agentleFS
nakane1chomenakane1chome/claude-skills/skills/review-skill/SKILL.md

review-skill

Skill0 starsChanged 8 months agoUnlicenseView on GitHub

Reviews a SKILL.md file or skill directory for quality, correctness, and alignment with Claude Code skill conventions. Use when you've written a new skill and want to check it before committing, or when evaluating an existing skill for improvements.

21 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

10 rules. 0 are common, 8 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 17 edited versions we read keep these.

  • 8

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read the target SKILL.md at $ARGUMENTS (and any supporting files in the directory).

    line 23
  2. Distinctive:

    Check that frontmatter is well-formed and follows conventions:

    line 29
  3. Distinctive:

    Check the prompt body for structural quality:

    line 46
  4. Distinctive:

    Check that the skill will work well in practice:

    line 61
  5. Very specific:

    If the skill uses $ARGUMENTS, does it handle missing or invalid arguments gracefully?

    line 67
  6. Distinctive:

    Do reference files over 100 lines include a table of contents so Claude can see their full scope?

    line 69
  7. Distinctive:

    No review pauses in a multi-stage workflow

    line 73
  8. Distinctive:

    If the skill is intended for this repo's skill library, check alignment with existing skills:

    line 83
  9. Distinctive:

    If the skill is standalone (not for this repo), skip repo-specific alignment checks and note this.

    line 93
  10. Distinctive:

    If the skill will be used across model tiers (Haiku, Sonnet, Opus), flag whether instructions are explicit enough for smaller models — what …

    line 105

“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

This skill reviews and fixes other skills — identifying issues and applying corrections with developer approval at each stage.

Stop after each stage and have changes reviewed with the user.

Note: The agent checks skills against conventions and best practices, then proposes fixes. The developer approves before changes are applied. When uncertain about intent, ask — don't assume.

See responsibilities.md for the full agent vs developer ownership matrix.

Each stage produces a checklist of findings (pass / issue / suggestion) and proposes fixes for any issues found. Stage 5 delivers an overall quality assessment and publish/revise/rethink recommendation.

  1. Read and understand the skill (agent proposes, developer confirms)
    • Read the target SKILL.md at $ARGUMENTS (and any supporting files in the directory). If no argument was provided, ask the user which skill to review.
    • Summarize: what does this skill do, when is it invoked, and what workflow does it follow?
    • Confirm understanding before proceeding to review
  2. Frontmatter review (agent reviews, then fixes with developer approval)

    Check that frontmatter is well-formed and follows conventions:

    • Is name kebab-case and does it match the directory name?
    • Is description present, specific enough to trigger correctly, and does it include when-to-use context?
    • Are invocation control fields appropriate for the skill's purpose?
      • Side-effect workflows should use disable-model-invocation: true
      • Background knowledge should use user-invocable: false
    • Is allowed-tools set if the skill should restrict tool access?
    • Is argument-hint present if the skill uses $ARGUMENTS?
    • Is the description written in third person? (descriptions are injected into the system prompt — third person reads naturally there)
    • Are context/agent set appropriately if the skill runs in isolation?
    • Are there unknown or misspelled frontmatter fields?

    Report findings as a checklist: pass / issue / suggestion. Then apply fixes for any issues, with developer approval.

  3. Prompt structure review (agent reviews, then fixes with developer approval)

    Check the prompt body for structural quality:

    • Does it have a stop-after-each-stage instruction if it's a multi-stage workflow?
    • Is there a Stage 0 for understanding/confirmation before doing work?
    • Are agent vs developer responsibilities clear at each stage?
    • Does it use questions to guide analysis, not just imperatives?
    • Is the skill under 500 lines? Does it reference supporting files for detail rather than inlining everything?
    • Does the skill specify what artifacts or outputs it produces and in what format? (reports, checklists, files, modified documents)
    • Are file references at most one level deep from SKILL.md? (no file→file→file chains — Claude may partially read nested references)
    • Is the stage numbering consistent and logical?

    Report findings as a checklist: pass / issue / suggestion. Then apply fixes for any issues, with developer approval.

  4. Effectiveness review (agent reviews, then fixes with developer approval)

    Check that the skill will work well in practice:

    • Are instructions unambiguous — will Claude interpret them correctly?
    • Is the scope right-sized? (Not trying to do too much in one skill)
    • Are $ARGUMENTS, $0, $1 used correctly if present?
    • Is dynamic context (exclamation-mark backtick syntax) used correctly if present?
    • If the skill uses $ARGUMENTS, does it handle missing or invalid arguments gracefully? (prompt the user, show usage, or fail with a clear message)
    • Does the skill address what happens when it encounters an error or unexpected state? (validation, recovery, or clear reporting — not every skill needs elaborate handling, but it shouldn't leave the developer guessing)
    • Do reference files over 100 lines include a table of contents so Claude can see their full scope?
    • Are supporting files referenced from SKILL.md?
    • Check for anti-patterns:
      • Overly broad or narrow description
      • No review pauses in a multi-stage workflow
      • Unreferenced supporting files in the directory
      • Task instructions in a skill with no context: fork and no clear action
      • Deeply nested file references (file→file→file chains that Claude may not follow)
      • Agent escape hatches: Soft language ("where appropriate", "if you have a clear fix", "as needed") that lets the agent skip required work. Completion gates must use hard prerequisites, not discretionary phrasing. Look for: conditional qualifiers on mandatory steps, missing definitions of done, and loops without explicit exit criteria.

    Report findings as a checklist: pass / issue / suggestion. Then apply fixes for any issues, with developer approval.

  5. Alignment review (agent reviews, then fixes with developer approval)

    If the skill is intended for this repo's skill library, check alignment with existing skills:

    • Consistent formatting with other skills in the repo?
      • Blockquotes for philosophy notes
      • Bold for stage titles
      • Tables for comparisons
    • Includes "When to use this vs other skills" if it overlaps with existing skills?
    • Follows the composition model (flesh-out -> review-steps -> strong-edit -> agent-optimize)?
    • Has a responsibilities.md if it's a multi-stage workflow with mixed agent/developer ownership?

    If the skill is standalone (not for this repo), skip repo-specific alignment checks and note this.

    Report findings as a checklist: pass / issue / suggestion. Then apply fixes for any issues, with developer approval.

  6. Summary and recommendations (agent leads)

    Provide a final summary:

    • Overall quality assessment (ready to use / needs minor fixes / needs rework)
    • Top 3 issues to address (if any)
    • Top 3 strengths (what the skill does well)
    • Recommendation: publish / revise / rethink
    • If the skill will be used across model tiers (Haiku, Sonnet, Opus), flag whether instructions are explicit enough for smaller models — what works for Opus may need more detail for Haiku

When to Use This vs Other Skills

GoalUse
Review a document for polishreview-steps
Review a document for substantive critiquestrong-edit
Review a SKILL.md for quality and conventionsreview-skill
Create a new skill from scratchStart with _template, then review-skill the result

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.