- Updated `PROJECT_STATUS.md` to reflect the implementation of F15 features, including the unified slot review and handling of `findings_stale`.
- Enhanced `PROGRESSION_GRAPH_SLOT_EDITOR_SPEC.md` with detailed descriptions of new functionalities related to the match dialog and path quality assessments.
- Introduced new functions in `exercise_progression_graphs.py` to validate exercise visibility against progression graph settings, ensuring proper governance.
- Improved frontend components to support new governance parameters (visibility and club_id) in exercise creation workflows.
- Updated documentation in `HANDOVER.md` and `PLANNING_KI_ROADMAP.md` to outline the latest developments and validation results for the F15 features.
- Enhanced utility functions for exercise creation to incorporate governance settings, improving the overall user experience in the path builder and editor.
- Introduced skills catalog management in the `ProgressionGraphEditor`, allowing for improved context in AI suggestions.
- Updated the loading mechanism to fetch both focus areas and skills catalog concurrently, enhancing performance.
- Implemented `ensureQuickCreateDraftFromAiSuggestion` utility to streamline the creation of drafts from AI suggestions.
- Enhanced slot management by integrating AI context into the gap fill preparation process, improving user experience.
- Incremented application version to reflect these updates.
- Updated APP_VERSION to 0.8.166 and modified BUILD_DATE to reflect recent changes.
- Enhanced AI exercise creation process with a new quick create feature, allowing users to generate exercises based on search input.
- Introduced a rich text editor for editing AI-generated drafts, improving user experience in exercise creation.
- Updated ExercisePickerModal and related components to support the new quick create functionality, including error handling and input validation.
- Added new utility functions for parsing search queries and building exercise payloads from drafts.
- Updated the quick create process to include a preview feature for AI-generated exercises, allowing users to review goals, execution, preparation, and trainer notes.
- Introduced new constants for instruction fields and refactored the payload building function to utilize the preview data.
- Improved error handling to ensure at least one of the goal or execution fields is populated.
- Deprecated the previous payload building function in favor of the new preview-based approach, streamlining the exercise creation workflow.
- Updated APP_VERSION to 0.8.164 and added changelog entry for the new version.
- Enhanced ExercisePickerModal to support quick exercise creation using AI, including fields for sketch and focus area.
- Implemented error handling for AI suggestions and improved user prompts for input validation.
- Updated UI elements to reflect changes in exercise creation workflow.
