| name | extract-skills-from-Codex-sessions |
| description | Automatically extract reusable skills from Codex session transcripts using LLM analysis and wire them into a Stop hook |
| version | 1.0.0 |
| source | auto-extracted |
| extracted | "2026-04-10T00:00:00.000Z" |
| metadata | {"tags":["Codex","skills","automation","self-improvement","hooks"]} |
Extract Skills from Codex Sessions
Wire a Stop hook that fires when Codex ends a session. The hook runs skill-extractor.py, which reads the transcript, calls an LLM (via OpenRouter) to identify skill-worthy patterns, and writes a SKILL.md file if extraction succeeds. Use openai library for API calls, strip JSON fence artifacts with .strip(), and request concise content (<1500 tokens) to avoid truncation. Test end-to-end with synthetic skill-worthy conversations before deploying.