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Review skill

Skill nakane1chome/claude-skills/skills/review-skill

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.From its SKILL.md

Install
npx -y skills add nakane1chome/claude-skills --skill review-skill

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

6.8 KB, ~1.4k tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it: 1 file

2.4 KB alongside SKILL.md

Gives 0 of the 12 instructions most review quality skills give in ~1.4k tokens

Counted across 1,048 of the 1,783 authors here whose files we hold, read 2026-08-07

  • Ask questions one at a timein 81 of 1048, across 64 files
  • Provide a recommended answer for each questionin 73 of 1048, across 50 files
  • Explore the codebase instead of asking answerable questionsin 66 of 1048, across 42 files
  • Resolve dependencies between decisions one-by-onein 42 of 1048, across 17 files
  • Interview the user relentlessly about the planin 38 of 1048, across 13 files
  • Order findings by severityin 31 of 1048
  • Resolve each branch of the decision treein 27 of 1048, across 5 files
  • Run a grilling sessionin 26 of 1048, across 5 files
  • Update CONTEXT.md immediately when a term is resolvedin 26 of 1048, across 11 files
  • Propose precise canonical terms for vague languagein 25 of 1048, across 7 files
  • Create documentation files lazilyin 24 of 1048, across 5 files
  • Assign severity to every findingin 24 of 1048

Said here and by no other author read

  • Stop after each stage for user review
  • Read the target SKILL.md and supporting files
  • Summarize the skill's purpose, triggers, and workflow
  • Check frontmatter for correct conventions and spelling
  • Check prompt body for structural quality
  • Check instructions for unambiguous effectiveness

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 326,782. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.