learn-skill-from-conversations

You can automatically extract reusable lessons from Codex conversations by reading session data from ~/.codex/sessions and archived_sessions to identify patterns and propose skill updates.

Evolving a local skill library from session logs involves deterministic extraction of recent conversations, validating the derived lessons, and coordinating with skill-creator to apply updates or create new skills.

To generate Codex skill updates from recent sessions, the tool scans your session stores, identifies reusable lessons, and proposes changes via skill-creator while providing a clear audit trail of decisions.

Yes, you can clean up old session data after extracting skills from Codex conversations, as the workflow includes optional cleanup of processed session data alongside rigorous validation.

Yes, skill-creator works with both active and archived Codex sessions by reading from ~/.codex/sessions and archived_sessions to coordinate the application of validated skill updates.

A limitation of automating skill updates from conversation logs is that it relies on deterministic extraction and rigorous validation, requiring manual review of the audit trail to ensure proposed changes are accurate.