project-skill-audit
Audit a project and recommend the highest-value skills to add or update.
Project Skill Audit
Overview
Audit the project's real recurring workflows before recommending skills. Prefer evidence from memory, rollout summaries, existing skill folders, and current repo conventions over generic brainstorming.
Recommend updates before new skills when an existing project skill is already close to the needed behavior.
When to Use
- When the user asks what skills a project needs or which existing skills should be updated.
- When recommendations should be grounded in project history, memory files, and local conventions.
Workflow
- Map the current project surface.
Identify the repo root and read the most relevant project guidance first, such as AGENTS.md, README.md, roadmap/ledger files, and local docs that define workflows or validation expectations.
- Build the memory/session path first.
Resolve the memory base as $CODEX_HOME when set, otherwise default to ~/.codex. Use these locations:
- memory index:
$CODEX_HOME/memories/MEMORY.mdor~/.codex/memories/MEMORY.md - rollout summaries:
$CODEX_HOME/memories/rollout_summaries/ - raw sessions:
$CODEX_HOME/sessions/or~/.codex/sessions/
- Read project past sessions in this order.
If the runtime prompt already includes a memory summary, start there. Then search MEMORY.md for:
- repo name
- repo basename
- current
cwd - important module
Subscribers only
The full skill, its 2 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | Dimillian/Skills (MIT) |
|---|---|
| License | — |
| Risk label | safe ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md, agents/openai.yaml |
| Added | 2026-03-25 |
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