lessons-capture

You capture project learnings by storing session experiences as reusable lessons. This Skill distills work into patterns and anti-patterns, saving them under a dedicated workspace memory path to prevent rework in future sessions.

The best way to store anti-patterns is recording them as structured lessons with evidence and context. This Skill saves these patterns to a project-scoped memory directory, tracking validity metadata and a Last Validated date for quick retrieval.

You should capture lessons immediately after completing significant features or bug fixes. Extracting patterns and anti-patterns at these milestones ensures the project knowledge is accurate and reusable for future work within the same workspace.

Yes, you can track lesson validity within a single project workspace. The Skill creates entries containing specific metadata fields, supporting evidence, and a Last Validated date to ensure stored knowledge remains accurate and reliable.

Knowledge management for project learning requires a dedicated folder structure. Lessons are stored specifically under the workspace's .ai-memory/lessons directory to consolidate project-scoped knowledge and enable quick retrieval.

Lessons-capture is used to distill project-session experiences into reusable, project-scoped knowledge. It prevents repeating mistakes by consolidating patterns and anti-patterns into a dedicated memory path for future reference.