learn-from-session

To analyze Claude Code sessions for workflow deviations, you can provide a session UUID or a session.jsonl file path. The tool reviews the session traces to identify iterations, missing questions, and post-implementation fixes, generating a structured report for skill improvements.

Session analysis for skill improvement is the process of reviewing session traces to evidence what went well and what failed. It works by examining iterations and workflow deviations, then proposing high-confidence enhancements with counterfactual reasoning to prevent future rework.

Yes, you can use a session UUID as input to generate an actionable workflow analysis report. The system processes the identifier to surface evidence-based recommendations and counterfactual reasoning for targeted skill enhancements.

Session review requires either a valid session UUID or a direct path to a session.jsonl file. These inputs provide the necessary session traces for the system to extract evidence and propose high-confidence skill enhancements.

The best way to turn session traces into high-confidence skill enhancements is to analyze iterations and post-implementation fixes using evidence-based review. This approach surfaces targeted improvements with counterfactual reasoning to effectively reduce future rework.

Analyzing post-implementation fixes and missing questions from a session.jsonl file is necessary to identify workflow deviations and user corrections. This evidence-based review generates targeted recommendations to prevent similar issues in future sessions.