aidlc-superpowers-tracking

Analyzing audit logs optimizes AI-driven development workflows by parsing session state files to summarize invoked skills, identify failure points, and suggest actionable tuning improvements. It reviews completed, skipped, and failed steps to find workflow inefficiencies.

Finding frequently skipped or failed steps requires pattern analysis across multiple development sessions to identify recurring workflow issues or skill deficiencies. It compares historical audit logs to detect these common failure points and highlight areas needing prompt improvements.

You can get tuning suggestions for workflow optimization by analyzing usage patterns from your session audit logs. It provides actionable recommendations such as prompt improvements for frequently failing skills or reviewing minimal depth settings for skipped stages.

Comprehensive session skill tracking requires parsing devflow-audit.md and devflow-state.md files. These files contain the necessary audit logs and state data to analyze invoked skills, user gate choices, and overall workflow performance.

Recurring skill deficiencies in workflow analysis indicate potential workflow issues or skill limitations found by comparing data across multiple sessions. It highlights frequently skipped or failed steps, revealing areas where prompt improvements or setting adjustments are needed.

You need specific state files like devflow-audit.md and devflow-state.md to analyze invoked skills and user gate choices. Parsing these files provides the session summary required to list skill statuses and identify workflow optimization opportunities.