review-skilllisted
Install: claude install-skill azborgonovo/ai-skills
# Review Skill
Audit an existing skill against how good skills actually behave, then tighten it — a close reading that surfaces what undermines the skill and fixes it on the user's say-so. When the user wants measured triggering accuracy or eval-graded iteration, hand off to skill-creator, which owns the empirical description-optimizing loop; don't rebuild that loop here.
Work in two phases: **critique first, edit second.** Never rewrite the skill before the user has seen the findings and chosen what to apply.
## Resolve the target
Take the skill from `$ARGUMENTS` — a skill name (resolve to `skills/<name>/SKILL.md` or the installed `~/.claude/skills/<name>/SKILL.md`) or a direct path. With no argument, review the skill in progress: the `SKILL.md` most recently edited this session or showing in `git status`; if that's ambiguous, confirm which one before reviewing. Read the whole bundle, not just `SKILL.md` — note any `scripts/`, `references/`, `assets/`, and `evals/`, since their presence (or absence) is itself a finding.
## Load the lenses
Two lenses sharpen the review when available. Use each only if present, and do not reconstruct it inline when it's missing — a partial review beats a duplicated rubric that drifts out of sync.
- **Project conventions** — if the repo has a `CLAUDE.md` with skill-authoring guidance, read it and treat its rules as binding for this review (this repo's, for instance, bans `---` section separators, reserves bold for lead-ins and directives