- Introduced new functions for handling exercise visibility in progression graphs, including `library_content_visibility_for_progression_graph_sql` to manage visibility based on graph context.
- Added `_supplemental_exercise_ids_from_body` to extract exercise IDs from request bodies, improving data handling in path suggestions.
- Implemented visibility promotion candidate retrieval in the API, allowing for the identification of private exercises that need visibility adjustments when promoting graph visibility.
- Enhanced existing SQL queries and retrieval functions to incorporate new visibility logic, ensuring accurate exercise visibility based on user roles and graph settings.
- Updated frontend components to support visibility promotion workflows, including user prompts for managing private exercises during graph visibility changes.
- Added tests to validate new visibility logic and ensure robustness in exercise retrieval and promotion processes.
- Updated the exercise form to include a tabbed navigation structure, improving user experience with sections for Stammdaten, Anleitung, Einordnung, Varianten, and Medien & Mehr.
- Introduced the concept of **Freigabelevel** (visibility level) in the UI, replacing previous terminology for clarity and consistency across components.
- Implemented new AI endpoints for exercise suggestions and regeneration, allowing for dynamic content generation without direct database writes.
- Removed the legacy `is_primary` flag from exercise skills in the UI, ensuring that intensity levels (`niedrig`, `mittel`, `hoch`) are the primary focus for skill management.
- Enhanced the variant management process with improved saving mechanisms and UI updates to reflect changes more intuitively.
- Added capabilities for weighted skill profiles, allowing trainers to compare training modules, frameworks, and regression paths based on skill contributions.
- Updated the skill scoring specification to include peer context separation and list filtering, ensuring accurate comparisons among visible artifacts of the same type.
- Enhanced the API to support batch summaries for skill profiles and discovery suggestions, improving data retrieval efficiency.
- Refactored frontend components to display skill metrics, including scores and peer percentages, with improved filtering options for better user experience.
- Updated documentation to reflect the latest changes and enhancements in the skill scoring system.
- Bumped APP_VERSION to 0.8.136 and updated the changelog to reflect recent changes.
- Fixed the Mandanten-Header handling in `api/exercises.js` for improved API requests.
- Continued Frontend Phase 4 with the addition of the `exercises.js` module, enhancing the API structure.
- Updated architecture documentation to include details on the new `exercises.js` API and its integration with the existing client structure.
- Enhanced `utils/api.js` to re-export the new exercises module, streamlining API access.
