backend/routers/skill_profiles.py

@@ -14,12 +14,17 @@ from tenant_context import TenantContext, get_tenant_context, library_content_vi
 from skill_scoring import (
     GRAPH_DEFAULT_ITEM_MINUTES,
     ExerciseOccurrence,
+    batch_compute_profiles,
+    batch_framework_occurrences_by_id,
+    batch_module_occurrences_by_id,
     collect_module_exercise_occurrences,
     collect_progression_graph_exercise_occurrences,
     collect_unit_exercise_occurrences,
+    compact_profile_summary,
     compute_club_corpus_reference,
     compute_corpus_skill_max_weights,
     compute_skill_profile,
+    fetch_exercise_skills_bulk,
     match_score_for_skill_ids,
     profile_for_occurrences,
     reference_scale_meta,
@@ -239,33 +244,31 @@ def batch_skill_profile_summaries(
             include_artifact_summaries=True,
         )
         ref_by_skill = corpus["ref_by_skill"]
-        all_summaries = corpus.get("artifact_summaries") or {}
 
+        allowed_fp: List[int] = []
         if fp_ids:
-            allowed_fp = []
             for fid in fp_ids:
                 try:
                     _framework_access(cur, fid, profile_id, role)
                     allowed_fp.append(fid)
                 except HTTPException:
                     pass
-            for fid in allowed_fp:
-                key = f"framework_program:{fid}"
-                if key in all_summaries:
-                    summaries[key] = all_summaries[key]
 
+        allowed_mod: List[int] = []
         if mod_ids:
-            allowed_mod = []
             for mid in mod_ids:
                 try:
                     _module_access(cur, mid, profile_id, role)
                     allowed_mod.append(mid)
                 except HTTPException:
                     pass
-            for mid in allowed_mod:
+
-                key = f"training_module:{mid}"
+        summaries = _merge_batch_summaries(
-                if key in all_summaries:
+            cur,
-                    summaries[key] = all_summaries[key]
+            corpus=corpus,
+            allowed_fp=allowed_fp,
+            allowed_mod=allowed_mod,
+        )
 
     skill_ids_seen: set[int] = set()
     for summary in summaries.values():
@@ -551,3 +554,100 @@ def _enrich_profile_club_best(
 
 def _empty_profile() -> Dict[str, Any]:
     return compute_skill_profile([], {})
+
+
+def _summarize_framework_program(
+    cur,
+    framework_id: int,
+    ref_max: Dict[int, float],
+    ref_by_skill: Dict[int, Dict[str, Any]],
+) -> Dict[str, Any]:
+    cur.execute(
+        """
+        SELECT tu.id
+        FROM training_framework_slots s
+        INNER JOIN training_units tu ON tu.framework_slot_id = s.id
+        WHERE s.framework_program_id = %s
+        """,
+        (int(framework_id),),
+    )
+    occ: List[ExerciseOccurrence] = []
+    for u in cur.fetchall():
+        occ.extend(collect_unit_exercise_occurrences(cur, int(u["id"])))
+    prof = (
+        profile_for_occurrences(cur, occ, reference_max_by_skill=ref_max)
+        if occ
+        else _empty_profile()
+    )
+    _enrich_profile_club_best(prof, ref_by_skill, "framework_program", int(framework_id))
+    return compact_profile_summary(prof, ref_by_skill)
+
+
+def _summarize_training_module(
+    cur,
+    module_id: int,
+    ref_max: Dict[int, float],
+    ref_by_skill: Dict[int, Dict[str, Any]],
+) -> Dict[str, Any]:
+    occ = collect_module_exercise_occurrences(cur, int(module_id))
+    prof = (
+        profile_for_occurrences(cur, occ, reference_max_by_skill=ref_max)
+        if occ
+        else _empty_profile()
+    )
+    _enrich_profile_club_best(prof, ref_by_skill, "training_module", int(module_id))
+    return compact_profile_summary(prof, ref_by_skill)
+
+
+def _merge_batch_summaries(
+    cur,
+    *,
+    corpus: Dict[str, Any],
+    allowed_fp: List[int],
+    allowed_mod: List[int],
+) -> Dict[str, Dict[str, Any]]:
+    """Summaries für angeforderte IDs — auch official/private (nicht nur Vereins-Corpus-Cache)."""
+    ref_max = corpus["max_by_skill"]
+    ref_by_skill = corpus["ref_by_skill"]
+    cached = corpus.get("artifact_summaries") or {}
+    out: Dict[str, Dict[str, Any]] = {}
+
+    missing_fp = [fid for fid in allowed_fp if f"framework_program:{fid}" not in cached]
+    if missing_fp:
+        occ_map = batch_framework_occurrences_by_id(cur, missing_fp)
+        all_eids = {o.exercise_id for occs in occ_map.values() for o in occs}
+        skills_map = fetch_exercise_skills_bulk(cur, all_eids) if all_eids else {}
+        profiles = batch_compute_profiles(occ_map, skills_map, reference_max_by_skill=ref_max)
+        for fid in missing_fp:
+            key = f"framework_program:{fid}"
+            prof = profiles.get(fid) or _empty_profile()
+            _enrich_profile_club_best(prof, ref_by_skill, "framework_program", fid)
+            out[key] = compact_profile_summary(prof, ref_by_skill)
+
+    missing_mod = [mid for mid in allowed_mod if f"training_module:{mid}" not in cached]
+    if missing_mod:
+        occ_map = batch_module_occurrences_by_id(cur, missing_mod)
+        all_eids = {o.exercise_id for occs in occ_map.values() for o in occs}
+        skills_map = fetch_exercise_skills_bulk(cur, all_eids) if all_eids else {}
+        profiles = batch_compute_profiles(occ_map, skills_map, reference_max_by_skill=ref_max)
+        for mid in missing_mod:
+            key = f"training_module:{mid}"
+            prof = profiles.get(mid) or _empty_profile()
+            _enrich_profile_club_best(prof, ref_by_skill, "training_module", mid)
+            out[key] = compact_profile_summary(prof, ref_by_skill)
+
+    for fid in allowed_fp:
+        key = f"framework_program:{fid}"
+        if key in cached:
+            out[key] = cached[key]
+        elif key not in out:
+            out[key] = _summarize_framework_program(cur, fid, ref_max, ref_by_skill)
+
+    for mid in allowed_mod:
+        key = f"training_module:{mid}"
+        if key in cached:
+            out[key] = cached[key]
+        elif key not in out:
+            out[key] = _summarize_training_module(cur, mid, ref_max, ref_by_skill)
+
+    return out

backend/skill_scoring.py

@@ -566,9 +566,10 @@ def compact_profile_summary(
     profile: Dict[str, Any],
     ref_by_skill: Optional[Dict[int, Dict[str, Any]]] = None,
     *,
-    skills_limit: int = 20,
+    skills_limit: int = 0,
+    category_limit: int = 48,
 ) -> Dict[str, Any]:
-    """Leichtgewichtiges Profil für Listen — ohne Übungsdetails."""
+    """Leichtgewichtiges Profil für Listen — ohne Übungsdetails. skills_limit=0 → alle Fähigkeiten."""
     skills_out: List[Dict[str, Any]] = []
     for s in profile.get("skills") or []:
         sid = int(s["skill_id"])
@@ -579,6 +580,7 @@ def compact_profile_summary(
             "category_name": s.get("category_name") or s.get("category"),
             "main_category_name": s.get("main_category_name"),
             "weight": s.get("weight"),
+            "score": s.get("score") or s.get("weight"),
             "universal_percent": s.get("universal_percent"),
         }
         ref = (ref_by_skill or {}).get(sid)
@@ -587,14 +589,14 @@ def compact_profile_summary(
         if s.get("is_club_best_for_skill"):
             entry["is_club_best_for_skill"] = True
         skills_out.append(entry)
-        if len(skills_out) >= skills_limit:
+        if skills_limit > 0 and len(skills_out) >= skills_limit:
             break
     return {
         "total_score": profile.get("total_score"),
         "total_weight": profile.get("total_weight"),
         "exercise_occurrence_count": profile.get("exercise_occurrence_count"),
         "skills_count": len(profile.get("skills") or []),
-        "top_by_category": top_categories_summary(profile),
+        "top_by_category": top_categories_summary(profile, limit=category_limit),
         "skills": skills_out,
     }
 

frontend/src/app.css

@@ -2744,12 +2744,17 @@ html.modal-scroll-locked .app-main {
   -webkit-box-orient: vertical;
   overflow: hidden;
 }
-.skill-kpi-tile__pct {
+.skill-kpi-tile__score {
-  font-size: 0.72rem;
+  font-size: 0.78rem;
   font-weight: 700;
-  color: var(--accent-dark);
+  color: var(--text1);
   margin-top: 2px;
 }
+.skill-kpi-tile__pct {
+  font-size: 0.68rem;
+  font-weight: 600;
+  color: var(--accent-dark);
+}
 .skill-profile__name-cat {
   font-weight: 500;
   color: var(--text3);

frontend/src/components/skills/SkillProfileCompact.jsx

@@ -1,5 +1,5 @@
 import React from 'react'
-import { formatClubPercent, kpiRowsFromSummary } from '../../utils/skillProfileListHelpers'
+import { formatClubPercent, formatSkillWeight, kpiRowsFromSummary } from '../../utils/skillProfileListHelpers'
 
 /**
  * Kleine KPI-Kacheln: je Unterkategorie die Top-Fähigkeit (Listen/Karten).
@@ -8,7 +8,7 @@ export default function SkillProfileCompact({
   summary,
   loading = false,
   emptyText = 'Keine Fähigkeiten',
-  displayLimit = 8,
+  displayLimit = 24,
   highlightSkillIds = [],
 }) {
   if (loading) {
@@ -39,10 +39,11 @@ export default function SkillProfileCompact({
               (highlighted ? ' skill-kpi-tile--highlight' : '') +
               (isBest ? ' skill-kpi-tile--best' : '')
             }
-            title={`${row.category_name}: ${row.skill_name}`}
+            title={`${row.category_name}: ${row.skill_name} — Gewicht ${formatSkillWeight(row.weight ?? row.score)}, ${formatClubPercent(row.universal_percent)} vom Vereins-Maximum`}
           >
             <span className="skill-kpi-tile__cat">{row.category_name}</span>
             <span className="skill-kpi-tile__name">{row.skill_name}</span>
+            <span className="skill-kpi-tile__score">{formatSkillWeight(row.weight ?? row.score)}</span>
             <span className="skill-kpi-tile__pct">
               {isBest ? '★ ' : ''}
               {formatClubPercent(row.universal_percent)}

frontend/src/components/skills/SkillProfilePanel.jsx

@@ -244,7 +244,7 @@ export default function SkillProfilePanel({
         </>
       )}
 
-      {displayMode === 'summary' && slots && slots.length > 0 ? (
+      {slots && slots.length > 0 ? (
         <div className="skill-profile__slots">
           <span className="skill-profile__slots-label">Pro Session</span>
           <ul className="skill-profile__slot-list">
@@ -270,11 +270,18 @@ export default function SkillProfilePanel({
                       </span>
                     )}
                   </button>
-                  {open && sl.profile?.by_main_category?.length > 0 ? (
+                  {open && sl.profile?.skills?.length > 0 ? (
-                    <CategoryGroupedProfile
+                    displayMode === 'full' ? (
-                      profile={sl.profile}
+                      <FullSkillsProfile
-                      ariaLabel={`Fähigkeiten Session ${(sl.sort_order ?? 0) + 1}`}
+                        profile={sl.profile}
-                    />
+                        ariaLabel={`Alle Fähigkeiten Session ${(sl.sort_order ?? 0) + 1}`}
+                      />
+                    ) : (
+                      <CategoryGroupedProfile
+                        profile={sl.profile}
+                        ariaLabel={`Fähigkeiten Session ${(sl.sort_order ?? 0) + 1}`}
+                      />
+                    )
                   ) : null}
                 </li>
               )

frontend/src/utils/frameworkProgramListHelpers.js

@@ -2,7 +2,7 @@ import { formatDurationDisplay, formatSessionDurationRange } from './trainingDur
 import {
   frameworkSkillSummaryKey,
   maxSelectedSkillClubPercent,
-  skillEntryFromSummary,
+  summaryHasSkill,
 } from './skillProfileListHelpers'
 
 export function frameworkSessionDurationLabel(row) {
@@ -117,7 +117,7 @@ export const EMPTY_FRAMEWORK_IMPORT_FILTERS = {
   skillIds: [],
   skillSort: 'title',
   skillMinClubPercent: 0,
-  skillDisplayLimit: 10,
+  skillDisplayLimit: 24,
 }
 
 export function hasActiveFrameworkImportFilters(filters = {}) {
@@ -241,14 +241,8 @@ export function filterFrameworkPrograms(rows, filters = {}, skillSummaries = nul
   if (skillIds.length && skillSummaries) {
     list = list.filter((r) => {
       const summary = skillSummaries[frameworkSkillSummaryKey(r.id)]
-      if (!summary) return minClubPct === 0
+      if (!summary) return false
-      return skillIds.some((sid) => {
+      return skillIds.some((sid) => summaryHasSkill(summary, sid, minClubPct))
-        const sk = skillEntryFromSummary(summary, sid)
-        if (!sk) return false
-        const pct = sk.universal_percent
-        if (pct == null) return minClubPct === 0
-        return pct >= minClubPct
-      })
     })
   }
 

frontend/src/utils/skillProfileListHelpers.js

@@ -7,8 +7,19 @@ export function moduleSkillSummaryKey(id) {
 }
 
 export function skillEntryFromSummary(summary, skillId) {
-  if (!summary?.skills) return null
+  if (!summary) return null
-  return summary.skills.find((s) => String(s.skill_id) === String(skillId)) || null
+  const sid = String(skillId)
+  const fromSkills = (summary.skills || []).find((s) => String(s.skill_id) === sid)
+  if (fromSkills) return fromSkills
+  return (summary.top_by_category || []).find((s) => String(s.skill_id) === sid) || null
+}
+
+export function summaryHasSkill(summary, skillId, minClubPct = 0) {
+  const sk = skillEntryFromSummary(summary, skillId)
+  if (!sk || !(Number(sk.weight) > 0)) return false
+  const pct = sk.universal_percent
+  if (pct == null) return minClubPct === 0
+  return pct >= minClubPct
 }
 
 export function maxSelectedSkillClubPercent(summary, skillIds = []) {
@@ -30,6 +41,12 @@ export function formatClubPercent(value) {
   return n % 1 === 0 ? `${n}%` : `${n.toFixed(1)}%`
 }
 
+export function formatSkillWeight(value) {
+  const n = Number(value)
+  if (!Number.isFinite(n)) return '—'
+  return n % 1 === 0 ? String(n) : n.toFixed(1)
+}
+
 /** KPI-Zeilen: immer Top je Unterkategorie; bei Skill-Filter nur passende Kategorien. */
 export function kpiRowsFromSummary(summary, { skillIds = [], limit = 8 } = {}) {
   if (!summary) return []