review-lessons

To audit accumulated lessons, this skill scans memory files and project instructions to categorize findings into groups like 'Promote', 'Outdated', and 'Trim from guidance'. It systematically identifies valuable insights for your central knowledge base.

Managing code review insights is streamlined by categorizing lessons from files like CLAUDE.md into 'Project-specific' or 'Already covered'. This maintains guidance relevance by promoting recurring solutions and pruning outdated information.

Knowledge management for AI learning handles outdated instructions by auditing project files and categorizing obsolete entries as 'Outdated' or 'Trim from guidance'. This ensures your shared guidance remains accurate and relevant.

Yes, you can scan CLAUDE.md and MEMORY.md files to identify best practices. The skill analyzes these project directories and AI configurations to extract recurring solutions, promoting them to shared guidance for team use.

You need to run a knowledge audit after a series of complex coding tasks. This identifies recurring solutions or best practices that should be added to your team's central knowledge base and prunes outdated information.

No, knowledge management for AI learning does not require external dependencies. It operates independently to audit accumulated lessons in memory and project files, categorizing findings to streamline your shared guidance.