← ClaudeAtlas

self-improving-skills-reviewlisted

Review a completed Codex turn for durable skill improvements, using the chatgpt-codex-self-improving-skills plugin's skill-manager tools or scripts. Use after user corrections, repeated workflow friction, non-trivial debugging techniques, or when the Stop hook requests a self-improvement pass.
UniM0cha/self-improving-skills · ★ 26 · AI & Automation · score 77
Install: claude install-skill UniM0cha/self-improving-skills
# Codex Self-Improvement Review Use this skill to decide whether a recent interaction should update Codex's reusable skills. Treat skills as procedural memory: they record how to do a class of task, not one-off facts. ## Review Policy Inspect the current thread evidence before writing anything. Then walk this ladder and act on the EARLIEST rung that applies (Hermes review-priority order): 1. **Patch a skill that was in play this session.** If a skill was loaded or invoked (`$skill-name`) during this thread and it turned out wrong, stale, or incomplete — that is the skill to fix first. It routed the work, so its gaps are exactly what future sessions will hit. 2. **Extend an existing relevant skill.** Prefer adding the gotcha, corrected step, or example to a skill that already governs this class of task over creating a new narrow sibling. 3. **Embed the corrected preference in the governing skill.** User corrections about workflow, tone, formatting, or verification belong in the body of the skill that governs that class of task — so the next session starts already corrected. 4. **Create a new skill — last resort.** Only when the learning is class-level and likely to recur, and no existing skill covers it. Additional rules: - **Name anti-patterns** (a bad name means the knowledge is not class-level — fall back up the ladder or capture nothing): a PR number, an error string, a session label like `fix-X` / `debug-Y`, a bare library name with no