE profile_id=%s AND date >= %s
+               ORDER BY date DESC""",
+            (profile_id, cutoff)
+        )
+        rows = cur.fetchall()
+
+        if not rows:
+            return "nicht verfügbar"
+
+        total_quality = 0
+        count = 0
+        for row in rows:
+            segments = row['sleep_segments']
+            if segments:
+                # Note: segments use 'phase' key (not 'stage'), stored lowercase (deep, rem, light, awake)
+                deep_rem_min = sum(s.get('duration_min', 0) for s in segments if s.get('phase') in ['deep', 'rem'])
+                total_min = sum(s.get('duration_min', 0) for s in segments)
+                if total_min > 0:
+                    quality_pct = (deep_rem_min / total_min) * 100
+                    total_quality += quality_pct
+                    count += 1
+
+        if count == 0:
+            return "nicht verfügbar"
+
+        avg_quality = total_quality / count
+        return f"{avg_quality:.0f}% (Deep+REM)"
+
+
+def get_rest_days_count(profile_id: str, days: int = 30) -> str:
+    """Count rest days in the given period."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT COUNT(DISTINCT date) as count FROM rest_days
+               WHERE profile_id=%s AND date >= %s""",
+            (profile_id, cutoff)
+        )
+        row = cur.fetchone()
+        count = row['count'] if row else 0
+        return f"{count} Ruhetage"
+
+
+def get_vitals_avg_hr(profile_id: str, days: int = 7) -> str:
+    """Calculate average resting heart rate."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT AVG(resting_hr) as avg FROM vitals_baseline
+               WHERE profile_id=%s AND date >= %s AND resting_hr IS NOT NULL""",
+            (profile_id, cutoff)
+        )
+        row = cur.fetchone()
+
+        if row and row['avg']:
+            return f"{int(row['avg'])} bpm"
+        return "nicht verfügbar"
+
+
+def get_vitals_avg_hrv(profile_id: str, days: int = 7) -> str:
+    """Calculate average heart rate variability."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cutoff = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+        cur.execute(
+            """SELECT AVG(hrv) as avg FROM vitals_baseline
+               WHERE profile_id=%s AND date >= %s AND hrv IS NOT NULL""",
+            (profile_id, cutoff)
+        )
+        row = cur.fetchone()
+
+        if row and row['avg']:
+            return f"{int(row['avg'])} ms"
+        return "nicht verfügbar"
+
+
+def get_vitals_vo2_max(profile_id: str) -> str:
+    """Get latest VO2 Max value."""
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute(
+            """SELECT vo2_max FROM vitals_baseline
+               WHERE profile_id=%s AND vo2_max IS NOT NULL
+               ORDER BY date DESC LIMIT 1""",
+            (profile_id,)
+        )
+        row = cur.fetchone()
+
+        if row and row['vo2_max']:
+            return f"{row['vo2_max']:.1f} ml/kg/min"
+        return "nicht verfügbar"
+
+
+# ── Placeholder Registry ──────────────────────────────────────────────────────
+
+PLACEHOLDER_MAP: Dict[str, Callable[[str], str]] = {
+    # Profil
+    '{{name}}': lambda pid: get_profile_data(pid).get('name', 'Nutzer'),
+    '{{age}}': lambda pid: calculate_age(get_profile_data(pid).get('dob')),
+    '{{height}}': lambda pid: str(get_profile_data(pid).get('height', 'unbekannt')),
+    '{{geschlecht}}': lambda pid: 'männlich' if get_profile_data(pid).get('sex') == 'm' else 'weiblich',
+
+    # Körper
+    '{{weight_aktuell}}': get_latest_weight,
+    '{{weight_trend}}': get_weight_trend,
+    '{{kf_aktuell}}': get_latest_bf,
+    '{{bmi}}': lambda pid: calculate_bmi(pid),
+    '{{caliper_summary}}': get_caliper_summary,
+    '{{circ_summary}}': get_circ_summary,
+    '{{goal_weight}}': get_goal_weight,
+    '{{goal_bf_pct}}': get_goal_bf_pct,
+
+    # Ernährung
+    '{{kcal_avg}}': lambda pid: get_nutrition_avg(pid, 'kcal', 30),
+    '{{protein_avg}}': lambda pid: get_nutrition_avg(pid, 'protein', 30),
+    '{{carb_avg}}': lambda pid: get_nutrition_avg(pid, 'carb', 30),
+    '{{fat_avg}}': lambda pid: get_nutrition_avg(pid, 'fat', 30),
+    '{{nutrition_days}}': lambda pid: get_nutrition_days(pid, 30),
+    '{{protein_ziel_low}}': get_protein_ziel_low,
+    '{{protein_ziel_high}}': get_protein_ziel_high,
+
+    # Training
+    '{{activity_summary}}': get_activity_summary,
+    '{{activity_detail}}': get_activity_detail,
+    '{{trainingstyp_verteilung}}': get_trainingstyp_verteilung,
+
+    # Schlaf & Erholung
+    '{{sleep_avg_duration}}': lambda pid: get_sleep_avg_duration(pid, 7),
+    '{{sleep_avg_quality}}': lambda pid: get_sleep_avg_quality(pid, 7),
+    '{{rest_days_count}}': lambda pid: get_rest_days_count(pid, 30),
+
+    # Vitalwerte
+    '{{vitals_avg_hr}}': lambda pid: get_vitals_avg_hr(pid, 7),
+    '{{vitals_avg_hrv}}': lambda pid: get_vitals_avg_hrv(pid, 7),
+    '{{vitals_vo2_max}}': get_vitals_vo2_max,
+
+    # Zeitraum
+    '{{datum_heute}}': lambda pid: datetime.now().strftime('%d.%m.%Y'),
+    '{{zeitraum_7d}}': lambda pid: 'letzte 7 Tage',
+    '{{zeitraum_30d}}': lambda pid: 'letzte 30 Tage',
+    '{{zeitraum_90d}}': lambda pid: 'letzte 90 Tage',
+}
+
+
+def calculate_bmi(profile_id: str) -> str:
+    """Calculate BMI from latest weight and profile height."""
+    profile = get_profile_data(profile_id)
+    if not profile.get('height'):
+        return "nicht verfügbar"
+
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute(
+            "SELECT weight FROM weight_log WHERE profile_id=%s ORDER BY date DESC LIMIT 1",
+            (profile_id,)
+        )
+        row = cur.fetchone()
+        if not row:
+            return "nicht verfügbar"
+
+        height_m = profile['height'] / 100
+        bmi = row['weight'] / (height_m ** 2)
+        return f"{bmi:.1f}"
+
+
+# ── Public API ────────────────────────────────────────────────────────────────
+
+def resolve_placeholders(template: str, profile_id: str) -> str:
+    """
+    Replace all {{placeholders}} in template with actual user data.
+
+    Args:
+        template: Prompt template with placeholders
+        profile_id: User profile ID
+
+    Returns:
+        Resolved template with placeholders replaced by values
+    """
+    result = template
+
+    for placeholder, resolver in PLACEHOLDER_MAP.items():
+        if placeholder in result:
+            try:
+                value = resolver(profile_id)
+                result = result.replace(placeholder, str(value))
+            except Exception as e:
+                # On error, replace with error message
+                result = result.replace(placeholder, f"[Fehler: {placeholder}]")
+
+    return result
+
+
+def get_unknown_placeholders(template: str) -> List[str]:
+    """
+    Find all placeholders in template that are not in PLACEHOLDER_MAP.
+
+    Args:
+        template: Prompt template
+
+    Returns:
+        List of unknown placeholder names (without {{}})
+    """
+    # Find all {{...}} patterns
+    found = re.findall(r'\{\{(\w+)\}\}', template)
+
+    # Filter to only unknown ones
+    known_names = {p.strip('{}') for p in PLACEHOLDER_MAP.keys()}
+    unknown = [p for p in found if p not in known_names]
+
+    return list(set(unknown))  # Remove duplicates
+
+
+def get_available_placeholders(categories: Optional[List[str]] = None) -> Dict[str, List[str]]:
+    """
+    Get available placeholders, optionally filtered by categories.
+
+    Args:
+        categories: Optional list of categories to filter (körper, ernährung, training, etc.)
+
+    Returns:
+        Dict mapping category to list of placeholders
+    """
+    placeholder_categories = {
+        'profil': [
+            '{{name}}', '{{age}}', '{{height}}', '{{geschlecht}}'
+        ],
+        'körper': [
+            '{{weight_aktuell}}', '{{weight_trend}}', '{{kf_aktuell}}', '{{bmi}}'
+        ],
+        'ernährung': [
+            '{{kcal_avg}}', '{{protein_avg}}', '{{carb_avg}}', '{{fat_avg}}'
+        ],
+        'training': [
+            '{{activity_summary}}', '{{trainingstyp_verteilung}}'
+        ],
+        'zeitraum': [
+            '{{datum_heute}}', '{{zeitraum_7d}}', '{{zeitraum_30d}}', '{{zeitraum_90d}}'
+        ]
+    }
+
+    if not categories:
+        return placeholder_categories
+
+    # Filter to requested categories
+    return {k: v for k, v in placeholder_categories.items() if k in categories}
+
+
+def get_placeholder_example_values(profile_id: str) -> Dict[str, str]:
+    """
+    Get example values for all placeholders using real user data.
+
+    Args:
+        profile_id: User profile ID
+
+    Returns:
+        Dict mapping placeholder to example value
+    """
+    examples = {}
+
+    for placeholder, resolver in PLACEHOLDER_MAP.items():
+        try:
+            examples[placeholder] = resolver(profile_id)
+        except Exception as e:
+            examples[placeholder] = f"[Fehler: {str(e)}]"
+
+    return examples
+
+
+def get_placeholder_catalog(profile_id: str) -> Dict[str, List[Dict[str, str]]]:
+    """
+    Get grouped placeholder catalog with descriptions and example values.
+
+    Args:
+        profile_id: User profile ID
+
+    Returns:
+        Dict mapping category to list of {key, description, example}
+    """
+    # Placeholder definitions with descriptions
+    placeholders = {
+        'Profil': [
+            ('name', 'Name des Nutzers'),
+            ('age', 'Alter in Jahren'),
+            ('height', 'Körpergröße in cm'),
+            ('geschlecht', 'Geschlecht'),
+        ],
+        'Körper': [
+            ('weight_aktuell', 'Aktuelles Gewicht in kg'),
+            ('weight_trend', 'Gewichtstrend (7d/30d)'),
+            ('kf_aktuell', 'Aktueller Körperfettanteil in %'),
+            ('bmi', 'Body Mass Index'),
+        ],
+        'Ernährung': [
+            ('kcal_avg', 'Durchschn. Kalorien (30d)'),
+            ('protein_avg', 'Durchschn. Protein in g (30d)'),
+            ('carb_avg', 'Durchschn. Kohlenhydrate in g (30d)'),
+            ('fat_avg', 'Durchschn. Fett in g (30d)'),
+        ],
+        'Training': [
+            ('activity_summary', 'Aktivitäts-Zusammenfassung (7d)'),
+            ('trainingstyp_verteilung', 'Verteilung nach Trainingstypen'),
+        ],
+        'Schlaf & Erholung': [
+            ('sleep_avg_duration', 'Durchschn. Schlafdauer (7d)'),
+            ('sleep_avg_quality', 'Durchschn. Schlafqualität (7d)'),
+            ('rest_days_count', 'Anzahl Ruhetage (30d)'),
+        ],
+        'Vitalwerte': [
+            ('vitals_avg_hr', 'Durchschn. Ruhepuls (7d)'),
+            ('vitals_avg_hrv', 'Durchschn. HRV (7d)'),
+            ('vitals_vo2_max', 'Aktueller VO2 Max'),
+        ],
+        'Zeitraum': [
+            ('datum_heute', 'Heutiges Datum'),
+            ('zeitraum_7d', '7-Tage-Zeitraum'),
+            ('zeitraum_30d', '30-Tage-Zeitraum'),
+        ],
+    }
+
+    catalog = {}
+
+    for category, items in placeholders.items():
+        catalog[category] = []
+        for key, description in items:
+            placeholder = f'{{{{{key}}}}}'
+            # Get example value if resolver exists
+            resolver = PLACEHOLDER_MAP.get(placeholder)
+            if resolver:
+                try:
+                    example = resolver(profile_id)
+                except Exception:
+                    example = '[Nicht verfügbar]'
+            else:
+                example = '[Nicht implementiert]'
+
+            catalog[category].append({
+                'key': key,
+                'description': description,
+                'example': str(example)
+            })
+
+    return catalog

backend/prompt_executor.py

@@ -0,0 +1,526 @@
+"""
+Unified Prompt Executor (Issue #28 Phase 2)
+
+Executes both base and pipeline-type prompts with:
+- Dynamic placeholder resolution
+- JSON output validation
+- Multi-stage parallel execution
+- Reference and inline prompt support
+"""
+import json
+import re
+from typing import Dict, Any, Optional
+from db import get_db, get_cursor, r2d
+from fastapi import HTTPException
+
+
+def resolve_placeholders(template: str, variables: Dict[str, Any], debug_info: Optional[Dict] = None, catalog: Optional[Dict] = None) -> str:
+    """
+    Replace {{placeholder}} with values from variables dict.
+
+    Supports modifiers:
+    - {{key|d}} - Include description in parentheses (requires catalog)
+
+    Args:
+        template: String with {{key}} or {{key|modifiers}} placeholders
+        variables: Dict of key -> value mappings
+        debug_info: Optional dict to collect debug information
+        catalog: Optional placeholder catalog for descriptions (from get_placeholder_catalog)
+
+    Returns:
+        Template with placeholders replaced
+    """
+    resolved = {}
+    unresolved = []
+
+    def replacer(match):
+        full_placeholder = match.group(1).strip()
+
+        # Parse key and modifiers (e.g., "weight_aktuell|d" -> key="weight_aktuell", modifiers="d")
+        parts = full_placeholder.split('|')
+        key = parts[0].strip()
+        modifiers = parts[1].strip() if len(parts) > 1 else ''
+
+        if key in variables:
+            value = variables[key]
+            # Convert dict/list to JSON string
+            if isinstance(value, (dict, list)):
+                resolved_value = json.dumps(value, ensure_ascii=False)
+            else:
+                resolved_value = str(value)
+
+            # Apply modifiers
+            if 'd' in modifiers:
+                if catalog:
+                    # Add description from catalog
+                    description = None
+                    for cat_items in catalog.values():
+                        matching = [item for item in cat_items if item['key'] == key]
+                        if matching:
+                            description = matching[0].get('description', '')
+                            break
+
+                    if description:
+                        resolved_value = f"{resolved_value} ({description})"
+                else:
+                    # Catalog not available - log warning in debug
+                    if debug_info is not None:
+                        if 'warnings' not in debug_info:
+                            debug_info['warnings'] = []
+                        debug_info['warnings'].append(f"Modifier |d used but catalog not available for {key}")
+
+            # Track resolution for debug
+            if debug_info is not None:
+                resolved[key] = resolved_value[:100] + ('...' if len(resolved_value) > 100 else '')
+
+            return resolved_value
+        else:
+            # Keep placeholder if no value found
+            if debug_info is not None:
+                unresolved.append(key)
+            return match.group(0)
+
+    result = re.sub(r'\{\{([^}]+)\}\}', replacer, template)
+
+    # Store debug info
+    if debug_info is not None:
+        debug_info['resolved_placeholders'] = resolved
+        debug_info['unresolved_placeholders'] = unresolved
+
+    return result
+
+
+def validate_json_output(output: str, schema: Optional[Dict] = None, debug_info: Optional[Dict] = None) -> Dict:
+    """
+    Validate that output is valid JSON.
+
+    Unwraps Markdown-wrapped JSON (```json ... ```) if present.
+
+    Args:
+        output: String to validate
+        schema: Optional JSON schema to validate against (TODO: jsonschema library)
+        debug_info: Optional dict to attach to error for debugging
+
+    Returns:
+        Parsed JSON dict
+
+    Raises:
+        HTTPException: If output is not valid JSON (with debug info attached)
+    """
+    # Try to unwrap Markdown code blocks (common AI pattern)
+    unwrapped = output.strip()
+    if unwrapped.startswith('```json'):
+        # Extract content between ```json and ```
+        lines = unwrapped.split('\n')
+        if len(lines) > 2 and lines[-1].strip() == '```':
+            unwrapped = '\n'.join(lines[1:-1])
+    elif unwrapped.startswith('```'):
+        # Generic code block
+        lines = unwrapped.split('\n')
+        if len(lines) > 2 and lines[-1].strip() == '```':
+            unwrapped = '\n'.join(lines[1:-1])
+
+    try:
+        parsed = json.loads(unwrapped)
+        # TODO: Add jsonschema validation if schema provided
+        return parsed
+    except json.JSONDecodeError as e:
+        error_detail = {
+            "error": f"AI returned invalid JSON: {str(e)}",
+            "raw_output": output[:500] + ('...' if len(output) > 500 else ''),
+            "unwrapped": unwrapped[:500] if unwrapped != output else None,
+            "output_length": len(output)
+        }
+        if debug_info:
+            error_detail["debug"] = debug_info
+
+        raise HTTPException(
+            status_code=500,
+            detail=error_detail
+        )
+
+
+async def execute_prompt(
+    prompt_slug: str,
+    variables: Dict[str, Any],
+    openrouter_call_func,
+    enable_debug: bool = False
+) -> Dict[str, Any]:
+    """
+    Execute a single prompt (base or pipeline type).
+
+    Args:
+        prompt_slug: Slug of prompt to execute
+        variables: Dict of variables for placeholder replacement
+        openrouter_call_func: Async function(prompt_text) -> response_text
+        enable_debug: If True, include debug information in response
+
+    Returns:
+        Dict with execution results:
+        {
+            "type": "base" | "pipeline",
+            "slug": "...",
+            "output": "..." | {...},  # String or parsed JSON
+            "stages": [...]  # Only for pipeline type
+            "debug": {...}  # Only if enable_debug=True
+        }
+    """
+    # Load prompt from database
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        cur.execute(
+            """SELECT * FROM ai_prompts
+               WHERE slug = %s AND active = true""",
+            (prompt_slug,)
+        )
+        row = cur.fetchone()
+        if not row:
+            raise HTTPException(404, f"Prompt nicht gefunden: {prompt_slug}")
+
+        prompt = r2d(row)
+
+    prompt_type = prompt.get('type', 'pipeline')
+
+    # Get catalog from variables if available (passed from execute_prompt_with_data)
+    catalog = variables.pop('_catalog', None) if '_catalog' in variables else None
+
+    if prompt_type == 'base':
+        # Base prompt: single execution with template
+        return await execute_base_prompt(prompt, variables, openrouter_call_func, enable_debug, catalog)
+
+    elif prompt_type == 'pipeline':
+        # Pipeline prompt: multi-stage execution
+        return await execute_pipeline_prompt(prompt, variables, openrouter_call_func, enable_debug, catalog)
+
+    else:
+        raise HTTPException(400, f"Unknown prompt type: {prompt_type}")
+
+
+async def execute_base_prompt(
+    prompt: Dict,
+    variables: Dict[str, Any],
+    openrouter_call_func,
+    enable_debug: bool = False,
+    catalog: Optional[Dict] = None
+) -> Dict[str, Any]:
+    """Execute a base-type prompt (single template)."""
+    template = prompt.get('template')
+    if not template:
+        raise HTTPException(400, f"Base prompt missing template: {prompt['slug']}")
+
+    debug_info = {} if enable_debug else None
+
+    # Resolve placeholders (with optional catalog for |d modifier)
+    prompt_text = resolve_placeholders(template, variables, debug_info, catalog)
+
+    if enable_debug:
+        debug_info['template'] = template
+        debug_info['final_prompt'] = prompt_text[:500] + ('...' if len(prompt_text) > 500 else '')
+        debug_info['available_variables'] = list(variables.keys())
+
+    # Call AI
+    response = await openrouter_call_func(prompt_text)
+
+    if enable_debug:
+        debug_info['ai_response_length'] = len(response)
+        debug_info['ai_response_preview'] = response[:200] + ('...' if len(response) > 200 else '')
+
+    # Validate JSON if required
+    output_format = prompt.get('output_format', 'text')
+    if output_format == 'json':
+        output = validate_json_output(response, prompt.get('output_schema'), debug_info if enable_debug else None)
+    else:
+        output = response
+
+    result = {
+        "type": "base",
+        "slug": prompt['slug'],
+        "output": output,
+        "output_format": output_format
+    }
+
+    if enable_debug:
+        result['debug'] = debug_info
+
+    return result
+
+
+async def execute_pipeline_prompt(
+    prompt: Dict,
+    variables: Dict[str, Any],
+    openrouter_call_func,
+    enable_debug: bool = False,
+    catalog: Optional[Dict] = None
+) -> Dict[str, Any]:
+    """
+    Execute a pipeline-type prompt (multi-stage).
+
+    Each stage's results are added to variables for next stage.
+    """
+    stages = prompt.get('stages')
+    if not stages:
+        raise HTTPException(400, f"Pipeline prompt missing stages: {prompt['slug']}")
+
+    # Parse stages if stored as JSON string
+    if isinstance(stages, str):
+        stages = json.loads(stages)
+
+    stage_results = []
+    context_vars = variables.copy()
+    pipeline_debug = [] if enable_debug else None
+
+    # Execute stages in order
+    for stage_def in sorted(stages, key=lambda s: s['stage']):
+        stage_num = stage_def['stage']
+        stage_prompts = stage_def.get('prompts', [])
+
+        if not stage_prompts:
+            continue
+
+        stage_debug = {} if enable_debug else None
+        if enable_debug:
+            stage_debug['stage'] = stage_num
+            stage_debug['available_variables'] = list(context_vars.keys())
+            stage_debug['prompts'] = []
+
+        # Execute all prompts in this stage (parallel concept, sequential impl for now)
+        stage_outputs = {}
+
+        for prompt_def in stage_prompts:
+            source = prompt_def.get('source')
+            output_key = prompt_def.get('output_key', f'stage{stage_num}')
+            output_format = prompt_def.get('output_format', 'text')
+
+            prompt_debug = {} if enable_debug else None
+
+            if source == 'reference':
+                # Reference to another prompt
+                ref_slug = prompt_def.get('slug')
+                if not ref_slug:
+                    raise HTTPException(400, f"Reference prompt missing slug in stage {stage_num}")
+
+                if enable_debug:
+                    prompt_debug['source'] = 'reference'
+                    prompt_debug['ref_slug'] = ref_slug
+
+                # Load referenced prompt
+                result = await execute_prompt(ref_slug, context_vars, openrouter_call_func, enable_debug)
+                output = result['output']
+
+                if enable_debug and 'debug' in result:
+                    prompt_debug['ref_debug'] = result['debug']
+
+            elif source == 'inline':
+                # Inline template
+                template = prompt_def.get('template')
+                if not template:
+                    raise HTTPException(400, f"Inline prompt missing template in stage {stage_num}")
+
+                placeholder_debug = {} if enable_debug else None
+                prompt_text = resolve_placeholders(template, context_vars, placeholder_debug, catalog)
+
+                if enable_debug:
+                    prompt_debug['source'] = 'inline'
+                    prompt_debug['template'] = template
+                    prompt_debug['final_prompt'] = prompt_text[:500] + ('...' if len(prompt_text) > 500 else '')
+                    prompt_debug.update(placeholder_debug)
+
+                response = await openrouter_call_func(prompt_text)
+
+                if enable_debug:
+                    prompt_debug['ai_response_length'] = len(response)
+                    prompt_debug['ai_response_preview'] = response[:200] + ('...' if len(response) > 200 else '')
+
+                # Validate JSON if required
+                if output_format == 'json':
+                    output = validate_json_output(response, prompt_def.get('output_schema'), prompt_debug if enable_debug else None)
+                else:
+                    output = response
+
+            else:
+                raise HTTPException(400, f"Unknown prompt source: {source}")
+
+            # Store output with key
+            stage_outputs[output_key] = output
+
+            # Add to context for next stage
+            context_var_key = f'stage_{stage_num}_{output_key}'
+            context_vars[context_var_key] = output
+
+            if enable_debug:
+                prompt_debug['output_key'] = output_key
+                prompt_debug['context_var_key'] = context_var_key
+                stage_debug['prompts'].append(prompt_debug)
+
+        stage_results.append({
+            "stage": stage_num,
+            "outputs": stage_outputs
+        })
+
+        if enable_debug:
+            stage_debug['output'] = stage_outputs  # Add outputs to debug info for value table
+            pipeline_debug.append(stage_debug)
+
+    # Final output is last stage's first output
+    final_output = stage_results[-1]['outputs'] if stage_results else {}
+
+    result = {
+        "type": "pipeline",
+        "slug": prompt['slug'],
+        "stages": stage_results,
+        "output": final_output,
+        "output_format": prompt.get('output_format', 'text')
+    }
+
+    if enable_debug:
+        result['debug'] = {
+            'initial_variables': list(variables.keys()),
+            'stages': pipeline_debug
+        }
+
+    return result
+
+
+async def execute_prompt_with_data(
+    prompt_slug: str,
+    profile_id: str,
+    modules: Optional[Dict[str, bool]] = None,
+    timeframes: Optional[Dict[str, int]] = None,
+    openrouter_call_func = None,
+    enable_debug: bool = False
+) -> Dict[str, Any]:
+    """
+    Execute prompt with data loaded from database.
+
+    Args:
+        prompt_slug: Slug of prompt to execute
+        profile_id: User profile ID
+        modules: Dict of module -> enabled (e.g., {"körper": true})
+        timeframes: Dict of module -> days (e.g., {"körper": 30})
+        openrouter_call_func: Async function for AI calls
+        enable_debug: If True, include debug information in response
+
+    Returns:
+        Execution result dict
+    """
+    from datetime import datetime, timedelta
+    from placeholder_resolver import get_placeholder_example_values, get_placeholder_catalog
+
+    # Build variables from data modules
+    variables = {
+        'profile_id': profile_id,
+        'today': datetime.now().strftime('%Y-%m-%d')
+    }
+
+    # Load placeholder catalog for |d modifier support
+    try:
+        catalog = get_placeholder_catalog(profile_id)
+    except Exception as e:
+        catalog = None
+        print(f"Warning: Could not load placeholder catalog: {e}")
+
+    variables['_catalog'] = catalog  # Will be popped in execute_prompt (can be None)
+
+    # Add PROCESSED placeholders (name, weight_trend, caliper_summary, etc.)
+    # This makes old-style prompts work with the new executor
+    try:
+        processed_placeholders = get_placeholder_example_values(profile_id)
+        # Remove {{ }} from keys (placeholder_resolver returns them with wrappers)
+        cleaned_placeholders = {
+            key.replace('{{', '').replace('}}', ''): value
+            for key, value in processed_placeholders.items()
+        }
+        variables.update(cleaned_placeholders)
+    except Exception as e:
+        # Continue even if placeholder resolution fails
+        if enable_debug:
+            variables['_placeholder_error'] = str(e)
+
+    # Load data for enabled modules
+    if modules:
+        with get_db() as conn:
+            cur = get_cursor(conn)
+
+            # Weight data
+            if modules.get('körper'):
+                days = timeframes.get('körper', 30)
+                since = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+                cur.execute(
+                    """SELECT date, weight FROM weight_log
+                       WHERE profile_id = %s AND date >= %s
+                       ORDER BY date DESC""",
+                    (profile_id, since)
+                )
+                variables['weight_data'] = [r2d(r) for r in cur.fetchall()]
+
+            # Nutrition data
+            if modules.get('ernährung'):
+                days = timeframes.get('ernährung', 30)
+                since = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+                cur.execute(
+                    """SELECT date, kcal, protein_g, fat_g, carbs_g
+                       FROM nutrition_log
+                       WHERE profile_id = %s AND date >= %s
+                       ORDER BY date DESC""",
+                    (profile_id, since)
+                )
+                variables['nutrition_data'] = [r2d(r) for r in cur.fetchall()]
+
+            # Activity data
+            if modules.get('training'):
+                days = timeframes.get('training', 14)
+                since = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+                cur.execute(
+                    """SELECT date, activity_type, duration_min, kcal_active, hr_avg
+                       FROM activity_log
+                       WHERE profile_id = %s AND date >= %s
+                       ORDER BY date DESC""",
+                    (profile_id, since)
+                )
+                variables['activity_data'] = [r2d(r) for r in cur.fetchall()]
+
+            # Sleep data
+            if modules.get('schlaf'):
+                days = timeframes.get('schlaf', 14)
+                since = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+                cur.execute(
+                    """SELECT date, sleep_segments, source
+                       FROM sleep_log
+                       WHERE profile_id = %s AND date >= %s
+                       ORDER BY date DESC""",
+                    (profile_id, since)
+                )
+                variables['sleep_data'] = [r2d(r) for r in cur.fetchall()]
+
+            # Vitals data
+            if modules.get('vitalwerte'):
+                days = timeframes.get('vitalwerte', 7)
+                since = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+
+                # Baseline vitals
+                cur.execute(
+                    """SELECT date, resting_hr, hrv, vo2_max, spo2, respiratory_rate
+                       FROM vitals_baseline
+                       WHERE profile_id = %s AND date >= %s
+                       ORDER BY date DESC""",
+                    (profile_id, since)
+                )
+                variables['vitals_baseline'] = [r2d(r) for r in cur.fetchall()]
+
+                # Blood pressure
+                cur.execute(
+                    """SELECT measured_at, systolic, diastolic, pulse
+                       FROM blood_pressure_log
+                       WHERE profile_id = %s AND measured_at >= %s
+                       ORDER BY measured_at DESC""",
+                    (profile_id, since + ' 00:00:00')
+                )
+                variables['blood_pressure'] = [r2d(r) for r in cur.fetchall()]
+
+            # Mental/Goals (no timeframe, just current state)
+            if modules.get('mentales') or modules.get('ziele'):
+                # TODO: Add mental state / goals data when implemented
+                variables['goals_data'] = []
+
+    # Execute prompt
+    return await execute_prompt(prompt_slug, variables, openrouter_call_func, enable_debug)

backend/routers/insights.py

@@ -433,8 +433,17 @@ async def analyze_with_prompt(slug: str, x_profile_id: Optional[str]=Header(defa
 
 
 @router.post("/insights/pipeline")
-async def analyze_pipeline(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
+async def analyze_pipeline(
-    """Run 3-stage pipeline analysis."""
+    config_id: Optional[str] = None,
+    x_profile_id: Optional[str] = Header(default=None),
+    session: dict = Depends(require_auth)
+):
+    """
+    Run configurable multi-stage pipeline analysis.
+
+    Args:
+        config_id: Pipeline config ID (optional, uses default if not specified)
+    """
     pid = get_pid(x_profile_id)
 
     # Phase 4: Check pipeline feature access (boolean - enabled/disabled)
@@ -466,14 +475,34 @@ async def analyze_pipeline(x_profile_id: Optional[str]=Header(default=None), ses
                    f"Bitte kontaktiere den Admin oder warte bis zum nächsten Reset."
         )
 
+    # Load pipeline config
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        if config_id:
+            cur.execute("SELECT * FROM pipeline_configs WHERE id=%s AND active=true", (config_id,))
+        else:
+            cur.execute("SELECT * FROM pipeline_configs WHERE is_default=true AND active=true")
+
+        config = r2d(cur.fetchone())
+        if not config:
+            raise HTTPException(404, "Pipeline-Konfiguration nicht gefunden")
+
+        logger.info(f"[PIPELINE] Using config '{config['name']}' (id={config['id']})")
+
     data = _get_profile_data(pid)
     vars = _prepare_template_vars(data)
 
-    # Stage 1: Parallel JSON analyses
+    # Stage 1: Load and execute prompts from config
+    stage1_prompts = []
     with get_db() as conn:
         cur = get_cursor(conn)
-        cur.execute("SELECT slug, template FROM ai_prompts WHERE slug LIKE 'pipeline_%' AND slug NOT IN ('pipeline_synthesis','pipeline_goals') AND active=true")
+        for slug in config['stage1_prompts']:
-        stage1_prompts = [r2d(r) for r in cur.fetchall()]
+            cur.execute("SELECT slug, template FROM ai_prompts WHERE slug=%s AND active=true", (slug,))
+            prompt = r2d(cur.fetchone())
+            if prompt:
+                stage1_prompts.append(prompt)
+            else:
+                logger.warning(f"[PIPELINE] Stage 1 prompt '{slug}' not found or inactive")
 
     stage1_results = {}
     for p in stage1_prompts:
@@ -510,17 +539,20 @@ async def analyze_pipeline(x_profile_id: Optional[str]=Header(default=None), ses
         except:
             stage1_results[slug] = content
 
-    # Stage 2: Synthesis
+    # Stage 2: Synthesis with dynamic placeholders
-    vars['stage1_body'] = json.dumps(stage1_results.get('pipeline_body', {}), ensure_ascii=False)
+    # Inject all stage1 results as {{stage1_<slug>}} placeholders
-    vars['stage1_nutrition'] = json.dumps(stage1_results.get('pipeline_nutrition', {}), ensure_ascii=False)
+    for slug, result in stage1_results.items():
-    vars['stage1_activity'] = json.dumps(stage1_results.get('pipeline_activity', {}), ensure_ascii=False)
+        # Convert slug like "pipeline_body" to placeholder name "stage1_body"
+        placeholder_name = slug.replace('pipeline_', 'stage1_')
+        vars[placeholder_name] = json.dumps(result, ensure_ascii=False) if isinstance(result, dict) else str(result)
 
+    # Load stage 2 prompt from config
     with get_db() as conn:
         cur = get_cursor(conn)
-        cur.execute("SELECT template FROM ai_prompts WHERE slug='pipeline_synthesis' AND active=true")
+        cur.execute("SELECT template FROM ai_prompts WHERE slug=%s AND active=true", (config['stage2_prompt'],))
         synth_row = cur.fetchone()
         if not synth_row:
-            raise HTTPException(500, "Pipeline synthesis prompt not found")
+            raise HTTPException(500, f"Pipeline synthesis prompt '{config['stage2_prompt']}' not found")
 
     synth_prompt = _render_template(synth_row['template'], vars)
 
@@ -548,16 +580,24 @@ async def analyze_pipeline(x_profile_id: Optional[str]=Header(default=None), ses
     else:
         raise HTTPException(500, "Keine KI-API konfiguriert")
 
-    # Stage 3: Goals (only if goals are set)
+    # Stage 3: Optional (e.g., Goals)
     goals_text = None
-    prof = data['profile']
+    if config.get('stage3_prompt'):
-    if prof.get('goal_weight') or prof.get('goal_bf_pct'):
+        # Check if conditions are met (for backwards compatibility with goals check)
-        with get_db() as conn:
+        prof = data['profile']
-            cur = get_cursor(conn)
+        should_run_stage3 = True
-            cur.execute("SELECT template FROM ai_prompts WHERE slug='pipeline_goals' AND active=true")
+
-            goals_row = cur.fetchone()
+        # Special case: goals prompt only runs if goals are set
-            if goals_row:
+        if config['stage3_prompt'] == 'pipeline_goals':
-                goals_prompt = _render_template(goals_row['template'], vars)
+            should_run_stage3 = bool(prof.get('goal_weight') or prof.get('goal_bf_pct'))
+
+        if should_run_stage3:
+            with get_db() as conn:
+                cur = get_cursor(conn)
+                cur.execute("SELECT template FROM ai_prompts WHERE slug=%s AND active=true", (config['stage3_prompt'],))
+                goals_row = cur.fetchone()
+                if goals_row:
+                    goals_prompt = _render_template(goals_row['template'], vars)
 
                 if ANTHROPIC_KEY:
                     import anthropic
@@ -586,11 +626,14 @@ async def analyze_pipeline(x_profile_id: Optional[str]=Header(default=None), ses
     if goals_text:
         final_content += "\n\n" + goals_text
 
-    # Save as 'pipeline' scope (with history - no DELETE)
+    # Save with config-specific scope (with history - no DELETE)
+    scope = f"pipeline_{config['name'].lower().replace(' ', '_')}"
     with get_db() as conn:
         cur = get_cursor(conn)
-        cur.execute("INSERT INTO ai_insights (id, profile_id, scope, content, created) VALUES (%s,%s,'pipeline',%s,CURRENT_TIMESTAMP)",
+        cur.execute("INSERT INTO ai_insights (id, profile_id, scope, content, created) VALUES (%s,%s,%s,%s,CURRENT_TIMESTAMP)",
-            (str(uuid.uuid4()), pid, final_content))
+            (str(uuid.uuid4()), pid, scope, final_content))
+
+    logger.info(f"[PIPELINE] Completed '{config['name']}' - saved as scope='{scope}'")
 
     # Phase 2: Increment ai_calls usage (pipeline uses multiple API calls)
     # Note: We increment once per pipeline run, not per individual call
@@ -599,7 +642,15 @@ async def analyze_pipeline(x_profile_id: Optional[str]=Header(default=None), ses
     # Old usage tracking (keep for now)
     inc_ai_usage(pid)
 
-    return {"scope": "pipeline", "content": final_content, "stage1": stage1_results}
+    return {
+        "scope": scope,
+        "content": final_content,
+        "stage1": stage1_results,
+        "config": {
+            "id": config['id'],
+            "name": config['name']
+        }
+    }
 
 
 @router.get("/ai/usage")

docs/issues/issue-50-value-table-refinement.md

@@ -0,0 +1,181 @@
+# Enhancement: Wertetabelle Optimierung
+
+**Labels:** enhancement, ux
+**Priority:** Medium (Phase 1)
+**Related:** Issue #47 (Value Table - Complete)
+
+## Beschreibung
+Wertetabelle übersichtlicher gestalten durch intelligente Filterung und Beschreibungs-Vervollständigung.
+
+## Problem (aktueller Stand)
+
+Nach Implementierung von Issue #47 haben wir eine sehr umfangreiche Wertetabelle mit:
+- Reguläre Platzhalter (PROFIL, KÖRPER, etc.)
+- Extrahierte Einzelwerte aus Stages (↳ Symbol)
+- Rohdaten der Stage-Outputs (🔬 JSON)
+
+**Probleme:**
+1. Zu viele Werte im Normal-Modus (unübersichtlich)
+2. Stage-Rohdaten sollten nur im Experten-Modus sichtbar sein
+3. Einige Platzhalter haben keine/unvollständige Beschreibungen
+
+## Gewünschtes Verhalten
+
+### Normal-Modus (Standard)
+```
+📊 Verwendete Werte (24)                    [🔬 Experten-Modus]
+
+PROFIL
+├─ name: Lars Stommer
+├─ age: 35 Jahre (Geburtsdatum 1990-05-15)
+├─ height: 178cm (Körpergröße)
+
+KÖRPER
+├─ weight_aktuell: 85.2kg (Aktuelles Gewicht)
+├─ bmi: 26.9 (Body-Mass-Index)
+├─ bmi_interpretation: Leicht übergewichtig (BMI-Bewertung)
+├─ kf_aktuell: 18.5% (Körperfettanteil)
+
+ERNÄHRUNG
+├─ kcal_avg: 2450 kcal (Durchschnitt 7 Tage)
+...
+
+Stage 1 - Body (Extrahierte Werte)
+├─ ↳ trend: leicht sinkend (Gewichtstrend)
+├─ ↳ ziel_erreichbar: ja, in 8 Wochen (Zielerreichbarkeit)
+```
+
+**Ausgeblendet:**
+- 🔬 stage_1_stage1_body (komplettes JSON)
+- Leere/nicht verfügbare Werte
+
+### Experten-Modus
+```
+📊 Verwendete Werte (32)                    [🔬 Experten-Modus ✓]
+
+[... wie Normal-Modus ...]
+
+Stage 1 - Rohdaten
+├─ 🔬 stage_1_stage1_body
+   └─ [JSON anzeigen ▼]
+      {
+        "bmi": 26.9,
+        "trend": "leicht sinkend",
+        "ziel_erreichbar": "ja, in 8 Wochen",
+        "interpretation": "Dein BMI liegt..."
+      }
+
+Stage 2 - Rohdaten
+├─ 🔬 stage_2_stage2_nutrition
+   └─ [JSON anzeigen ▼]
+      { ... }
+```
+
+**Zusätzlich sichtbar:**
+- Alle Stage-Rohdaten (🔬 JSON)
+- Leere/nicht verfügbare Werte
+- Debug-Informationen
+
+## Technische Umsetzung
+
+### 1. Filterlogik anpassen (Analysis.jsx)
+
+**Aktuell:**
+```javascript
+const placeholders = expertMode
+  ? allPlaceholders
+  : Object.fromEntries(
+      Object.entries(allPlaceholders).filter(([key, data]) => {
+        if (data.is_stage_raw) return false  // Versteckt Rohdaten
+        const val = data.value || ''
+        return val.trim() !== '' && val !== 'nicht verfügbar'
+      })
+    )
+```
+
+**Problem:** `is_stage_raw` wird nur für Keys wie "stage_1_stage1_body" gesetzt, nicht für extrahierte Werte.
+
+**Lösung:** Neue Flag `is_extracted` (bereits vorhanden) wird beibehalten, `is_stage_raw` nur für komplette JSON-Outputs.
+
+### 2. Beschreibungen vervollständigen (placeholder_resolver.py)
+
+**Fehlende Beschreibungen prüfen:**
+```python
+# In get_placeholder_catalog()
+PLACEHOLDER_CATALOG = {
+    'PROFIL': [
+        {'key': 'name', 'description': 'Name des Nutzers', 'example': '...'},
+        {'key': 'age', 'description': 'Alter in Jahren', 'example': '35'},
+        # ... alle prüfen
+    ],
+    'KÖRPER': [
+        {'key': 'weight_aktuell', 'description': 'Aktuelles Gewicht', 'example': '85.2kg'},
+        {'key': 'bmi', 'description': 'Body-Mass-Index (berechnet)', 'example': '26.9'},
+        # ... alle prüfen
+    ],
+    # ... alle Kategorien durchgehen
+}
+```
+
+**Aktionen:**
+- Alle 32 Platzhalter durchgehen
+- Fehlende Beschreibungen ergänzen
+- Beschreibungen aus Kontext ableiten (z.B. bei extrahierten Werten aus Stage-Output)
+
+### 3. Extrahierte Werte beschreiben (prompts.py)
+
+**Aktuell (Line 896-901):**
+```python
+metadata['placeholders'][field_key] = {
+    'value': field_data['value'],
+    'description': f"Aus Stage {field_data['source_stage']} ({field_data['source_output']})",
+    'is_extracted': True,
+    'category': category
+}
+```
+
+**Verbesserung:**
+- Wenn Base-Prompt ein JSON-Schema hat, Feld-Beschreibungen aus Schema extrahieren
+- Fallback: Generische Beschreibung aus Kontext
+
+**Beispiel:**
+```python
+# Wenn output_schema verfügbar:
+schema = base_prompt.get('output_schema', {})
+properties = schema.get('properties', {})
+field_description = properties.get(field_key, {}).get('description', '')
+
+metadata['placeholders'][field_key] = {
+    'value': field_data['value'],
+    'description': field_description or f"Aus Stage {stage_num} ({output_name})",
+    'is_extracted': True,
+    'category': category
+}
+```
+
+## Akzeptanzkriterien
+
+- [ ] Normal-Modus zeigt nur Einzelwerte (regulär + extrahiert ↳)
+- [ ] Experten-Modus zeigt zusätzlich Stage-Rohdaten (🔬 JSON)
+- [ ] Alle 32 Platzhalter haben sinnvolle Beschreibungen
+- [ ] Extrahierte Werte nutzen Schema-Beschreibungen (wenn vorhanden)
+- [ ] Toggle "Experten-Modus" funktioniert korrekt
+- [ ] Kategorien bleiben sauber getrennt
+- [ ] Leere Werte werden im Normal-Modus ausgeblendet
+
+## Abschätzung
+
+**Aufwand:** 4-6 Stunden
+- 1h: Filterlogik testen/anpassen
+- 2-3h: Beschreibungen vervollständigen (32 Platzhalter)
+- 1h: Schema-basierte Beschreibungen für extrahierte Werte
+- 1h: Testing + Feintuning
+
+**Priorität:** Medium (verbessert UX erheblich, aber keine kritische Funktionalität)
+
+## Notizen
+
+- Issue #47 hat die Grundlage geschaffen (Kategorien, Expert-Mode, Stage-Outputs)
+- Diese Optimierung macht die Wertetabelle produktionsreif
+- Beschreibungen sind wichtig für KI-Kontext UND User-Verständnis
+- ggf. später: Beschreibungen editierbar machen (Admin-UI)

find-container.sh

@@ -0,0 +1,13 @@
+#!/bin/bash
+# Find correct container name
+
+echo "Suche Backend-Container..."
+echo ""
+
+# List all running containers
+echo "Alle laufenden Container:"
+docker ps --format "{{.Names}}" | grep -i backend
+
+echo ""
+echo "Oder alle Container (auch gestoppte):"
+docker ps -a --format "{{.Names}}" | grep -i backend

frontend/src/App.jsx

@@ -30,6 +30,7 @@ import AdminUserRestrictionsPage from './pages/AdminUserRestrictionsPage'
 import AdminTrainingTypesPage from './pages/AdminTrainingTypesPage'
 import AdminActivityMappingsPage from './pages/AdminActivityMappingsPage'
 import AdminTrainingProfiles from './pages/AdminTrainingProfiles'
+import AdminPromptsPage from './pages/AdminPromptsPage'
 import SubscriptionPage from './pages/SubscriptionPage'
 import SleepPage from './pages/SleepPage'
 import RestDaysPage from './pages/RestDaysPage'
@@ -184,6 +185,7 @@ function AppShell() {
           <Route path="/admin/training-types" element={<AdminTrainingTypesPage/>}/>
           <Route path="/admin/activity-mappings" element={<AdminActivityMappingsPage/>}/>
           <Route path="/admin/training-profiles" element={<AdminTrainingProfiles/>}/>
+          <Route path="/admin/prompts" element={<AdminPromptsPage/>}/>
           <Route path="/subscription" element={<SubscriptionPage/>}/>
         </Routes>
       </main>

frontend/src/components/PlaceholderPicker.jsx

@@ -0,0 +1,255 @@
+import { useState, useEffect } from 'react'
+import { api } from '../utils/api'
+import { Search, X } from 'lucide-react'
+
+/**
+ * Placeholder Picker with grouped categories and search
+ *
+ * Loads placeholders dynamically from backend catalog.
+ * Grouped by category (Profil, Körper, Ernährung, Training, etc.)
+ */
+export default function PlaceholderPicker({ onSelect, onClose }) {
+  const [catalog, setCatalog] = useState({})
+  const [search, setSearch] = useState('')
+  const [loading, setLoading] = useState(true)
+  const [expandedCategories, setExpandedCategories] = useState(new Set())
+
+  useEffect(() => {
+    loadCatalog()
+  }, [])
+
+  const loadCatalog = async () => {
+    try {
+      setLoading(true)
+      const data = await api.listPlaceholders()
+      setCatalog(data)
+      // Expand all categories by default
+      setExpandedCategories(new Set(Object.keys(data)))
+    } catch (e) {
+      console.error('Failed to load placeholders:', e)
+    } finally {
+      setLoading(false)
+    }
+  }
+
+  const toggleCategory = (category) => {
+    const newExpanded = new Set(expandedCategories)
+    if (newExpanded.has(category)) {
+      newExpanded.delete(category)
+    } else {
+      newExpanded.add(category)
+    }
+    setExpandedCategories(newExpanded)
+  }
+
+  const handleSelect = (key) => {
+    onSelect(`{{${key}}}`)
+    onClose()
+  }
+
+  // Filter placeholders by search
+  const filteredCatalog = {}
+  const searchLower = search.toLowerCase()
+
+  Object.entries(catalog).forEach(([category, items]) => {
+    const filtered = items.filter(item =>
+      item.key.toLowerCase().includes(searchLower) ||
+      item.description.toLowerCase().includes(searchLower)
+    )
+    if (filtered.length > 0) {
+      filteredCatalog[category] = filtered
+    }
+  })
+
+  return (
+    <div
+      style={{
+        position: 'fixed',
+        inset: 0,
+        background: 'rgba(0,0,0,0.5)',
+        display: 'flex',
+        alignItems: 'center',
+        justifyContent: 'center',
+        zIndex: 2000,
+        padding: 20
+      }}
+      onClick={onClose}
+    >
+      <div
+        onClick={e => e.stopPropagation()}
+        style={{
+          background: 'var(--bg)',
+          borderRadius: 12,
+          maxWidth: 800,
+          width: '100%',
+          maxHeight: '80vh',
+          display: 'flex',
+          flexDirection: 'column',
+          overflow: 'hidden'
+        }}
+      >
+        {/* Header */}
+        <div style={{
+          padding: 20,
+          borderBottom: '1px solid var(--border)',
+          display: 'flex',
+          justifyContent: 'space-between',
+          alignItems: 'center'
+        }}>
+          <h3 style={{ margin: 0, fontSize: 18, fontWeight: 600 }}>
+            Platzhalter auswählen
+          </h3>
+          <button
+            onClick={onClose}
+            style={{ background: 'none', border: 'none', cursor: 'pointer', padding: 4 }}
+          >
+            <X size={24} color="var(--text3)" />
+          </button>
+        </div>
+
+        {/* Search */}
+        <div style={{ padding: '12px 20px', borderBottom: '1px solid var(--border)' }}>
+          <div style={{ position: 'relative' }}>
+            <Search
+              size={16}
+              style={{
+                position: 'absolute',
+                left: 12,
+                top: '50%',
+                transform: 'translateY(-50%)',
+                color: 'var(--text3)'
+              }}
+            />
+            <input
+              type="text"
+              className="form-input"
+              value={search}
+              onChange={e => setSearch(e.target.value)}
+              placeholder="Platzhalter suchen..."
+              style={{
+                width: '100%',
+                paddingLeft: 40,
+                textAlign: 'left'
+              }}
+            />
+          </div>
+        </div>
+
+        {/* Categories */}
+        <div style={{
+          flex: 1,
+          overflow: 'auto',
+          padding: 20
+        }}>
+          {loading ? (
+            <div style={{ textAlign: 'center', padding: 40, color: 'var(--text3)' }}>
+              Lädt Platzhalter...
+            </div>
+          ) : Object.keys(filteredCatalog).length === 0 ? (
+            <div style={{ textAlign: 'center', padding: 40, color: 'var(--text3)' }}>
+              Keine Platzhalter gefunden
+            </div>
+          ) : (
+            Object.entries(filteredCatalog).map(([category, items]) => (
+              <div key={category} style={{ marginBottom: 16 }}>
+                <div
+                  onClick={() => toggleCategory(category)}
+                  style={{
+                    padding: '8px 12px',
+                    background: 'var(--surface)',
+                    borderRadius: 8,
+                    cursor: 'pointer',
+                    display: 'flex',
+                    justifyContent: 'space-between',
+                    alignItems: 'center',
+                    marginBottom: 8
+                  }}
+                >
+                  <h4 style={{ margin: 0, fontSize: 14, fontWeight: 600 }}>
+                    {category} ({items.length})
+                  </h4>
+                  <span style={{ fontSize: 12, color: 'var(--text3)' }}>
+                    {expandedCategories.has(category) ? '▼' : '▶'}
+                  </span>
+                </div>
+
+                {expandedCategories.has(category) && (
+                  <div style={{ display: 'grid', gap: 6, paddingLeft: 12 }}>
+                    {items.map(item => (
+                      <div
+                        key={item.key}
+                        onClick={() => handleSelect(item.key)}
+                        style={{
+                          padding: '8px 12px',
+                          background: 'var(--surface2)',
+                          borderRadius: 6,
+                          cursor: 'pointer',
+                          border: '1px solid transparent',
+                          transition: 'all 0.2s'
+                        }}
+                        onMouseEnter={e => {
+                          e.currentTarget.style.borderColor = 'var(--accent)'
+                          e.currentTarget.style.background = 'var(--surface)'
+                        }}
+                        onMouseLeave={e => {
+                          e.currentTarget.style.borderColor = 'transparent'
+                          e.currentTarget.style.background = 'var(--surface2)'
+                        }}
+                      >
+                        <div>
+                          <div>
+                            <code style={{
+                              fontSize: 12,
+                              fontWeight: 600,
+                              color: 'var(--accent)',
+                              fontFamily: 'monospace'
+                            }}>
+                              {`{{${item.key}}}`}
+                            </code>
+                            <div style={{
+                              fontSize: 11,
+                              color: 'var(--text2)',
+                              marginTop: 2
+                            }}>
+                              {item.description}
+                            </div>
+                          </div>
+                          {item.example && (
+                            <div style={{
+                              fontSize: 11,
+                              color: 'var(--text3)',
+                              fontFamily: 'monospace',
+                              padding: '4px 8px',
+                              background: 'var(--bg)',
+                              borderRadius: 4,
+                              marginTop: 6,
+                              wordBreak: 'break-word'
+                            }}>
+                              <span style={{ fontSize: 9, opacity: 0.7, marginRight: 4 }}>Beispiel:</span>
+                              {item.example}
+                            </div>
+                          )}
+                        </div>
+                      </div>
+                    ))}
+                  </div>
+                )}
+              </div>
+            ))
+          )}
+        </div>
+
+        {/* Footer */}
+        <div style={{
+          padding: 16,
+          borderTop: '1px solid var(--border)',
+          textAlign: 'center',
+          fontSize: 11,
+          color: 'var(--text3)'
+        }}>
+          Klicke auf einen Platzhalter zum Einfügen
+        </div>
+      </div>
+    </div>
+  )
+}

frontend/src/components/PromptGenerator.jsx

@@ -0,0 +1,190 @@
+import { useState } from 'react'
+import { api } from '../utils/api'
+
+export default function PromptGenerator({ onGenerated, onClose }) {
+  const [goal, setGoal] = useState('')
+  const [dataCategories, setDataCategories] = useState(['körper', 'ernährung'])
+  const [exampleOutput, setExampleOutput] = useState('')
+  const [exampleData, setExampleData] = useState(null)
+  const [generating, setGenerating] = useState(false)
+  const [loadingExample, setLoadingExample] = useState(false)
+
+  const categories = [
+    { id: 'körper', label: 'Körper (Gewicht, KF, Umfänge)' },
+    { id: 'ernährung', label: 'Ernährung (Kalorien, Makros)' },
+    { id: 'training', label: 'Training (Volumen, Typen)' },
+    { id: 'schlaf', label: 'Schlaf (Dauer, Qualität)' },
+    { id: 'vitalwerte', label: 'Vitalwerte (RHR, HRV, VO2max)' },
+    { id: 'ziele', label: 'Ziele (Fortschritt, Prognose)' }
+  ]
+
+  const handleToggleCategory = (catId) => {
+    if (dataCategories.includes(catId)) {
+      setDataCategories(dataCategories.filter(c => c !== catId))
+    } else {
+      setDataCategories([...dataCategories, catId])
+    }
+  }
+
+  const handleShowExampleData = async () => {
+    try {
+      setLoadingExample(true)
+      const placeholders = await api.listPlaceholders()
+      setExampleData(placeholders)
+    } catch (e) {
+      alert('Fehler: ' + e.message)
+    } finally {
+      setLoadingExample(false)
+    }
+  }
+
+  const handleGenerate = async () => {
+    if (!goal.trim()) {
+      alert('Bitte Ziel beschreiben')
+      return
+    }
+    if (dataCategories.length === 0) {
+      alert('Bitte mindestens einen Datenbereich wählen')
+      return
+    }
+
+    try {
+      setGenerating(true)
+      const result = await api.generatePrompt({
+        goal,
+        data_categories: dataCategories,
+        example_output: exampleOutput || null
+      })
+      onGenerated(result)
+    } catch (e) {
+      alert('Fehler beim Generieren: ' + e.message)
+    } finally {
+      setGenerating(false)
+    }
+  }
+
+  return (
+    <div style={{
+      position:'fixed', inset:0, background:'rgba(0,0,0,0.6)',
+      display:'flex', alignItems:'center', justifyContent:'center',
+      zIndex:1001, padding:20
+    }}>
+      <div style={{
+        background:'var(--bg)', borderRadius:12, maxWidth:700, width:'100%',
+        maxHeight:'90vh', overflow:'auto', padding:24
+      }}>
+        <h2 style={{margin:'0 0 24px 0', fontSize:18, fontWeight:600}}>
+          🤖 KI-Prompt generieren
+        </h2>
+
+        {/* Step 1: Goal */}
+        <div style={{marginBottom:24}}>
+          <label className="form-label" style={{display:'block', marginBottom:6}}>
+            1️⃣ Was möchtest du analysieren?
+          </label>
+          <textarea
+            className="form-input"
+            value={goal}
+            onChange={e => setGoal(e.target.value)}
+            rows={3}
+            placeholder="Beispiel: Ich möchte wissen ob meine Proteinzufuhr ausreichend ist für Muskelaufbau und wie ich sie optimieren kann."
+            style={{width:'100%', textAlign:'left', resize:'vertical'}}
+          />
+        </div>
+
+        {/* Step 2: Data Categories */}
+        <div style={{marginBottom:24}}>
+          <label className="form-label">
+            2️⃣ Welche Daten sollen analysiert werden?
+          </label>
+          <div style={{display:'grid', gridTemplateColumns:'1fr 1fr', gap:8}}>
+            {categories.map(cat => (
+              <label
+                key={cat.id}
+                style={{
+                  display:'flex', alignItems:'center', gap:8,
+                  padding:8, background:'var(--surface)', borderRadius:6,
+                  cursor:'pointer', fontSize:13
+                }}
+              >
+                <input
+                  type="checkbox"
+                  checked={dataCategories.includes(cat.id)}
+                  onChange={() => handleToggleCategory(cat.id)}
+                />
+                {cat.label}
+              </label>
+            ))}
+          </div>
+
+          <button
+            onClick={handleShowExampleData}
+            disabled={loadingExample}
+            style={{
+              marginTop:12, fontSize:12, padding:'6px 12px',
+              background:'var(--surface2)', border:'1px solid var(--border)',
+              borderRadius:6, cursor:'pointer'
+            }}
+          >
+            {loadingExample ? 'Lädt...' : '📊 Beispieldaten anzeigen'}
+          </button>
+        </div>
+
+        {/* Example Data */}
+        {exampleData && (
+          <div style={{
+            marginBottom:24, padding:12, background:'var(--surface2)',
+            borderRadius:8, fontSize:11, fontFamily:'monospace',
+            maxHeight:200, overflow:'auto'
+          }}>
+            <strong style={{fontFamily:'var(--font)'}}>Deine aktuellen Daten:</strong>
+            <pre style={{marginTop:8, whiteSpace:'pre-wrap'}}>
+              {JSON.stringify(exampleData, null, 2)}
+            </pre>
+          </div>
+        )}
+
+        {/* Step 3: Desired Format */}
+        <div style={{marginBottom:24}}>
+          <label className="form-label" style={{display:'block', marginBottom:6}}>
+            3️⃣ Gewünschtes Antwort-Format (optional)
+          </label>
+          <textarea
+            className="form-input"
+            value={exampleOutput}
+            onChange={e => setExampleOutput(e.target.value)}
+            rows={4}
+            placeholder={'Beispiel:\n## Analyse\n[Bewertung]\n\n## Empfehlungen\n- Punkt 1\n- Punkt 2'}
+            style={{width:'100%', textAlign:'left', fontFamily:'monospace', fontSize:12, resize:'vertical'}}
+          />
+        </div>
+
+        {/* Info Box */}
+        <div style={{
+          marginBottom:24, padding:12, background:'var(--surface)',
+          border:'1px solid var(--border)', borderRadius:8, fontSize:12,
+          color:'var(--text3)'
+        }}>
+          <strong style={{color:'var(--text2)'}}>💡 Tipp:</strong> Je präziser deine Zielbeschreibung,
+          desto besser der generierte Prompt. Die KI wählt automatisch passende Platzhalter
+          und strukturiert die Analyse optimal.
+        </div>
+
+        {/* Actions */}
+        <div style={{display:'flex', gap:12}}>
+          <button
+            className="btn btn-primary"
+            onClick={handleGenerate}
+            disabled={generating || !goal.trim() || dataCategories.length === 0}
+            style={{flex:1}}
+          >
+            {generating ? '⏳ Generiere...' : '🚀 Prompt generieren'}
+          </button>
+          <button className="btn" onClick={onClose}>
+            Abbrechen
+          </button>
+        </div>
+      </div>
+    </div>
+  )
+}

frontend/src/components/UnifiedPromptModal.jsx

@@ -0,0 +1,872 @@
+import { useState, useEffect, useRef } from 'react'
+import { api } from '../utils/api'
+import { X, Plus, Trash2, MoveUp, MoveDown, Code } from 'lucide-react'
+import PlaceholderPicker from './PlaceholderPicker'
+
+/**
+ * Unified Prompt Editor Modal (Issue #28 Phase 3)
+ *
+ * Supports both prompt types:
+ * - Base: Single reusable template
+ * - Pipeline: Multi-stage workflow with dynamic stages
+ */
+export default function UnifiedPromptModal({ prompt, onSave, onClose }) {
+  const [name, setName] = useState('')
+  const [slug, setSlug] = useState('')
+  const [displayName, setDisplayName] = useState('')
+  const [description, setDescription] = useState('')
+  const [type, setType] = useState('pipeline') // 'base' or 'pipeline'
+  const [category, setCategory] = useState('ganzheitlich')
+  const [active, setActive] = useState(true)
+  const [sortOrder, setSortOrder] = useState(0)
+
+  // Base prompt fields
+  const [template, setTemplate] = useState('')
+  const [outputFormat, setOutputFormat] = useState('text')
+
+  // Pipeline prompt fields
+  const [stages, setStages] = useState([
+    {
+      stage: 1,
+      prompts: []
+    }
+  ])
+
+  // Available prompts for reference selection
+  const [availablePrompts, setAvailablePrompts] = useState([])
+
+  const [loading, setLoading] = useState(false)
+  const [error, setError] = useState(null)
+  const [showPlaceholderPicker, setShowPlaceholderPicker] = useState(false)
+  const [pickerTarget, setPickerTarget] = useState(null) // 'base' or {stage, promptIdx}
+  const [cursorPosition, setCursorPosition] = useState(null) // Track cursor position for insertion
+  const baseTemplateRef = useRef(null)
+  const stageTemplateRefs = useRef({}) // Map of stage_promptIdx -> ref
+
+  // Test functionality
+  const [testing, setTesting] = useState(false)
+  const [testResult, setTestResult] = useState(null)
+  const [showDebug, setShowDebug] = useState(false)
+
+  useEffect(() => {
+    loadAvailablePrompts()
+
+    if (prompt) {
+      // Edit mode
+      setName(prompt.name || '')
+      setSlug(prompt.slug || '')
+      setDisplayName(prompt.display_name || '')
+      setDescription(prompt.description || '')
+      setType(prompt.type || 'pipeline')
+      setCategory(prompt.category || 'ganzheitlich')
+      setActive(prompt.active ?? true)
+      setSortOrder(prompt.sort_order || 0)
+      setTemplate(prompt.template || '')
+      setOutputFormat(prompt.output_format || 'text')
+
+      // Parse stages if editing pipeline
+      if (prompt.type === 'pipeline' && prompt.stages) {
+        try {
+          const parsedStages = typeof prompt.stages === 'string'
+            ? JSON.parse(prompt.stages)
+            : prompt.stages
+          setStages(parsedStages.length > 0 ? parsedStages : [{ stage: 1, prompts: [] }])
+        } catch (e) {
+          console.error('Failed to parse stages:', e)
+          setStages([{ stage: 1, prompts: [] }])
+        }
+      }
+    }
+  }, [prompt])
+
+  const loadAvailablePrompts = async () => {
+    try {
+      const prompts = await api.listAdminPrompts()
+      setAvailablePrompts(prompts)
+    } catch (e) {
+      setError('Fehler beim Laden der Prompts: ' + e.message)
+    }
+  }
+
+  const addStage = () => {
+    const nextStageNum = Math.max(...stages.map(s => s.stage), 0) + 1
+    setStages([...stages, { stage: nextStageNum, prompts: [] }])
+  }
+
+  const removeStage = (stageNum) => {
+    if (stages.length === 1) {
+      setError('Mindestens eine Stage erforderlich')
+      return
+    }
+    setStages(stages.filter(s => s.stage !== stageNum))
+  }
+
+  const moveStage = (stageNum, direction) => {
+    const idx = stages.findIndex(s => s.stage === stageNum)
+    if (idx === -1) return
+
+    const newStages = [...stages]
+    if (direction === 'up' && idx > 0) {
+      [newStages[idx], newStages[idx - 1]] = [newStages[idx - 1], newStages[idx]]
+    } else if (direction === 'down' && idx < newStages.length - 1) {
+      [newStages[idx], newStages[idx + 1]] = [newStages[idx + 1], newStages[idx]]
+    }
+
+    // Renumber stages
+    newStages.forEach((s, i) => s.stage = i + 1)
+    setStages(newStages)
+  }
+
+  const addPromptToStage = (stageNum) => {
+    setStages(stages.map(s => {
+      if (s.stage === stageNum) {
+        return {
+          ...s,
+          prompts: [...s.prompts, {
+            source: 'inline',
+            template: '',
+            output_key: `output_${Date.now()}`,
+            output_format: 'text'
+          }]
+        }
+      }
+      return s
+    }))
+  }
+
+  const removePromptFromStage = (stageNum, promptIdx) => {
+    setStages(stages.map(s => {
+      if (s.stage === stageNum) {
+        return {
+          ...s,
+          prompts: s.prompts.filter((_, i) => i !== promptIdx)
+        }
+      }
+      return s
+    }))
+  }
+
+  const updateStagePrompt = (stageNum, promptIdx, field, value) => {
+    setStages(stages.map(s => {
+      if (s.stage === stageNum) {
+        const newPrompts = [...s.prompts]
+        newPrompts[promptIdx] = { ...newPrompts[promptIdx], [field]: value }
+        return { ...s, prompts: newPrompts }
+      }
+      return s
+    }))
+  }
+
+  const handleSave = async () => {
+    // Validation
+    if (!name.trim() || !slug.trim()) {
+      setError('Name und Slug sind Pflichtfelder')
+      return
+    }
+
+    if (type === 'base' && !template.trim()) {
+      setError('Basis-Prompts benötigen ein Template')
+      return
+    }
+
+    if (type === 'pipeline' && stages.length === 0) {
+      setError('Pipeline-Prompts benötigen mindestens eine Stage')
+      return
+    }
+
+    if (type === 'pipeline') {
+      // Validate all stages have at least one prompt
+      const emptyStages = stages.filter(s => s.prompts.length === 0)
+      if (emptyStages.length > 0) {
+        setError(`Stage ${emptyStages[0].stage} hat keine Prompts`)
+        return
+      }
+
+      // Validate all prompts have required fields
+      for (const stage of stages) {
+        for (const p of stage.prompts) {
+          if (!p.output_key) {
+            setError(`Stage ${stage.stage}: Output-Key fehlt`)
+            return
+          }
+          if (p.source === 'inline' && !p.template) {
+            setError(`Stage ${stage.stage}: Inline-Prompt ohne Template`)
+            return
+          }
+          if (p.source === 'reference' && !p.slug) {
+            setError(`Stage ${stage.stage}: Referenz-Prompt ohne Slug`)
+            return
+          }
+        }
+      }
+    }
+
+    setLoading(true)
+    setError(null)
+
+    try {
+      const data = {
+        name,
+        slug,
+        display_name: displayName,
+        description,
+        type,
+        category,
+        active,
+        sort_order: sortOrder,
+        output_format: outputFormat
+      }
+
+      if (type === 'base') {
+        data.template = template
+        data.stages = null
+      } else {
+        data.template = null
+        data.stages = stages
+      }
+
+      if (prompt?.id) {
+        await api.updateUnifiedPrompt(prompt.id, data)
+      } else {
+        await api.createUnifiedPrompt(data)
+      }
+
+      onSave()
+    } catch (e) {
+      setError(e.message)
+    } finally {
+      setLoading(false)
+    }
+  }
+
+  const handleExport = () => {
+    // Export complete prompt configuration as JSON
+    const exportData = {
+      name,
+      slug,
+      display_name: displayName,
+      description,
+      type,
+      category,
+      active,
+      sort_order: sortOrder,
+      output_format: outputFormat,
+      template: type === 'base' ? template : null,
+      stages: type === 'pipeline' ? stages : null
+    }
+
+    const blob = new Blob([JSON.stringify(exportData, null, 2)], { type: 'application/json' })
+    const url = URL.createObjectURL(blob)
+    const a = document.createElement('a')
+    a.href = url
+    a.download = `prompt-${slug || 'new'}-${new Date().toISOString().split('T')[0]}.json`
+    document.body.appendChild(a)
+    a.click()
+    document.body.removeChild(a)
+    URL.revokeObjectURL(url)
+  }
+
+  const handleTest = async () => {
+    // Can only test existing prompts (need slug in database)
+    if (!prompt?.slug) {
+      setError('Bitte erst speichern, dann testen')
+      return
+    }
+
+    setTesting(true)
+    setError(null)
+    setTestResult(null)
+
+    try {
+      const result = await api.executeUnifiedPrompt(prompt.slug, null, null, true)
+      setTestResult(result)
+      setShowDebug(true)
+    } catch (e) {
+      // Show error AND try to extract debug info from error
+      const errorMsg = e.message
+      let debugData = null
+
+      // Try to parse error message for embedded debug info
+      try {
+        const parsed = JSON.parse(errorMsg)
+        if (parsed.detail) {
+          setError('Test-Fehler: ' + parsed.detail)
+          debugData = parsed
+        } else {
+          setError('Test-Fehler: ' + errorMsg)
+        }
+      } catch {
+        setError('Test-Fehler: ' + errorMsg)
+      }
+
+      // Set result with error info so debug viewer shows it
+      setTestResult({
+        error: true,
+        error_message: errorMsg,
+        debug: debugData || { error: errorMsg }
+      })
+      setShowDebug(true) // ALWAYS show debug on test, even on error
+    } finally {
+      setTesting(false)
+    }
+  }
+
+  const handleExportPlaceholders = () => {
+    if (!testResult) return
+
+    // Extract all placeholder data from test result
+    const debug = testResult.debug || testResult
+    const exportData = {
+      export_date: new Date().toISOString(),
+      prompt_slug: prompt?.slug || 'unknown',
+      prompt_name: name || 'Unnamed Prompt',
+      placeholders: {}
+    }
+
+    // For pipeline prompts, collect from all stages
+    if (debug.stages && Array.isArray(debug.stages)) {
+      debug.stages.forEach(stage => {
+        exportData.placeholders[`stage_${stage.stage}`] = {
+          available_variables: stage.available_variables || [],
+          prompts: stage.prompts?.map(p => ({
+            source: p.source,
+            resolved: p.resolved_placeholders || p.ref_debug?.resolved_placeholders || {},
+            unresolved: p.unresolved_placeholders || p.ref_debug?.unresolved_placeholders || []
+          })) || []
+        }
+      })
+    }
+
+    // For base prompts or direct execution
+    if (debug.resolved_placeholders) {
+      exportData.placeholders.resolved = debug.resolved_placeholders
+    }
+    if (debug.unresolved_placeholders) {
+      exportData.placeholders.unresolved = debug.unresolved_placeholders
+    }
+    if (debug.available_variables) {
+      exportData.available_variables = debug.available_variables
+    }
+    if (debug.initial_variables) {
+      exportData.initial_variables = debug.initial_variables
+    }
+
+    // Download as JSON
+    const blob = new Blob([JSON.stringify(exportData, null, 2)], { type: 'application/json' })
+    const url = URL.createObjectURL(blob)
+    const a = document.createElement('a')
+    a.href = url
+    a.download = `placeholders-${prompt?.slug || 'test'}-${new Date().toISOString().split('T')[0]}.json`
+    document.body.appendChild(a)
+    a.click()
+    document.body.removeChild(a)
+    URL.revokeObjectURL(url)
+  }
+
+  return (
+    <div style={{
+      position: 'fixed', inset: 0, background: 'rgba(0,0,0,0.5)',
+      display: 'flex', alignItems: 'center', justifyContent: 'center',
+      zIndex: 1000, padding: 20, overflow: 'auto'
+    }}>
+      <div style={{
+        background: 'var(--bg)', borderRadius: 12, maxWidth: 1000, width: '100%',
+        maxHeight: '90vh', overflow: 'auto', padding: 24
+      }}>
+        <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: 24 }}>
+          <h2 style={{ margin: 0, fontSize: 20, fontWeight: 600 }}>
+            {prompt ? 'Prompt bearbeiten' : 'Neuer Prompt'}
+          </h2>
+          <button
+            onClick={onClose}
+            style={{ background: 'none', border: 'none', cursor: 'pointer', padding: 4 }}
+          >
+            <X size={24} color="var(--text3)" />
+          </button>
+        </div>
+
+        {error && (
+          <div style={{
+            padding: 12, background: '#fee', color: '#c00', borderRadius: 8, marginBottom: 16, fontSize: 13
+          }}>
+            {error}
+          </div>
+        )}
+
+        {/* Basic Info */}
+        <div style={{ display: 'grid', gap: 16, marginBottom: 24 }}>
+          <div style={{ display: 'grid', gridTemplateColumns: '1fr 1fr', gap: 12 }}>
+            <div>
+              <label className="form-label">Name *</label>
+              <input
+                className="form-input"
+                value={name}
+                onChange={e => setName(e.target.value)}
+                placeholder="Interner Name"
+                style={{ width: '100%', textAlign: 'left' }}
+              />
+            </div>
+
+            <div>
+              <label className="form-label">Slug *</label>
+              <input
+                className="form-input"
+                value={slug}
+                onChange={e => setSlug(e.target.value)}
+                placeholder="technischer_name"
+                style={{ width: '100%', textAlign: 'left' }}
+                disabled={!!prompt}
+              />
+            </div>
+          </div>
+
+          <div>
+            <label className="form-label">Anzeigename</label>
+            <input
+              className="form-input"
+              value={displayName}
+              onChange={e => setDisplayName(e.target.value)}
+              placeholder="Name für Benutzer (optional)"
+              style={{ width: '100%', textAlign: 'left' }}
+            />
+          </div>
+
+          <div>
+            <label className="form-label">Beschreibung</label>
+            <textarea
+              className="form-input"
+              value={description}
+              onChange={e => setDescription(e.target.value)}
+              rows={2}
+              placeholder="Kurze Beschreibung des Prompts"
+              style={{ width: '100%', textAlign: 'left', resize: 'vertical' }}
+            />
+          </div>
+
+          <div style={{ display: 'grid', gridTemplateColumns: '1fr 1fr 1fr', gap: 12 }}>
+            <div>
+              <label className="form-label">Typ *</label>
+              <select
+                className="form-select"
+                value={type}
+                onChange={e => setType(e.target.value)}
+                style={{ width: '100%' }}
+                disabled={!!prompt}
+              >
+                <option value="base">Basis-Prompt</option>
+                <option value="pipeline">Pipeline</option>
+              </select>
+            </div>
+
+            <div>
+              <label className="form-label">Kategorie</label>
+              <select
+                className="form-select"
+                value={category}
+                onChange={e => setCategory(e.target.value)}
+                style={{ width: '100%' }}
+              >
+                <option value="ganzheitlich">Ganzheitlich</option>
+                <option value="körper">Körper</option>
+                <option value="ernährung">Ernährung</option>
+                <option value="training">Training</option>
+                <option value="schlaf">Schlaf</option>
+                <option value="pipeline">Pipeline</option>
+              </select>
+            </div>
+
+            <div>
+              <label className="form-label">Output-Format</label>
+              <select
+                className="form-select"
+                value={outputFormat}
+                onChange={e => setOutputFormat(e.target.value)}
+                style={{ width: '100%' }}
+              >
+                <option value="text">Text</option>
+                <option value="json">JSON</option>
+              </select>
+            </div>
+          </div>
+
+          <div style={{ display: 'flex', gap: 16, alignItems: 'center' }}>
+            <label style={{ display: 'flex', alignItems: 'center', gap: 6, cursor: 'pointer' }}>
+              <input
+                type="checkbox"
+                checked={active}
+                onChange={e => setActive(e.target.checked)}
+              />
+              <span style={{ fontSize: 13 }}>Aktiv</span>
+            </label>
+
+            <div style={{ display: 'flex', alignItems: 'center', gap: 6 }}>
+              <label className="form-label" style={{ margin: 0 }}>Sortierung:</label>
+              <input
+                type="number"
+                className="form-input"
+                value={sortOrder}
+                onChange={e => setSortOrder(parseInt(e.target.value) || 0)}
+                style={{ width: 80, padding: '4px 8px' }}
+              />
+            </div>
+          </div>
+        </div>
+
+        {/* Type-specific editor */}
+        {type === 'base' && (
+          <div style={{ marginBottom: 24 }}>
+            <h3 style={{ fontSize: 16, fontWeight: 600, marginBottom: 12 }}>Template</h3>
+            <textarea
+              ref={baseTemplateRef}
+              className="form-input"
+              value={template}
+              onChange={e => setTemplate(e.target.value)}
+              onClick={e => setCursorPosition(e.target.selectionStart)}
+              onKeyUp={e => setCursorPosition(e.target.selectionStart)}
+              rows={12}
+              placeholder="Prompt-Template mit {{placeholders}}..."
+              style={{ width: '100%', textAlign: 'left', resize: 'vertical', fontFamily: 'monospace', fontSize: 12 }}
+            />
+            <div style={{ fontSize: 11, color: 'var(--text3)', marginTop: 4 }}>
+              <button
+                className="btn"
+                onClick={() => {
+                  setPickerTarget('base')
+                  setShowPlaceholderPicker(true)
+                }}
+                style={{
+                  fontSize: 12,
+                  padding: '6px 12px',
+                  display: 'flex',
+                  alignItems: 'center',
+                  gap: 6
+                }}
+              >
+                <Code size={14} />
+                Platzhalter einfügen
+              </button>
+            </div>
+          </div>
+        )}
+
+        {type === 'pipeline' && (
+          <div style={{ marginBottom: 24 }}>
+            <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: 12 }}>
+              <h3 style={{ fontSize: 16, fontWeight: 600, margin: 0 }}>Stages ({stages.length})</h3>
+              <button className="btn" onClick={addStage} style={{ display: 'flex', alignItems: 'center', gap: 6 }}>
+                <Plus size={16} /> Stage hinzufügen
+              </button>
+            </div>
+
+            {stages.map((stage, sIdx) => (
+              <div key={stage.stage} style={{
+                background: 'var(--surface)', padding: 16, borderRadius: 8,
+                border: '1px solid var(--border)', marginBottom: 12
+              }}>
+                <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: 12 }}>
+                  <h4 style={{ margin: 0, fontSize: 14, fontWeight: 600 }}>Stage {stage.stage}</h4>
+                  <div style={{ display: 'flex', gap: 4 }}>
+                    {sIdx > 0 && (
+                      <button
+                        className="btn"
+                        onClick={() => moveStage(stage.stage, 'up')}
+                        style={{ padding: '4px 8px' }}
+                      >
+                        <MoveUp size={14} />
+                      </button>
+                    )}
+                    {sIdx < stages.length - 1 && (
+                      <button
+                        className="btn"
+                        onClick={() => moveStage(stage.stage, 'down')}
+                        style={{ padding: '4px 8px' }}
+                      >
+                        <MoveDown size={14} />
+                      </button>
+                    )}
+                    <button
+                      className="btn"
+                      onClick={() => removeStage(stage.stage)}
+                      style={{ padding: '4px 8px', color: 'var(--danger)' }}
+                      disabled={stages.length === 1}
+                    >
+                      <Trash2 size={14} />
+                    </button>
+                  </div>
+                </div>
+
+                {/* Prompts in this stage */}
+                {stage.prompts.map((p, pIdx) => (
+                  <div key={pIdx} style={{
+                    background: 'var(--bg)', padding: 12, borderRadius: 6, marginBottom: 8,
+                    border: '1px solid var(--border)'
+                  }}>
+                    <div style={{ display: 'grid', gap: 8 }}>
+                      <div style={{ display: 'grid', gridTemplateColumns: '120px 1fr 120px auto', gap: 8, alignItems: 'center' }}>
+                        <select
+                          className="form-select"
+                          value={p.source || 'inline'}
+                          onChange={e => updateStagePrompt(stage.stage, pIdx, 'source', e.target.value)}
+                          style={{ fontSize: 12 }}
+                        >
+                          <option value="inline">Inline</option>
+                          <option value="reference">Referenz</option>
+                        </select>
+
+                        <input
+                          className="form-input"
+                          value={p.output_key || ''}
+                          onChange={e => updateStagePrompt(stage.stage, pIdx, 'output_key', e.target.value)}
+                          placeholder="output_key"
+                          style={{ fontSize: 12, textAlign: 'left' }}
+                        />
+
+                        <select
+                          className="form-select"
+                          value={p.output_format || 'text'}
+                          onChange={e => updateStagePrompt(stage.stage, pIdx, 'output_format', e.target.value)}
+                          style={{ fontSize: 12 }}
+                        >
+                          <option value="text">Text</option>
+                          <option value="json">JSON</option>
+                        </select>
+
+                        <button
+                          onClick={() => removePromptFromStage(stage.stage, pIdx)}
+                          style={{ background: 'none', border: 'none', cursor: 'pointer', padding: 4 }}
+                        >
+                          <Trash2 size={16} color="var(--danger)" />
+                        </button>
+                      </div>
+
+                      {p.source === 'reference' ? (
+                        <select
+                          className="form-select"
+                          value={p.slug || ''}
+                          onChange={e => updateStagePrompt(stage.stage, pIdx, 'slug', e.target.value)}
+                          style={{ fontSize: 12 }}
+                        >
+                          <option value="">-- Prompt wählen --</option>
+                          {availablePrompts
+                            .filter(ap => ap.type === 'base' || !ap.type)
+                            .map(ap => (
+                              <option key={ap.slug} value={ap.slug}>
+                                {ap.display_name || ap.name} ({ap.slug})
+                              </option>
+                            ))}
+                        </select>
+                      ) : (
+                        <div>
+                          <textarea
+                            ref={el => stageTemplateRefs.current[`${stage.stage}_${pIdx}`] = el}
+                            className="form-input"
+                            value={p.template || ''}
+                            onChange={e => updateStagePrompt(stage.stage, pIdx, 'template', e.target.value)}
+                            onClick={e => {
+                              setCursorPosition(e.target.selectionStart)
+                              setPickerTarget({ stage: stage.stage, promptIdx: pIdx })
+                            }}
+                            onKeyUp={e => {
+                              setCursorPosition(e.target.selectionStart)
+                              setPickerTarget({ stage: stage.stage, promptIdx: pIdx })
+                            }}
+                            rows={3}
+                            placeholder="Inline-Template mit {{placeholders}}..."
+                            style={{ width: '100%', fontSize: 12, textAlign: 'left', resize: 'vertical', fontFamily: 'monospace' }}
+                          />
+                          <div style={{ fontSize: 10, color: 'var(--text3)', marginTop: 4 }}>
+                            <button
+                              className="btn"
+                              onClick={() => {
+                                setPickerTarget({ stage: stage.stage, promptIdx: pIdx })
+                                setShowPlaceholderPicker(true)
+                              }}
+                              style={{
+                                fontSize: 11,
+                                padding: '4px 8px',
+                                display: 'flex',
+                                alignItems: 'center',
+                                gap: 4
+                              }}
+                            >
+                              <Code size={12} />
+                              Platzhalter
+                            </button>
+                          </div>
+                        </div>
+                      )}
+                    </div>
+                  </div>
+                ))}
+
+                <button
+                  className="btn"
+                  onClick={() => addPromptToStage(stage.stage)}
+                  style={{ fontSize: 12, display: 'flex', alignItems: 'center', gap: 4 }}
+                >
+                  <Plus size={14} /> Prompt hinzufügen
+                </button>
+              </div>
+            ))}
+          </div>
+        )}
+
+        {/* Debug Output */}
+        {showDebug && testResult && (
+          <div style={{
+            marginTop: 16,
+            padding: 16,
+            background: 'var(--surface2)',
+            borderRadius: 8,
+            border: '1px solid var(--border)'
+          }}>
+            <div style={{
+              display: 'flex',
+              justifyContent: 'space-between',
+              alignItems: 'center',
+              marginBottom: 12
+            }}>
+              <h3 style={{ margin: 0, fontSize: 14, fontWeight: 600 }}>
+                🔬 Debug-Info
+              </h3>
+              <div style={{ display: 'flex', gap: 8, alignItems: 'center' }}>
+                <button
+                  className="btn"
+                  onClick={handleExportPlaceholders}
+                  style={{
+                    padding: '4px 8px',
+                    fontSize: 11,
+                    background: 'var(--accent)',
+                    color: 'white'
+                  }}
+                  title="Exportiere alle Platzhalter mit Werten als JSON"
+                >
+                  📋 Platzhalter exportieren
+                </button>
+                <button
+                  onClick={() => setShowDebug(false)}
+                  style={{ background: 'none', border: 'none', cursor: 'pointer', padding: 4 }}
+                >
+                  <X size={16} color="var(--text3)" />
+                </button>
+              </div>
+            </div>
+            <pre style={{
+              fontSize: 11,
+              fontFamily: 'monospace',
+              background: 'var(--bg)',
+              padding: 12,
+              borderRadius: 6,
+              overflow: 'auto',
+              maxHeight: 400,
+              lineHeight: 1.5,
+              color: 'var(--text2)'
+            }}>
+              {JSON.stringify(testResult.debug || testResult, null, 2)}
+            </pre>
+          </div>
+        )}
+
+        {/* Actions */}
+        <div style={{
+          display: 'flex', gap: 12, justifyContent: 'space-between',
+          paddingTop: 16, borderTop: '1px solid var(--border)'
+        }}>
+          <div style={{ display: 'flex', gap: 8 }}>
+            <button
+              className="btn"
+              onClick={handleTest}
+              disabled={testing || loading}
+              style={{
+                background: testing ? 'var(--surface)' : 'var(--accent)',
+                color: testing ? 'var(--text3)' : 'white'
+              }}
+              title={!prompt?.slug ? 'Bitte erst speichern, dann testen' : 'Test mit Debug-Modus ausführen'}
+            >
+              {testing ? '🔬 Teste...' : '🔬 Test ausführen'}
+            </button>
+            <button
+              className="btn"
+              onClick={handleExport}
+              disabled={loading}
+              title="Exportiere Prompt-Konfiguration als JSON"
+            >
+              📥 Export
+            </button>
+          </div>
+          <div style={{ display: 'flex', gap: 12 }}>
+            <button className="btn" onClick={onClose}>
+              Abbrechen
+            </button>
+            <button
+              className="btn btn-primary"
+              onClick={handleSave}
+              disabled={loading}
+            >
+              {loading ? 'Speichern...' : 'Speichern'}
+            </button>
+          </div>
+        </div>
+      </div>
+
+      {/* Placeholder Picker */}
+      {showPlaceholderPicker && (
+        <PlaceholderPicker
+          onSelect={(placeholder) => {
+            if (pickerTarget === 'base') {
+              // Insert into base template at cursor position
+              const pos = cursorPosition ?? template.length
+              const newTemplate = template.slice(0, pos) + placeholder + template.slice(pos)
+              setTemplate(newTemplate)
+
+              // Restore focus and cursor position after insertion
+              setTimeout(() => {
+                if (baseTemplateRef.current) {
+                  baseTemplateRef.current.focus()
+                  const newPos = pos + placeholder.length
+                  baseTemplateRef.current.setSelectionRange(newPos, newPos)
+                  setCursorPosition(newPos)
+                }
+              }, 0)
+            } else if (pickerTarget && typeof pickerTarget === 'object') {
+              // Insert into pipeline stage template at cursor position
+              const { stage: stageNum, promptIdx } = pickerTarget
+              setStages(stages.map(s => {
+                if (s.stage === stageNum) {
+                  const newPrompts = [...s.prompts]
+                  const currentTemplate = newPrompts[promptIdx].template || ''
+                  const pos = cursorPosition ?? currentTemplate.length
+                  const newTemplate = currentTemplate.slice(0, pos) + placeholder + currentTemplate.slice(pos)
+
+                  newPrompts[promptIdx] = {
+                    ...newPrompts[promptIdx],
+                    template: newTemplate
+                  }
+
+                  // Restore focus and cursor position
+                  setTimeout(() => {
+                    const refKey = `${stageNum}_${promptIdx}`
+                    const textarea = stageTemplateRefs.current[refKey]
+                    if (textarea) {
+                      textarea.focus()
+                      const newPos = pos + placeholder.length
+                      textarea.setSelectionRange(newPos, newPos)
+                      setCursorPosition(newPos)
+                    }
+                  }, 0)
+
+                  return { ...s, prompts: newPrompts }
+                }
+                return s
+              }))
+            }
+          }}
+          onClose={() => {
+            setShowPlaceholderPicker(false)
+            setPickerTarget(null)
+          }}
+        />
+      )}
+    </div>
+  )
+}

frontend/src/pages/AdminPanel.jsx

@@ -451,6 +451,23 @@ export default function AdminPanel() {
           </Link>
         </div>
       </div>
+
+      {/* KI-Prompts Section */}
+      <div className="card">
+        <div style={{fontWeight:700,fontSize:14,marginBottom:12,display:'flex',alignItems:'center',gap:6}}>
+          <Settings size={16} color="var(--accent)"/> KI-Prompts (v9f)
+        </div>
+        <div style={{fontSize:12,color:'var(--text3)',marginBottom:12,lineHeight:1.5}}>
+          Verwalte AI-Prompts mit KI-Unterstützung: Generiere, optimiere und organisiere Prompts.
+        </div>
+        <div style={{display:'grid',gap:8}}>
+          <Link to="/admin/prompts">
+            <button className="btn btn-secondary btn-full">
+              🤖 KI-Prompts verwalten
+            </button>
+          </Link>
+        </div>
+      </div>
     </div>
   )
 }

frontend/src/pages/AdminPromptsPage.jsx

@@ -0,0 +1,588 @@
+import { useState, useEffect } from 'react'
+import { api } from '../utils/api'
+import UnifiedPromptModal from '../components/UnifiedPromptModal'
+import { Star, Trash2, Edit, Copy, Filter, ArrowDownToLine } from 'lucide-react'
+
+/**
+ * Admin Prompts Page - Unified System (Issue #28 Phase 3)
+ *
+ * Manages both base and pipeline-type prompts in one interface.
+ */
+export default function AdminPromptsPage() {
+  const [prompts, setPrompts] = useState([])
+  const [filteredPrompts, setFilteredPrompts] = useState([])
+  const [typeFilter, setTypeFilter] = useState('all') // 'all' | 'base' | 'pipeline'
+  const [category, setCategory] = useState('all')
+  const [loading, setLoading] = useState(true)
+  const [error, setError] = useState(null)
+  const [editingPrompt, setEditingPrompt] = useState(null)
+  const [showNewPrompt, setShowNewPrompt] = useState(false)
+  const [importing, setImporting] = useState(false)
+  const [importResult, setImportResult] = useState(null)
+
+  const categories = [
+    { id: 'all', label: 'Alle Kategorien' },
+    { id: 'körper', label: 'Körper' },
+    { id: 'ernährung', label: 'Ernährung' },
+    { id: 'training', label: 'Training' },
+    { id: 'schlaf', label: 'Schlaf' },
+    { id: 'vitalwerte', label: 'Vitalwerte' },
+    { id: 'ziele', label: 'Ziele' },
+    { id: 'ganzheitlich', label: 'Ganzheitlich' },
+    { id: 'pipeline', label: 'Pipeline' }
+  ]
+
+  useEffect(() => {
+    loadPrompts()
+  }, [])
+
+  useEffect(() => {
+    let filtered = prompts
+
+    // Filter by type
+    if (typeFilter === 'base') {
+      filtered = filtered.filter(p => p.type === 'base')
+    } else if (typeFilter === 'pipeline') {
+      filtered = filtered.filter(p => p.type === 'pipeline')
+    }
+
+    // Filter by category
+    if (category !== 'all') {
+      filtered = filtered.filter(p => p.category === category)
+    }
+
+    setFilteredPrompts(filtered)
+  }, [typeFilter, category, prompts])
+
+  const loadPrompts = async () => {
+    try {
+      setLoading(true)
+      const data = await api.listAdminPrompts()
+      setPrompts(data)
+      setError(null)
+    } catch (e) {
+      setError(e.message)
+    } finally {
+      setLoading(false)
+    }
+  }
+
+  const handleToggleActive = async (prompt) => {
+    try {
+      await api.updateUnifiedPrompt(prompt.id, { active: !prompt.active })
+      await loadPrompts()
+    } catch (e) {
+      alert('Fehler: ' + e.message)
+    }
+  }
+
+  const handleDelete = async (prompt) => {
+    if (!confirm(`Prompt "${prompt.name}" wirklich löschen?`)) return
+
+    try {
+      await api.deletePrompt(prompt.id)
+      await loadPrompts()
+    } catch (e) {
+      alert('Fehler: ' + e.message)
+    }
+  }
+
+  const handleDuplicate = async (prompt) => {
+    try {
+      await api.duplicatePrompt(prompt.id)
+      await loadPrompts()
+    } catch (e) {
+      alert('Fehler: ' + e.message)
+    }
+  }
+
+  const handleConvertToBase = async (prompt) => {
+    // Convert a 1-stage pipeline to a base prompt
+    if (prompt.type !== 'pipeline') {
+      alert('Nur Pipeline-Prompts können konvertiert werden')
+      return
+    }
+
+    const stages = typeof prompt.stages === 'string'
+      ? JSON.parse(prompt.stages)
+      : prompt.stages
+
+    if (!stages || stages.length !== 1) {
+      alert('Nur 1-stage Pipeline-Prompts können zu Basis-Prompts konvertiert werden')
+      return
+    }
+
+    const stage1 = stages[0]
+    if (!stage1.prompts || stage1.prompts.length !== 1) {
+      alert('Stage muss genau einen Prompt haben')
+      return
+    }
+
+    const firstPrompt = stage1.prompts[0]
+    if (firstPrompt.source !== 'inline' || !firstPrompt.template) {
+      alert('Nur inline Templates können konvertiert werden')
+      return
+    }
+
+    if (!confirm(`"${prompt.name}" zu Basis-Prompt konvertieren?`)) return
+
+    try {
+      await api.updateUnifiedPrompt(prompt.id, {
+        type: 'base',
+        template: firstPrompt.template,
+        output_format: firstPrompt.output_format || 'text',
+        stages: null
+      })
+      await loadPrompts()
+    } catch (e) {
+      alert('Fehler: ' + e.message)
+    }
+  }
+
+  const handleSave = async () => {
+    setEditingPrompt(null)
+    setShowNewPrompt(false)
+    await loadPrompts()
+  }
+
+  const getStageCount = (prompt) => {
+    if (prompt.type !== 'pipeline' || !prompt.stages) return 0
+    try {
+      const stages = typeof prompt.stages === 'string'
+        ? JSON.parse(prompt.stages)
+        : prompt.stages
+      return stages.length
+    } catch (e) {
+      return 0
+    }
+  }
+
+  const getTypeLabel = (type) => {
+    if (type === 'base') return 'Basis'
+    if (type === 'pipeline') return 'Pipeline'
+    return type || 'Pipeline' // Default for old prompts
+  }
+
+  const getTypeColor = (type) => {
+    if (type === 'base') return 'var(--accent)'
+    if (type === 'pipeline') return '#6366f1'
+    return 'var(--text3)'
+  }
+
+  const handleExportAll = async () => {
+    try {
+      const data = await api.exportAllPrompts()
+      const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' })
+      const url = URL.createObjectURL(blob)
+      const a = document.createElement('a')
+      a.href = url
+      a.download = `all-prompts-${new Date().toISOString().split('T')[0]}.json`
+      document.body.appendChild(a)
+      a.click()
+      document.body.removeChild(a)
+      URL.revokeObjectURL(url)
+    } catch (e) {
+      setError('Export-Fehler: ' + e.message)
+    }
+  }
+
+  const handleImport = async (event) => {
+    const file = event.target.files[0]
+    if (!file) return
+
+    setImporting(true)
+    setError(null)
+    setImportResult(null)
+
+    try {
+      const text = await file.text()
+      const data = JSON.parse(text)
+
+      // Ask user about overwrite
+      const overwrite = confirm(
+        'Bestehende Prompts überschreiben?\n\n' +
+        'JA = Existierende Prompts aktualisieren\n' +
+        'NEIN = Nur neue Prompts erstellen, Duplikate überspringen'
+      )
+
+      const result = await api.importPrompts(data, overwrite)
+      setImportResult(result)
+      await loadPrompts()
+    } catch (e) {
+      setError('Import-Fehler: ' + e.message)
+    } finally {
+      setImporting(false)
+      event.target.value = '' // Reset file input
+    }
+  }
+
+  return (
+    <div style={{
+      padding: 20,
+      maxWidth: 1400,
+      margin: '0 auto',
+      paddingBottom: 80
+    }}>
+      <div style={{
+        display: 'flex',
+        justifyContent: 'space-between',
+        alignItems: 'center',
+        marginBottom: 24
+      }}>
+        <h1 style={{ margin: 0, fontSize: 24, fontWeight: 600 }}>
+          KI-Prompts ({filteredPrompts.length})
+        </h1>
+        <div style={{ display: 'flex', gap: 8 }}>
+          <button
+            className="btn"
+            onClick={handleExportAll}
+            title="Alle Prompts als JSON exportieren (Backup / Dev→Prod Sync)"
+          >
+            📦 Alle exportieren
+          </button>
+          <label className="btn" style={{ margin: 0, cursor: 'pointer' }}>
+            📥 Importieren
+            <input
+              type="file"
+              accept=".json"
+              onChange={handleImport}
+              disabled={importing}
+              style={{ display: 'none' }}
+            />
+          </label>
+          <button
+            className="btn btn-primary"
+            onClick={() => setShowNewPrompt(true)}
+          >
+            + Neuer Prompt
+          </button>
+        </div>
+      </div>
+
+      {error && (
+        <div style={{
+          padding: 16,
+          background: '#fee',
+          color: '#c00',
+          borderRadius: 8,
+          marginBottom: 16
+        }}>
+          {error}
+        </div>
+      )}
+
+      {importResult && (
+        <div style={{
+          padding: 16,
+          background: '#efe',
+          color: '#060',
+          borderRadius: 8,
+          marginBottom: 16
+        }}>
+          <div style={{ fontWeight: 600, marginBottom: 4 }}>
+            ✅ Import erfolgreich
+          </div>
+          <div style={{ fontSize: 13 }}>
+            {importResult.created} erstellt · {importResult.updated} aktualisiert · {importResult.skipped} übersprungen
+          </div>
+          <button
+            onClick={() => setImportResult(null)}
+            style={{ marginTop: 8, fontSize: 12, padding: '4px 8px' }}
+            className="btn"
+          >
+            OK
+          </button>
+        </div>
+      )}
+
+      {/* Filters */}
+      <div style={{
+        display: 'flex',
+        gap: 12,
+        marginBottom: 24,
+        flexWrap: 'wrap',
+        alignItems: 'center'
+      }}>
+        <div style={{ display: 'flex', alignItems: 'center', gap: 6 }}>
+          <Filter size={16} color="var(--text3)" />
+          <span style={{ fontSize: 13, color: 'var(--text3)' }}>Typ:</span>
+        </div>
+        <div style={{ display: 'flex', gap: 6 }}>
+          <button
+            className={typeFilter === 'all' ? 'btn btn-primary' : 'btn'}
+            onClick={() => setTypeFilter('all')}
+            style={{ fontSize: 13, padding: '6px 12px' }}
+          >
+            Alle ({prompts.length})
+          </button>
+          <button
+            className={typeFilter === 'base' ? 'btn btn-primary' : 'btn'}
+            onClick={() => setTypeFilter('base')}
+            style={{ fontSize: 13, padding: '6px 12px' }}
+          >
+            Basis-Prompts ({prompts.filter(p => p.type === 'base').length})
+          </button>
+          <button
+            className={typeFilter === 'pipeline' ? 'btn btn-primary' : 'btn'}
+            onClick={() => setTypeFilter('pipeline')}
+            style={{ fontSize: 13, padding: '6px 12px' }}
+          >
+            Pipelines ({prompts.filter(p => p.type === 'pipeline' || !p.type).length})
+          </button>
+        </div>
+
+        <div style={{
+          width: 1,
+          height: 24,
+          background: 'var(--border)',
+          margin: '0 8px'
+        }} />
+
+        <select
+          className="form-select"
+          value={category}
+          onChange={e => setCategory(e.target.value)}
+          style={{ fontSize: 13, padding: '6px 12px' }}
+        >
+          {categories.map(cat => (
+            <option key={cat.id} value={cat.id}>
+              {cat.label}
+            </option>
+          ))}
+        </select>
+      </div>
+
+      {/* Prompts Table */}
+      {loading ? (
+        <div style={{ textAlign: 'center', padding: 40, color: 'var(--text3)' }}>
+          Lädt...
+        </div>
+      ) : (
+        <div style={{
+          background: 'var(--surface)',
+          borderRadius: 12,
+          border: '1px solid var(--border)',
+          overflowX: 'auto'
+        }}>
+          <table style={{ width: '100%', minWidth: 900, borderCollapse: 'collapse' }}>
+            <thead>
+              <tr style={{
+                background: 'var(--surface2)',
+                borderBottom: '1px solid var(--border)'
+              }}>
+                <th style={{
+                  padding: 12,
+                  textAlign: 'left',
+                  fontSize: 12,
+                  fontWeight: 600,
+                  color: 'var(--text3)',
+                  width: 80
+                }}>
+                  Typ
+                </th>
+                <th style={{
+                  padding: 12,
+                  textAlign: 'left',
+                  fontSize: 12,
+                  fontWeight: 600,
+                  color: 'var(--text3)'
+                }}>
+                  Name
+                </th>
+                <th style={{
+                  padding: 12,
+                  textAlign: 'left',
+                  fontSize: 12,
+                  fontWeight: 600,
+                  color: 'var(--text3)',
+                  width: 120
+                }}>
+                  Kategorie
+                </th>
+                <th style={{
+                  padding: 12,
+                  textAlign: 'center',
+                  fontSize: 12,
+                  fontWeight: 600,
+                  color: 'var(--text3)',
+                  width: 100
+                }}>
+                  Stages
+                </th>
+                <th style={{
+                  padding: 12,
+                  textAlign: 'center',
+                  fontSize: 12,
+                  fontWeight: 600,
+                  color: 'var(--text3)',
+                  width: 80
+                }}>
+                  Status
+                </th>
+                <th style={{
+                  padding: 12,
+                  textAlign: 'right',
+                  fontSize: 12,
+                  fontWeight: 600,
+                  color: 'var(--text3)',
+                  width: 120
+                }}>
+                  Aktionen
+                </th>
+              </tr>
+            </thead>
+            <tbody>
+              {filteredPrompts.length === 0 ? (
+                <tr>
+                  <td colSpan="6" style={{
+                    padding: 40,
+                    textAlign: 'center',
+                    color: 'var(--text3)'
+                  }}>
+                    Keine Prompts gefunden
+                  </td>
+                </tr>
+              ) : (
+                filteredPrompts.map(prompt => (
+                  <tr
+                    key={prompt.id}
+                    style={{
+                      borderBottom: '1px solid var(--border)',
+                      opacity: prompt.active ? 1 : 0.5
+                    }}
+                  >
+                    <td style={{ padding: 12 }}>
+                      <div style={{
+                        display: 'inline-block',
+                        padding: '2px 8px',
+                        background: getTypeColor(prompt.type) + '20',
+                        color: getTypeColor(prompt.type),
+                        borderRadius: 6,
+                        fontSize: 11,
+                        fontWeight: 600
+                      }}>
+                        {getTypeLabel(prompt.type)}
+                      </div>
+                    </td>
+                    <td style={{ padding: 12 }}>
+                      <div>
+                        <div style={{ fontSize: 14, fontWeight: 500 }}>
+                          {prompt.display_name || prompt.name}
+                        </div>
+                        <div style={{ fontSize: 11, color: 'var(--text3)', marginTop: 2 }}>
+                          {prompt.slug}
+                        </div>
+                      </div>
+                    </td>
+                    <td style={{ padding: 12, fontSize: 13 }}>
+                      {prompt.category || 'ganzheitlich'}
+                    </td>
+                    <td style={{ padding: 12, textAlign: 'center', fontSize: 13 }}>
+                      {prompt.type === 'pipeline' ? (
+                        <span style={{
+                          background: 'var(--surface2)',
+                          padding: '2px 6px',
+                          borderRadius: 4,
+                          fontSize: 11
+                        }}>
+                          {getStageCount(prompt)} Stages
+                        </span>
+                      ) : (
+                        <span style={{ color: 'var(--text3)', fontSize: 11 }}>—</span>
+                      )}
+                    </td>
+                    <td style={{ padding: 12, textAlign: 'center' }}>
+                      <label style={{
+                        display: 'inline-flex',
+                        alignItems: 'center',
+                        cursor: 'pointer'
+                      }}>
+                        <input
+                          type="checkbox"
+                          checked={prompt.active}
+                          onChange={() => handleToggleActive(prompt)}
+                          style={{ margin: 0 }}
+                        />
+                      </label>
+                    </td>
+                    <td style={{ padding: 12 }}>
+                      <div style={{
+                        display: 'flex',
+                        gap: 6,
+                        justifyContent: 'flex-end'
+                      }}>
+                        <button
+                          onClick={() => setEditingPrompt(prompt)}
+                          style={{
+                            background: 'none',
+                            border: 'none',
+                            cursor: 'pointer',
+                            padding: 4
+                          }}
+                          title="Bearbeiten"
+                        >
+                          <Edit size={16} color="var(--accent)" />
+                        </button>
+                        {/* Show convert button for 1-stage pipelines */}
+                        {prompt.type === 'pipeline' && getStageCount(prompt) === 1 && (
+                          <button
+                            onClick={() => handleConvertToBase(prompt)}
+                            style={{
+                              background: 'none',
+                              border: 'none',
+                              cursor: 'pointer',
+                              padding: 4
+                            }}
+                            title="Zu Basis-Prompt konvertieren"
+                          >
+                            <ArrowDownToLine size={16} color="#6366f1" />
+                          </button>
+                        )}
+                        <button
+                          onClick={() => handleDuplicate(prompt)}
+                          style={{
+                            background: 'none',
+                            border: 'none',
+                            cursor: 'pointer',
+                            padding: 4
+                          }}
+                          title="Duplizieren"
+                        >
+                          <Copy size={16} color="var(--text3)" />
+                        </button>
+                        <button
+                          onClick={() => handleDelete(prompt)}
+                          style={{
+                            background: 'none',
+                            border: 'none',
+                            cursor: 'pointer',
+                            padding: 4
+                          }}
+                          title="Löschen"
+                        >
+                          <Trash2 size={16} color="var(--danger)" />
+                        </button>
+                      </div>
+                    </td>
+                  </tr>
+                ))
+              )}
+            </tbody>
+          </table>
+        </div>
+      )}
+
+      {/* Unified Prompt Modal */}
+      {(editingPrompt || showNewPrompt) && (
+        <UnifiedPromptModal
+          prompt={editingPrompt}
+          onSave={handleSave}
+          onClose={() => {
+            setEditingPrompt(null)
+            setShowNewPrompt(false)
+          }}
+        />
+      )}
+    </div>
+  )
+}

frontend/src/pages/Analysis.jsx

@@ -1,5 +1,5 @@
-import { useState, useEffect } from 'react'
+import React, { useState, useEffect } from 'react'
-import { Brain, Pencil, Trash2, ChevronDown, ChevronUp, Check, X } from 'lucide-react'
+import { Brain, Trash2, ChevronDown, ChevronUp } from 'lucide-react'
 import { api } from '../utils/api'
 import { useAuth } from '../context/AuthContext'
 import Markdown from '../utils/Markdown'
@@ -8,30 +8,83 @@ import dayjs from 'dayjs'
 import 'dayjs/locale/de'
 dayjs.locale('de')
 
+// Legacy fallback labels (display_name takes precedence)
 const SLUG_LABELS = {
-  gesamt:             '🔍 Gesamtanalyse',
+  pipeline: '🔬 Mehrstufige Gesamtanalyse'
-  koerper:            '🫧 Körperkomposition',
-  ernaehrung:         '🍽️ Ernährung',
-  aktivitaet:         '🏋️ Aktivität',
-  gesundheit:         '❤️ Gesundheitsindikatoren',
-  ziele:              '🎯 Zielfortschritt',
-  pipeline:           '🔬 Mehrstufige Gesamtanalyse',
-  pipeline_body:      '🔬 Pipeline: Körper-Analyse (JSON)',
-  pipeline_nutrition: '🔬 Pipeline: Ernährungs-Analyse (JSON)',
-  pipeline_activity:  '🔬 Pipeline: Aktivitäts-Analyse (JSON)',
-  pipeline_synthesis: '🔬 Pipeline: Synthese',
-  pipeline_goals:     '🔬 Pipeline: Zielabgleich',
 }
 
-function InsightCard({ ins, onDelete, defaultOpen=false }) {
+function InsightCard({ ins, onDelete, defaultOpen=false, prompts=[] }) {
   const [open, setOpen] = useState(defaultOpen)
+
+  // Parse metadata early to determine showOnlyValues
+  const metadataRaw = ins.metadata ? (typeof ins.metadata === 'string' ? JSON.parse(ins.metadata) : ins.metadata) : null
+  const isBasePrompt = metadataRaw?.prompt_type === 'base'
+  const isJsonOutput = ins.content && (ins.content.trim().startsWith('{') || ins.content.trim().startsWith('['))
+  const placeholdersRaw = metadataRaw?.placeholders || {}
+  const showOnlyValues = isBasePrompt && isJsonOutput && Object.keys(placeholdersRaw).length > 0
+
+  const [showValues, setShowValues] = useState(showOnlyValues) // Auto-expand for base prompts with JSON
+  const [expertMode, setExpertMode] = useState(false) // Show empty/technical placeholders
+
+  // Find matching prompt to get display_name
+  const prompt = prompts.find(p => p.slug === ins.scope)
+  const displayName = prompt?.display_name || SLUG_LABELS[ins.scope] || ins.scope
+
+  // Use already-parsed metadata
+  const metadata = metadataRaw
+  const allPlaceholders = placeholdersRaw
+
+  // Filter placeholders: In normal mode, hide empty values and raw stage outputs
+  const placeholders = expertMode
+    ? allPlaceholders
+    : Object.fromEntries(
+        Object.entries(allPlaceholders).filter(([key, data]) => {
+          // Hide raw stage outputs (JSON) in normal mode
+          if (data.is_stage_raw) return false
+
+          // Hide empty values
+          const val = data.value || ''
+          return val.trim() !== '' && val !== 'nicht verfügbar' && val !== '[Nicht verfügbar]'
+        })
+      )
+
+  const placeholderCount = Object.keys(placeholders).length
+  const hiddenCount = Object.keys(allPlaceholders).length - placeholderCount
+
+  // Group placeholders by category
+  const groupedPlaceholders = Object.entries(placeholders).reduce((acc, [key, data]) => {
+    const category = data.category || 'Sonstiges'
+    if (!acc[category]) acc[category] = []
+    acc[category].push([key, data])
+    return acc
+  }, {})
+
+  // Sort categories: Regular categories first, then Stage outputs, then Rohdaten
+  const sortedCategories = Object.keys(groupedPlaceholders).sort((a, b) => {
+    const aIsStage = a.startsWith('Stage')
+    const bIsStage = b.startsWith('Stage')
+    const aIsRohdaten = a.includes('Rohdaten')
+    const bIsRohdaten = b.includes('Rohdaten')
+
+    // Rohdaten last
+    if (aIsRohdaten && !bIsRohdaten) return 1
+    if (!aIsRohdaten && bIsRohdaten) return -1
+
+    // Stage outputs after regular categories
+    if (!aIsStage && bIsStage) return -1
+    if (aIsStage && !bIsStage) return 1
+
+    // Otherwise alphabetical
+    return a.localeCompare(b)
+  })
+
   return (
     <div className="card section-gap" style={{borderLeft:`3px solid var(--accent)`}}>
       <div style={{display:'flex',alignItems:'center',gap:8,marginBottom:open?12:0,cursor:'pointer'}}
         onClick={()=>setOpen(o=>!o)}>
         <div style={{flex:1}}>
           <div style={{fontSize:13,fontWeight:600}}>
-            {SLUG_LABELS[ins.scope] || ins.scope}
+            {displayName}
           </div>
           <div style={{fontSize:11,color:'var(--text3)'}}>
             {dayjs(ins.created).format('DD. MMMM YYYY, HH:mm')}
@@ -43,83 +96,194 @@ function InsightCard({ ins, onDelete, defaultOpen=false }) {
         </button>
         {open ? <ChevronUp size={16} color="var(--text3)"/> : <ChevronDown size={16} color="var(--text3)"/>}
       </div>
-      {open && <Markdown text={ins.content}/>}
+      {open && (
+        <>
+          {/* For base prompts with JSON: Only show value table */}
+          {showOnlyValues && (
+            <div style={{ padding: '12px 16px', background: 'var(--surface)', borderRadius: 8, marginBottom: 12 }}>
+              <div style={{ fontSize: 11, color: 'var(--text3)', marginBottom: 8 }}>
+                ℹ️ Basis-Prompt Rohdaten (JSON-Struktur für technische Nutzung)
+              </div>
+              <details style={{ fontSize: 11, color: 'var(--text3)' }}>
+                <summary style={{ cursor: 'pointer' }}>Technische Daten anzeigen</summary>
+                <pre style={{
+                  marginTop: 8,
+                  padding: 8,
+                  background: 'var(--bg)',
+                  borderRadius: 4,
+                  overflow: 'auto',
+                  fontSize: 10,
+                  fontFamily: 'monospace'
+                }}>
+                  {ins.content}
+                </pre>
+              </details>
+            </div>
+          )}
+
+          {/* For other prompts: Show full content */}
+          {!showOnlyValues && <Markdown text={ins.content}/>}
+
+          {/* Value Table */}
+          {placeholderCount > 0 && (
+            <div style={{ marginTop: 16, borderTop: '1px solid var(--border)', paddingTop: 12 }}>
+              <div style={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between' }}>
+                <div
+                  onClick={() => setShowValues(!showValues)}
+                  style={{
+                    cursor: 'pointer',
+                    fontSize: 12,
+                    color: 'var(--text2)',
+                    fontWeight: 600,
+                    display: 'flex',
+                    alignItems: 'center',
+                    gap: 6
+                  }}
+                >
+                  {showValues ? <ChevronUp size={14} /> : <ChevronDown size={14} />}
+                  📊 Verwendete Werte ({placeholderCount})
+                  {hiddenCount > 0 && !expertMode && (
+                    <span style={{ fontSize: 10, color: 'var(--text3)', fontWeight: 400 }}>
+                      (+{hiddenCount} ausgeblendet)
+                    </span>
+                  )}
+                </div>
+
+                {showValues && Object.keys(allPlaceholders).length > 0 && (
+                  <button
+                    onClick={(e) => {
+                      e.stopPropagation()
+                      setExpertMode(!expertMode)
+                    }}
+                    className="btn"
+                    style={{
+                      fontSize: 10,
+                      padding: '4px 8px',
+                      background: expertMode ? 'var(--accent)' : 'var(--surface)',
+                      color: expertMode ? 'white' : 'var(--text2)'
+                    }}
+                  >
+                    🔬 Experten-Modus
+                  </button>
+                )}
+              </div>
+
+              {showValues && (
+                <div style={{ marginTop: 12, fontSize: 11 }}>
+                  <table style={{ width: '100%', borderCollapse: 'collapse' }}>
+                    <thead>
+                      <tr style={{ borderBottom: '1px solid var(--border)', textAlign: 'left' }}>
+                        <th style={{ padding: '6px 8px', color: 'var(--text3)', fontWeight: 600 }}>Platzhalter</th>
+                        <th style={{ padding: '6px 8px', color: 'var(--text3)', fontWeight: 600 }}>Wert</th>
+                        <th style={{ padding: '6px 8px', color: 'var(--text3)', fontWeight: 600 }}>Beschreibung</th>
+                      </tr>
+                    </thead>
+                    <tbody>
+                      {sortedCategories.map(category => (
+                        <React.Fragment key={category}>
+                          {/* Category Header */}
+                          <tr style={{ background: 'var(--surface2)', borderTop: '2px solid var(--border)' }}>
+                            <td colSpan="3" style={{
+                              padding: '8px',
+                              fontWeight: 600,
+                              fontSize: 11,
+                              color: 'var(--text2)',
+                              letterSpacing: '0.5px'
+                            }}>
+                              {category}
+                            </td>
+                          </tr>
+                          {/* Category Values */}
+                          {groupedPlaceholders[category].map(([key, data]) => {
+                        const isExtracted = data.is_extracted
+                        const isStageRaw = data.is_stage_raw
+
+                        return (
+                          <tr key={key} style={{
+                            borderBottom: '1px solid var(--border)',
+                            background: isStageRaw && expertMode ? 'var(--surface)' : 'transparent'
+                          }}>
+                            <td style={{
+                              padding: '6px 8px',
+                              fontFamily: 'monospace',
+                              color: isStageRaw ? 'var(--text3)' : (isExtracted ? '#6B8E23' : 'var(--accent)'),
+                              whiteSpace: 'nowrap',
+                              verticalAlign: 'top',
+                              fontSize: isStageRaw ? 10 : 11
+                            }}>
+                              {isExtracted && '↳ '}
+                              {isStageRaw && '🔬 '}
+                              {key}
+                            </td>
+                            <td style={{
+                              padding: '6px 8px',
+                              fontFamily: 'monospace',
+                              wordBreak: 'break-word',
+                              maxWidth: '400px',
+                              verticalAlign: 'top',
+                              fontSize: isStageRaw ? 9 : 11,
+                              color: isStageRaw ? 'var(--text3)' : 'var(--text1)'
+                            }}>
+                              {isStageRaw ? (
+                                <details style={{ cursor: 'pointer' }}>
+                                  <summary style={{
+                                    fontWeight: 600,
+                                    color: 'var(--accent)',
+                                    fontSize: 10,
+                                    marginBottom: '4px'
+                                  }}>
+                                    JSON anzeigen ▼
+                                  </summary>
+                                  <pre style={{
+                                    background: 'var(--surface2)',
+                                    padding: '8px',
+                                    borderRadius: '4px',
+                                    fontSize: 9,
+                                    overflow: 'auto',
+                                    maxHeight: '300px',
+                                    margin: 0
+                                  }}>
+                                    {data.value}
+                                  </pre>
+                                </details>
+                              ) : data.value}
+                            </td>
+                            <td style={{
+                              padding: '6px 8px',
+                              color: 'var(--text3)',
+                              fontSize: 10,
+                              verticalAlign: 'top',
+                              fontStyle: isExtracted ? 'italic' : 'normal'
+                            }}>
+                              {data.description || '—'}
+                            </td>
+                          </tr>
+                          )
+                        })}
+                        </React.Fragment>
+                      ))}
+                    </tbody>
+                  </table>
+                </div>
+              )}
+            </div>
+          )}
+        </>
+      )}
     </div>
   )
 }
 
-function PromptEditor({ prompt, onSave, onCancel }) {
-  const [template, setTemplate] = useState(prompt.template)
-  const [name,     setName]     = useState(prompt.name)
-  const [desc,     setDesc]     = useState(prompt.description||'')
-
-  const VARS = ['{{name}}','{{geschlecht}}','{{height}}','{{goal_weight}}','{{goal_bf_pct}}',
-    '{{weight_trend}}','{{weight_aktuell}}','{{kf_aktuell}}','{{caliper_summary}}',
-    '{{circ_summary}}','{{nutrition_summary}}','{{nutrition_detail}}',
-    '{{protein_ziel_low}}','{{protein_ziel_high}}','{{activity_summary}}',
-    '{{activity_kcal_summary}}','{{activity_detail}}',
-    '{{sleep_summary}}','{{sleep_detail}}','{{sleep_avg_duration}}','{{sleep_avg_quality}}',
-    '{{rest_days_summary}}','{{rest_days_count}}','{{rest_days_types}}',
-    '{{vitals_summary}}','{{vitals_detail}}','{{vitals_avg_hr}}','{{vitals_avg_hrv}}',
-    '{{vitals_avg_bp}}','{{vitals_vo2_max}}','{{bp_summary}}']
-
-  return (
-    <div className="card section-gap">
-      <div style={{display:'flex',alignItems:'center',justifyContent:'space-between',marginBottom:12}}>
-        <div className="card-title" style={{margin:0}}>Prompt bearbeiten</div>
-        <button style={{background:'none',border:'none',cursor:'pointer',color:'var(--text3)'}}
-          onClick={onCancel}><X size={16}/></button>
-      </div>
-      <div className="form-row">
-        <label className="form-label">Name</label>
-        <input type="text" className="form-input" value={name} onChange={e=>setName(e.target.value)}/>
-        <span className="form-unit"/>
-      </div>
-      <div className="form-row">
-        <label className="form-label">Beschreibung</label>
-        <input type="text" className="form-input" value={desc} onChange={e=>setDesc(e.target.value)}/>
-        <span className="form-unit"/>
-      </div>
-      <div style={{marginBottom:8}}>
-        <div style={{fontSize:12,fontWeight:600,color:'var(--text3)',marginBottom:6}}>
-          Variablen (antippen zum Einfügen):
-        </div>
-        <div style={{display:'flex',flexWrap:'wrap',gap:4}}>
-          {VARS.map(v=>(
-            <button key={v} onClick={()=>setTemplate(t=>t+v)}
-              style={{fontSize:10,padding:'2px 7px',borderRadius:4,border:'1px solid var(--border2)',
-                background:'var(--surface2)',cursor:'pointer',fontFamily:'monospace',color:'var(--accent)'}}>
-              {v}
-            </button>
-          ))}
-        </div>
-      </div>
-      <textarea value={template} onChange={e=>setTemplate(e.target.value)}
-        style={{width:'100%',minHeight:280,padding:10,fontFamily:'monospace',fontSize:12,
-          background:'var(--surface2)',border:'1.5px solid var(--border2)',borderRadius:8,
-          color:'var(--text1)',resize:'vertical',lineHeight:1.5,boxSizing:'border-box'}}/>
-      <div style={{display:'flex',gap:8,marginTop:8}}>
-        <button className="btn btn-primary" style={{flex:1}}
-          onClick={()=>onSave({name,description:desc,template})}>
-          <Check size={14}/> Speichern
-        </button>
-        <button className="btn btn-secondary" style={{flex:1}} onClick={onCancel}>Abbrechen</button>
-      </div>
-    </div>
-  )
-}
 
 export default function Analysis() {
-  const { canUseAI, isAdmin } = useAuth()
+  const { canUseAI } = useAuth()
   const [prompts,     setPrompts]     = useState([])
   const [allInsights, setAllInsights] = useState([])
   const [loading,     setLoading]     = useState(null)
   const [error,       setError]       = useState(null)
-  const [editing,     setEditing]     = useState(null)
   const [tab,         setTab]         = useState('run')
-  const [newResult,       setNewResult]       = useState(null)
+  const [newResult,   setNewResult]   = useState(null)
-  const [pipelineLoading, setPipelineLoading] = useState(false)
+  const [aiUsage, setAiUsage] = useState(null)
-  const [aiUsage, setAiUsage] = useState(null)  // Phase 3: Usage badge
 
   const loadAll = async () => {
     const [p, i] = await Promise.all([
@@ -139,48 +303,74 @@ export default function Analysis() {
     }).catch(err => console.error('Failed to load usage:', err))
   },[])
 
-  const runPipeline = async () => {
-    setPipelineLoading(true); setError(null); setNewResult(null)
-    try {
-      const result = await api.insightPipeline()
-      setNewResult(result)
-      await loadAll()
-      setTab('run')
-    } catch(e) {
-      setError('Pipeline-Fehler: ' + e.message)
-    } finally { setPipelineLoading(false) }
-  }
-
   const runPrompt = async (slug) => {
     setLoading(slug); setError(null); setNewResult(null)
     try {
-      const result = await api.runInsight(slug)
+      // Use new unified executor with save=true
-      setNewResult(result)   // show immediately
+      const result = await api.executeUnifiedPrompt(slug, null, null, false, true)
-      await loadAll()        // refresh lists
+
-      setTab('run')          // stay on run tab to see result
+      // Transform result to match old format for InsightCard
+      let content = ''
+      if (result.type === 'pipeline') {
+        // For pipeline, extract final output
+        const finalOutput = result.output || {}
+        if (typeof finalOutput === 'object' && Object.keys(finalOutput).length === 1) {
+          content = Object.values(finalOutput)[0]
+        } else {
+          content = JSON.stringify(finalOutput, null, 2)
+        }
+      } else {
+        // For base prompts, use output directly
+        content = typeof result.output === 'string' ? result.output : JSON.stringify(result.output, null, 2)
+      }
+
+      // Build metadata from debug info (same logic as backend)
+      let metadata = null
+      if (result.debug && result.debug.resolved_placeholders) {
+        const placeholders = {}
+        const resolved = result.debug.resolved_placeholders
+
+        // For pipeline, collect from all stages
+        if (result.type === 'pipeline' && result.debug.stages) {
+          for (const stage of result.debug.stages) {
+            for (const promptDebug of (stage.prompts || [])) {
+              const stageResolved = promptDebug.resolved_placeholders || promptDebug.ref_debug?.resolved_placeholders || {}
+              for (const [key, value] of Object.entries(stageResolved)) {
+                if (!placeholders[key]) {
+                  placeholders[key] = { value, description: '' }
+                }
+              }
+            }
+          }
+        } else {
+          // For base prompts
+          for (const [key, value] of Object.entries(resolved)) {
+            placeholders[key] = { value, description: '' }
+          }
+        }
+
+        if (Object.keys(placeholders).length > 0) {
+          metadata = { prompt_type: result.type, placeholders }
+        }
+      }
+
+      setNewResult({ scope: slug, content, metadata })
+      await loadAll()
+      setTab('run')
     } catch(e) {
       setError('Fehler: ' + e.message)
     } finally { setLoading(null) }
   }
 
-  const savePrompt = async (promptId, data) => {
-    const token = localStorage.getItem('bodytrack_token')||''
-    await fetch(`/api/prompts/${promptId}`, {
-      method:'PUT',
-      headers:{'Content-Type':'application/json', 'X-Auth-Token': token},
-      body:JSON.stringify(data)
-    })
-    setEditing(null); await loadAll()
-  }
-
   const deleteInsight = async (id) => {
     if (!confirm('Analyse löschen?')) return
-    const pid = localStorage.getItem('bodytrack_active_profile')||''
+    try {
-    await fetch(`/api/insights/${id}`, {
+      await api.deleteInsight(id)
-      method:'DELETE', headers: pid ? {'X-Profile-Id':pid} : {}
+      if (newResult?.id === id) setNewResult(null)
-    })
+      await loadAll()
-    if (newResult?.id === id) setNewResult(null)
+    } catch (e) {
-    await loadAll()
+      setError('Löschen fehlgeschlagen: ' + e.message)
+    }
   }
 
   // Group insights by scope for history view
@@ -191,11 +381,8 @@ export default function Analysis() {
     grouped[key].push(ins)
   })
 
-  const activePrompts = prompts.filter(p=>p.active && !p.slug.startsWith('pipeline_') && p.slug !== 'pipeline')
+  // Show only active pipeline-type prompts
-
+  const pipelinePrompts = prompts.filter(p => p.active && p.type === 'pipeline')
-  // Pipeline is available if the "pipeline" prompt is active
-  const pipelinePrompt = prompts.find(p=>p.slug==='pipeline')
-  const pipelineAvailable = pipelinePrompt?.active ?? true  // Default to true if not found (backwards compatibility)
 
   return (
     <div>
@@ -208,7 +395,6 @@ export default function Analysis() {
           {allInsights.length>0 && <span style={{marginLeft:4,fontSize:10,background:'var(--accent)',
             color:'white',padding:'1px 5px',borderRadius:8}}>{allInsights.length}</span>}
         </button>
-        {isAdmin && <button className={'tab'+(tab==='prompts'?' active':'')} onClick={()=>setTab('prompts')}>Prompts</button>}
       </div>
 
       {error && (
@@ -235,56 +421,11 @@ export default function Analysis() {
                 ins={{...newResult, created: new Date().toISOString()}}
                 onDelete={deleteInsight}
                 defaultOpen={true}
+                prompts={prompts}
               />
             </div>
           )}
 
-          {/* Pipeline button - only if all sub-prompts are active */}
-          {pipelineAvailable && (
-            <div className="card" style={{marginBottom:16,borderColor:'var(--accent)',borderWidth:2}}>
-              <div style={{display:'flex',alignItems:'flex-start',gap:12}}>
-                <div style={{flex:1}}>
-                  <div className="badge-container-right" style={{fontWeight:700,fontSize:15,color:'var(--accent)'}}>
-                    <span>🔬 Mehrstufige Gesamtanalyse</span>
-                    {aiUsage && <UsageBadge {...aiUsage} />}
-                  </div>
-                  <div style={{fontSize:12,color:'var(--text2)',marginTop:3,lineHeight:1.5}}>
-                    3 spezialisierte KI-Calls parallel (Körper + Ernährung + Aktivität),
-                    dann Synthese + Zielabgleich. Detaillierteste Auswertung.
-                  </div>
-                  {allInsights.find(i=>i.scope==='pipeline') && (
-                    <div style={{fontSize:11,color:'var(--text3)',marginTop:3}}>
-                      Letzte Analyse: {dayjs(allInsights.find(i=>i.scope==='pipeline').created).format('DD.MM.YYYY, HH:mm')}
-                    </div>
-                  )}
-                </div>
-                <div
-                  title={aiUsage && !aiUsage.allowed ? `Limit erreicht (${aiUsage.used}/${aiUsage.limit}). Kontaktiere den Admin oder warte bis zum nächsten Reset.` : ''}
-                  style={{display:'inline-block'}}
-                >
-                  <button
-                    className="btn btn-primary"
-                    style={{flexShrink:0,minWidth:100, cursor: (aiUsage && !aiUsage.allowed) ? 'not-allowed' : 'pointer'}}
-                    onClick={runPipeline}
-                    disabled={!!loading||pipelineLoading||(aiUsage && !aiUsage.allowed)}
-                  >
-                    {pipelineLoading
-                      ? <><div className="spinner" style={{width:13,height:13}}/> Läuft…</>
-                      : (aiUsage && !aiUsage.allowed) ? '🔒 Limit'
-                      : <><Brain size={13}/> Starten</>}
-                  </button>
-                </div>
-                {!canUseAI && <div style={{fontSize:11,color:'#D85A30',marginTop:4}}>🔒 KI nicht freigeschaltet</div>}
-              </div>
-              {pipelineLoading && (
-                <div style={{marginTop:10,padding:'8px 12px',background:'var(--accent-light)',
-                  borderRadius:8,fontSize:12,color:'var(--accent-dark)'}}>
-                  ⚡ Stufe 1: 3 parallele Analyse-Calls… dann Synthese… dann Zielabgleich
-                </div>
-              )}
-            </div>
-          )}
-
           {!canUseAI && (
             <div style={{padding:'14px 16px',background:'#FCEBEB',borderRadius:10,
               border:'1px solid #D85A3033',marginBottom:16}}>
@@ -298,25 +439,31 @@ export default function Analysis() {
               </div>
             </div>
           )}
-          {canUseAI && <p style={{fontSize:13,color:'var(--text2)',marginBottom:14,lineHeight:1.6}}>
-            Oder wähle eine Einzelanalyse:
-          </p>}
 
-          {activePrompts.map(p => {
+          {canUseAI && pipelinePrompts.length > 0 && (
-            // Show latest existing insight for this prompt
+            <p style={{fontSize:13,color:'var(--text2)',marginBottom:14,lineHeight:1.6}}>
+              Wähle eine mehrstufige KI-Analyse:
+            </p>
+          )}
+
+          {pipelinePrompts.map(p => {
             const existing = allInsights.find(i=>i.scope===p.slug)
             return (
-              <div key={p.id} className="card section-gap">
+              <div key={p.id} className="card" style={{marginBottom:16,borderColor:'var(--accent)',borderWidth:2}}>
                 <div style={{display:'flex',alignItems:'flex-start',gap:12}}>
                   <div style={{flex:1}}>
-                    <div className="badge-container-right" style={{fontWeight:600,fontSize:15}}>
+                    <div className="badge-container-right" style={{fontWeight:700,fontSize:15,color:'var(--accent)'}}>
-                      <span>{SLUG_LABELS[p.slug]||p.name}</span>
+                      <span>{p.display_name || SLUG_LABELS[p.slug] || p.name}</span>
                       {aiUsage && <UsageBadge {...aiUsage} />}
                     </div>
-                    {p.description && <div style={{fontSize:12,color:'var(--text3)',marginTop:2}}>{p.description}</div>}
+                    {p.description && (
+                      <div style={{fontSize:12,color:'var(--text2)',marginTop:3,lineHeight:1.5}}>
+                        {p.description}
+                      </div>
+                    )}
                     {existing && (
                       <div style={{fontSize:11,color:'var(--text3)',marginTop:3}}>
-                        Letzte Auswertung: {dayjs(existing.created).format('DD.MM.YYYY, HH:mm')}
+                        Letzte Analyse: {dayjs(existing.created).format('DD.MM.YYYY, HH:mm')}
                       </div>
                     )}
                   </div>
@@ -326,28 +473,34 @@ export default function Analysis() {
                   >
                     <button
                       className="btn btn-primary"
-                      style={{flexShrink:0,minWidth:90, cursor: (aiUsage && !aiUsage.allowed) ? 'not-allowed' : 'pointer'}}
+                      style={{flexShrink:0,minWidth:100, cursor: (aiUsage && !aiUsage.allowed) ? 'not-allowed' : 'pointer'}}
                       onClick={()=>runPrompt(p.slug)}
                       disabled={!!loading||!canUseAI||(aiUsage && !aiUsage.allowed)}
                     >
                       {loading===p.slug
                         ? <><div className="spinner" style={{width:13,height:13}}/> Läuft…</>
                         : (aiUsage && !aiUsage.allowed) ? '🔒 Limit'
-                        : <><Brain size={13}/> {existing?'Neu erstellen':'Starten'}</>}
+                        : <><Brain size={13}/> Starten</>}
                     </button>
                   </div>
                 </div>
                 {/* Show existing result collapsed */}
                 {existing && newResult?.id !== existing.id && (
                   <div style={{marginTop:8,borderTop:'1px solid var(--border)',paddingTop:8}}>
-                    <InsightCard ins={existing} onDelete={deleteInsight} defaultOpen={false}/>
+                    <InsightCard ins={existing} onDelete={deleteInsight} defaultOpen={false} prompts={prompts}/>
                   </div>
                 )}
               </div>
             )
           })}
-          {activePrompts.length===0 && (
+
-            <div className="empty-state"><p>Keine aktiven Prompts. Aktiviere im Tab "Prompts".</p></div>
+          {canUseAI && pipelinePrompts.length === 0 && (
+            <div className="empty-state">
+              <p>Keine aktiven Pipeline-Prompts verfügbar.</p>
+              <p style={{fontSize:12,color:'var(--text3)',marginTop:8}}>
+                Erstelle Pipeline-Prompts im Admin-Bereich (Einstellungen → Admin → KI-Prompts).
+              </p>
+            </div>
           )}
         </div>
       )}
@@ -361,143 +514,14 @@ export default function Analysis() {
               <div key={scope} style={{marginBottom:20}}>
                 <div style={{fontSize:13,fontWeight:700,color:'var(--text3)',
                   textTransform:'uppercase',letterSpacing:'0.05em',marginBottom:8}}>
-                  {SLUG_LABELS[scope]||scope} ({ins.length})
+                  {prompts.find(p => p.slug === scope)?.display_name || SLUG_LABELS[scope] || scope} ({ins.length})
                 </div>
-                {ins.map(i => <InsightCard key={i.id} ins={i} onDelete={deleteInsight}/>)}
+                {ins.map(i => <InsightCard key={i.id} ins={i} onDelete={deleteInsight} prompts={prompts}/>)}
               </div>
             ))
           }
         </div>
       )}
-
-      {/* ── Prompts ── */}
-      {tab==='prompts' && (
-        <div>
-          <p style={{fontSize:13,color:'var(--text2)',marginBottom:14,lineHeight:1.6}}>
-            Passe Prompts an. Variablen wie{' '}
-            <code style={{fontSize:11,background:'var(--surface2)',padding:'1px 4px',borderRadius:3}}>{'{{name}}'}</code>{' '}
-            werden automatisch mit deinen Daten befüllt.
-          </p>
-          {editing ? (
-            <PromptEditor prompt={editing}
-              onSave={(data)=>savePrompt(editing.id,data)}
-              onCancel={()=>setEditing(null)}/>
-          ) : (() => {
-            const singlePrompts   = prompts.filter(p=>!p.slug.startsWith('pipeline_'))
-            const pipelinePrompts = prompts.filter(p=>p.slug.startsWith('pipeline_'))
-            const jsonSlugs = ['pipeline_body','pipeline_nutrition','pipeline_activity']
-            return (
-              <>
-                {/* Single prompts */}
-                <div style={{fontSize:12,fontWeight:700,color:'var(--text3)',
-                  textTransform:'uppercase',letterSpacing:'0.05em',marginBottom:8}}>
-                  Einzelanalysen
-                </div>
-                {singlePrompts.map(p=>(
-                  <div key={p.id} className="card section-gap" style={{opacity:p.active?1:0.6}}>
-                    <div style={{display:'flex',alignItems:'center',gap:10}}>
-                      <div style={{flex:1}}>
-                        <div style={{fontWeight:600,fontSize:14,display:'flex',alignItems:'center',gap:8}}>
-                          {SLUG_LABELS[p.slug]||p.name}
-                          {!p.active && <span style={{fontSize:10,color:'#D85A30',
-                            background:'#FCEBEB',padding:'2px 8px',borderRadius:4,fontWeight:600}}>⏸ Deaktiviert</span>}
-                        </div>
-                        {p.description && <div style={{fontSize:12,color:'var(--text3)',marginTop:1}}>{p.description}</div>}
-                      </div>
-                      <button className="btn btn-secondary" style={{padding:'5px 8px',fontSize:12}}
-                        onClick={()=>{
-                          const token = localStorage.getItem('bodytrack_token')||''
-                          fetch(`/api/prompts/${p.id}`,{
-                            method:'PUT',
-                            headers:{'Content-Type':'application/json','X-Auth-Token':token},
-                            body:JSON.stringify({active:!p.active})
-                          }).then(loadAll)
-                        }}>
-                        {p.active?'Deaktivieren':'Aktivieren'}
-                      </button>
-                      <button className="btn btn-secondary" style={{padding:'5px 8px'}}
-                        onClick={()=>setEditing(p)}><Pencil size={13}/></button>
-                    </div>
-                    <div style={{marginTop:8,padding:'8px 10px',background:'var(--surface2)',borderRadius:6,
-                      fontSize:11,fontFamily:'monospace',color:'var(--text3)',maxHeight:60,overflow:'hidden',lineHeight:1.4}}>
-                      {p.template.slice(0,200)}…
-                    </div>
-                  </div>
-                ))}
-
-                {/* Pipeline prompts */}
-                <div style={{display:'flex',alignItems:'center',justifyContent:'space-between',margin:'20px 0 8px'}}>
-                  <div style={{fontSize:12,fontWeight:700,color:'var(--text3)',
-                    textTransform:'uppercase',letterSpacing:'0.05em'}}>
-                    Mehrstufige Pipeline
-                  </div>
-                  {(() => {
-                    const pipelinePrompt = prompts.find(p=>p.slug==='pipeline')
-                    return pipelinePrompt && (
-                      <button className="btn btn-secondary" style={{padding:'5px 12px',fontSize:12}}
-                        onClick={()=>{
-                          const token = localStorage.getItem('bodytrack_token')||''
-                          fetch(`/api/prompts/${pipelinePrompt.id}`,{
-                            method:'PUT',
-                            headers:{'Content-Type':'application/json','X-Auth-Token':token},
-                            body:JSON.stringify({active:!pipelinePrompt.active})
-                          }).then(loadAll)
-                        }}>
-                        {pipelinePrompt.active ? 'Gesamte Pipeline deaktivieren' : 'Gesamte Pipeline aktivieren'}
-                      </button>
-                    )
-                  })()}
-                </div>
-                {(() => {
-                  const pipelinePrompt = prompts.find(p=>p.slug==='pipeline')
-                  const isPipelineActive = pipelinePrompt?.active ?? true
-                  return (
-                    <div style={{padding:'10px 12px',
-                      background: isPipelineActive ? 'var(--warn-bg)' : '#FCEBEB',
-                      borderRadius:8,fontSize:12,
-                      color: isPipelineActive ? 'var(--warn-text)' : '#D85A30',
-                      marginBottom:12,lineHeight:1.6}}>
-                      {isPipelineActive ? (
-                        <>⚠️ <strong>Hinweis:</strong> Pipeline-Stage-1-Prompts müssen valides JSON zurückgeben.
-                        Halte das JSON-Format im Prompt erhalten. Stage 2 + 3 können frei angepasst werden.</>
-                      ) : (
-                        <>⏸ <strong>Pipeline deaktiviert:</strong> Die mehrstufige Gesamtanalyse ist aktuell nicht verfügbar.
-                        Aktiviere sie mit dem Schalter oben, um sie auf der Analyse-Seite zu nutzen.</>
-                      )}
-                    </div>
-                  )
-                })()}
-                {pipelinePrompts.map(p=>{
-                  const isJson = jsonSlugs.includes(p.slug)
-                  return (
-                    <div key={p.id} className="card section-gap"
-                      style={{borderLeft:`3px solid ${isJson?'var(--warn)':'var(--accent)'}`,opacity:p.active?1:0.6}}>
-                      <div style={{display:'flex',alignItems:'center',gap:10}}>
-                        <div style={{flex:1}}>
-                          <div style={{fontWeight:600,fontSize:14,display:'flex',alignItems:'center',gap:8}}>
-                            {p.name}
-                            {isJson && <span style={{fontSize:10,background:'var(--warn-bg)',
-                              color:'var(--warn-text)',padding:'1px 6px',borderRadius:4}}>JSON-Output</span>}
-                            {!p.active && <span style={{fontSize:10,color:'#D85A30',
-                              background:'#FCEBEB',padding:'2px 8px',borderRadius:4,fontWeight:600}}>⏸ Deaktiviert</span>}
-                          </div>
-                          {p.description && <div style={{fontSize:12,color:'var(--text3)',marginTop:1}}>{p.description}</div>}
-                        </div>
-                        <button className="btn btn-secondary" style={{padding:'5px 8px'}}
-                          onClick={()=>setEditing(p)}><Pencil size={13}/></button>
-                      </div>
-                      <div style={{marginTop:8,padding:'8px 10px',background:'var(--surface2)',borderRadius:6,
-                        fontSize:11,fontFamily:'monospace',color:'var(--text3)',maxHeight:80,overflow:'hidden',lineHeight:1.4}}>
-                        {p.template.slice(0,300)}…
-                      </div>
-                    </div>
-                  )
-                })}
-              </>
-            )
-          })()}
-        </div>
-      )}
     </div>
   )
 }

frontend/src/pages/SettingsPage.jsx

@@ -251,6 +251,23 @@ export default function SettingsPage() {
     setEditingId(null)
   }
 
+  const handleExportPlaceholders = async () => {
+    try {
+      const data = await api.exportPlaceholderValues()
+      const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' })
+      const url = URL.createObjectURL(blob)
+      const a = document.createElement('a')
+      a.href = url
+      a.download = `placeholders-${activeProfile?.name || 'profile'}-${new Date().toISOString().split('T')[0]}.json`
+      document.body.appendChild(a)
+      a.click()
+      document.body.removeChild(a)
+      URL.revokeObjectURL(url)
+    } catch (e) {
+      alert('Fehler beim Export: ' + e.message)
+    }
+  }
+
   return (
     <div>
       <h1 className="page-title">Einstellungen</h1>
@@ -409,6 +426,16 @@ export default function SettingsPage() {
                 <span className="badge-button-description">maschinenlesbar, alles in einer Datei</span>
               </div>
             </button>
+            <button className="btn btn-full"
+              onClick={handleExportPlaceholders}
+              style={{ background: 'var(--surface2)', border: '1px solid var(--border)' }}>
+              <div className="badge-button-layout">
+                <div className="badge-button-header">
+                  <span><BarChart3 size={14}/> Platzhalter exportieren</span>
+                </div>
+                <span className="badge-button-description">alle verfügbaren Platzhalter mit aktuellen Werten</span>
+              </div>
+            </button>
           </>}
         </div>
         <p style={{fontSize:11,color:'var(--text3)',marginTop:8}}>

frontend/src/utils/api.js

@@ -107,6 +107,7 @@ export const api = {
   insightPipeline: ()    => req('/insights/pipeline',{method:'POST'}),
   listInsights:    ()    => req('/insights'),
   latestInsights:  ()    => req('/insights/latest'),
+  deleteInsight:   (id)  => req(`/insights/${id}`, {method:'DELETE'}),
   exportZip: async () => {
     const res = await fetch(`${BASE}/export/zip`, {headers: hdrs()})
     if (!res.ok) throw new Error('Export failed')
@@ -282,4 +283,51 @@ export const api = {
     fd.append('file', file)
     return req('/blood-pressure/import/omron', {method:'POST', body:fd})
   },
+
+  // AI Prompts Management (Issue #28)
+  listAdminPrompts:   ()      => req('/prompts'),
+  createPrompt:       (d)     => req('/prompts', json(d)),
+  updatePrompt:       (id,d)  => req(`/prompts/${id}`, jput(d)),
+  deletePrompt:       (id)    => req(`/prompts/${id}`, {method:'DELETE'}),
+  duplicatePrompt:    (id)    => req(`/prompts/${id}/duplicate`, json({})),
+  reorderPrompts:     (order) => req('/prompts/reorder', jput(order)),
+  previewPrompt:      (tpl)   => req('/prompts/preview', json({template:tpl})),
+  generatePrompt:     (d)     => req('/prompts/generate', json(d)),
+  optimizePrompt:     (id)    => req(`/prompts/${id}/optimize`, json({})),
+  listPlaceholders:   ()      => req('/prompts/placeholders'),
+  resetPromptToDefault: (id)  => req(`/prompts/${id}/reset-to-default`, json({})),
+
+  // Pipeline Configs Management (Issue #28 Phase 2)
+  listPipelineConfigs:    ()      => req('/prompts/pipeline-configs'),
+  createPipelineConfig:   (d)     => req('/prompts/pipeline-configs', json(d)),
+  updatePipelineConfig:   (id,d)  => req(`/prompts/pipeline-configs/${id}`, jput(d)),
+  deletePipelineConfig:   (id)    => req(`/prompts/pipeline-configs/${id}`, {method:'DELETE'}),
+  setDefaultPipelineConfig: (id)  => req(`/prompts/pipeline-configs/${id}/set-default`, json({})),
+
+  // Pipeline Execution (Issue #28 Phase 2)
+  executePipeline:        (configId=null) => req('/insights/pipeline' + (configId ? `?config_id=${configId}` : ''), json({})),
+
+  // Unified Prompt System (Issue #28 Phase 2)
+  executeUnifiedPrompt:   (slug, modules=null, timeframes=null, debug=false, save=false) => {
+    const params = new URLSearchParams({ prompt_slug: slug })
+    if (debug) params.append('debug', 'true')
+    if (save) params.append('save', 'true')
+    const body = {}
+    if (modules) body.modules = modules
+    if (timeframes) body.timeframes = timeframes
+    return req('/prompts/execute?' + params, json(body))
+  },
+  createUnifiedPrompt:    (d)     => req('/prompts/unified', json(d)),
+  updateUnifiedPrompt:    (id,d)  => req(`/prompts/unified/${id}`, jput(d)),
+
+  // Batch Import/Export
+  exportAllPrompts:       ()      => req('/prompts/export-all'),
+  importPrompts:          (data, overwrite=false) => {
+    const params = new URLSearchParams()
+    if (overwrite) params.append('overwrite', 'true')
+    return req(`/prompts/import?${params}`, json(data))
+  },
+
+  // Placeholder Export
+  exportPlaceholderValues: ()     => req('/prompts/placeholders/export-values'),
 }

test-pipeline-api.sh

@@ -0,0 +1,68 @@
+#!/bin/bash
+# API-Tests für Pipeline-System (Issue #28)
+# Ausführen auf Server oder lokal: bash test-pipeline-api.sh
+
+echo "═══════════════════════════════════════════════════════════"
+echo "Pipeline-System API Tests"
+echo "═══════════════════════════════════════════════════════════"
+echo ""
+
+# Configuration
+API_URL="https://dev.mitai.jinkendo.de"
+TOKEN=""  # <-- Füge deinen Admin-Token hier ein
+
+if [ -z "$TOKEN" ]; then
+  echo "❌ Bitte TOKEN in Zeile 11 eintragen (Admin-Token von dev.mitai.jinkendo.de)"
+  echo ""
+  echo "1. In Browser einloggen: https://dev.mitai.jinkendo.de"
+  echo "2. Developer Tools öffnen (F12)"
+  echo "3. Application/Storage → localStorage → auth_token kopieren"
+  exit 1
+fi
+
+echo "Test 1: GET /api/prompts/pipeline-configs"
+echo "─────────────────────────────────────────────────────────"
+curl -s "$API_URL/api/prompts/pipeline-configs" \
+  -H "X-Auth-Token: $TOKEN" | jq -r '.[] | "\(.name) (default: \(.is_default), active: \(.active))"'
+echo ""
+
+echo "Test 2: GET /api/prompts/pipeline-configs - Full JSON"
+echo "─────────────────────────────────────────────────────────"
+curl -s "$API_URL/api/prompts/pipeline-configs" \
+  -H "X-Auth-Token: $TOKEN" | jq '.[0] | {name, is_default, modules, stage1_prompts, stage2_prompt}'
+echo ""
+
+echo "Test 3: POST /api/insights/pipeline (default config)"
+echo "─────────────────────────────────────────────────────────"
+echo "Hinweis: Dies startet eine echte KI-Analyse (kann 30-60s dauern)"
+read -p "Fortfahren? (y/n) " -n 1 -r
+echo
+if [[ $REPLY =~ ^[Yy]$ ]]; then
+  RESULT=$(curl -s -X POST "$API_URL/api/insights/pipeline" \
+    -H "X-Auth-Token: $TOKEN" \
+    -H "Content-Type: application/json")
+
+  echo "$RESULT" | jq '{
+    scope,
+    config: .config,
+    stage1_results: (.stage1 | keys),
+    content_length: (.content | length)
+  }'
+  echo ""
+  echo "Full content (first 500 chars):"
+  echo "$RESULT" | jq -r '.content' | head -c 500
+  echo "..."
+else
+  echo "Übersprungen."
+fi
+echo ""
+
+echo "Test 4: GET /api/prompts - Prüfe auf is_system_default"
+echo "─────────────────────────────────────────────────────────"
+curl -s "$API_URL/api/prompts" \
+  -H "X-Auth-Token: $TOKEN" | jq -r '.[] | select(.slug | startswith("pipeline_")) | "\(.slug): is_system_default=\(.is_system_default // false)"' | head -6
+echo ""
+
+echo "═══════════════════════════════════════════════════════════"
+echo "API-Tests abgeschlossen!"
+echo "═══════════════════════════════════════════════════════════"

test-pipeline-backend.sh

@@ -0,0 +1,53 @@
+#!/bin/bash
+# Test-Script für Pipeline-System Backend (Issue #28)
+# Ausführen auf Server: bash test-pipeline-backend.sh
+
+echo "═══════════════════════════════════════════════════════════"
+echo "Pipeline-System Backend Tests"
+echo "═══════════════════════════════════════════════════════════"
+echo ""
+
+# Container Names (from docker-compose.dev-env.yml)
+POSTGRES_CONTAINER="dev-mitai-postgres"
+DB_USER="mitai_dev"
+DB_NAME="mitai_dev"
+
+echo "Test 1: Migration 019 ausgeführt"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT version, applied_at FROM schema_migrations WHERE version = '019';"
+echo ""
+
+echo "Test 2: Tabelle pipeline_configs existiert"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "\d pipeline_configs" | head -40
+echo ""
+
+echo "Test 3: Seed-Daten (3 Configs erwartet)"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT name, is_default, active, stage2_prompt, stage3_prompt FROM pipeline_configs ORDER BY is_default DESC, name;"
+echo ""
+
+echo "Test 4: ai_prompts erweitert (is_system_default)"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT slug, is_system_default, (default_template IS NOT NULL) as has_default FROM ai_prompts WHERE slug LIKE 'pipeline_%' ORDER BY slug;"
+echo ""
+
+echo "Test 5: stage1_prompts Array-Inhalte"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT name, stage1_prompts FROM pipeline_configs WHERE name = 'Alltags-Check';"
+echo ""
+
+echo "Test 6: modules JSONB"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT name, jsonb_pretty(modules) as modules FROM pipeline_configs WHERE name = 'Alltags-Check';"
+echo ""
+
+echo "═══════════════════════════════════════════════════════════"
+echo "Alle DB-Tests abgeschlossen!"
+echo "═══════════════════════════════════════════════════════════"

test-unified-migration.sh

@@ -0,0 +1,74 @@
+#!/bin/bash
+# Test Migration 020: Unified Prompt System (Issue #28)
+
+echo "═══════════════════════════════════════════════════════════"
+echo "Migration 020: Unified Prompt System - Verification Tests"
+echo "═══════════════════════════════════════════════════════════"
+echo ""
+
+POSTGRES_CONTAINER="dev-mitai-postgres"
+DB_USER="mitai_dev"
+DB_NAME="mitai_dev"
+
+echo "Test 1: Migration 020 applied"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT version, applied_at FROM schema_migrations WHERE version = '020';"
+echo ""
+
+echo "Test 2: New columns exist in ai_prompts"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT column_name, data_type
+   FROM information_schema.columns
+   WHERE table_name = 'ai_prompts'
+   AND column_name IN ('type', 'stages', 'output_format', 'output_schema')
+   ORDER BY column_name;"
+echo ""
+
+echo "Test 3: Existing prompts migrated to pipeline type"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT slug, type,
+   CASE WHEN stages IS NOT NULL THEN 'Has stages' ELSE 'No stages' END as stages_status,
+   output_format
+   FROM ai_prompts
+   WHERE slug LIKE 'pipeline_%'
+   LIMIT 5;"
+echo ""
+
+echo "Test 4: Pipeline configs migrated to ai_prompts"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT slug, name, type,
+   jsonb_array_length(stages) as num_stages
+   FROM ai_prompts
+   WHERE slug LIKE 'pipeline_config_%';"
+echo ""
+
+echo "Test 5: Stages JSONB structure (sample)"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT slug, jsonb_pretty(stages) as stages_structure
+   FROM ai_prompts
+   WHERE slug LIKE 'pipeline_config_%'
+   LIMIT 1;"
+echo ""
+
+echo "Test 6: Backup table created"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT COUNT(*) as backup_count FROM pipeline_configs_backup_pre_020;"
+echo ""
+
+echo "Test 7: Indices created"
+echo "─────────────────────────────────────────────────────────"
+docker exec $POSTGRES_CONTAINER psql -U $DB_USER -d $DB_NAME -c \
+  "SELECT indexname FROM pg_indexes
+   WHERE tablename = 'ai_prompts'
+   AND indexname LIKE 'idx_ai_prompts_%';"
+echo ""
+
+echo "═══════════════════════════════════════════════════════════"
+echo "Migration 020 Tests Complete!"
+echo "═══════════════════════════════════════════════════════════"