Skill Reviewer logo

Skill Reviewer

CommunityPopular
daymade
skill-reviewer

Reviews and improves Claude Code skills against official best practices. Supports three modes - self-review (validate your own skills), external review (evaluate others' skills), and auto-PR (fork, improve, submit). Use when checking skill quality, reviewing skill repositories, or contributing improvements to open-source skills.

Overview

Publisherdaymade
Repositoryclaude-code-skills
Skill nameskill-reviewer
Stars
1.4K
Forks
219
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by daymade on GitHub. Read the source before you install it.

Installation

Install the Skill Reviewer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/daymade/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/daymade-skill/skill-reviewer .claude/skills/skill-reviewer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Reviewer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Reviewer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Reviewer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill Reviewer

Review and improve Claude Code skills against official best practices.

Quick Start

Run the bundled reviewer with PyYAML declared explicitly through uv:

bash
uv run --with PyYAML python <this-skill-path>/scripts/review_skill.py <target-skill-path>
uv run --with PyYAML python <this-skill-path>/scripts/review_skill.py <target-skill-path> --json

The reviewer delegates YAML, schema, and internal-path validation to the canonical skill-creator validator bundled in the same suite. It then checks frontmatter quality, directory structure, SKILL.md size, hardcoded paths and secrets, script hygiene, subagent_type validity, and instruction-style heuristics.

Interpret exit codes as follows: 0 = clean, 1 = warnings only, 2 = review errors, 3 = invocation or runtime failure. Codes 1 and 2 describe the target skill; code 3 means the reviewer could not complete a trustworthy review.

Use the sibling skill-creator scripts for the deeper security scan and packaging checks.

Three Modes

Mode 1: Self-Review

Check your own skill before publishing.

Automated review:

bash
uv run --with PyYAML python <this-skill-path>/scripts/review_skill.py <target-skill>

Extended security validation:

bash
# Security scan
uv run python <this-skill-path>/../skill-creator/scripts/security_scan.py <target-skill> --verbose

Manual evaluation: See references/evaluation_checklist.md.

Mode 2: External Review

Evaluate someone else's skill repository.

Review Workflow:
- [ ] Clone repository to /tmp/
- [ ] Read ALL documentation first
- [ ] Identify author's intent
- [ ] Run evaluation checklist
- [ ] Generate improvement report

Mode 3: Auto-PR

Fork, improve, and submit PR to external skill repository.

Auto-PR Workflow:
- [ ] Fork repository (gh repo fork)
- [ ] Create feature branch
- [ ] Apply additive improvements only
- [ ] Self-review: respect check passed?
- [ ] Create PR with detailed explanation

Evaluation Checklist (Quick)

CategoryCheckStatus
Frontmattername present?
description present?
description in third-person?
includes trigger conditions?
Instructionsimperative form?
under 500 lines?
workflow pattern?
Resourcesno hardcoded paths?
scripts have error handling?

Full checklist: references/evaluation_checklist.md

Core Principle: Additive Only

When improving external skills, NEVER:

  • Delete existing files
  • Remove functionality
  • Change primary language
  • Rename components

ALWAYS:

  • Add new capabilities
  • Preserve original content
  • Explain every change
❌ "Removed metadata.json (non-standard)"
✅ "Added marketplace.json (metadata.json preserved)"

❌ "Rewrote README in English"
✅ "Added README.en.md (Chinese preserved as default)"

Common Issues & Fixes

Issue: Description Not Third-Person

yaml
# Before
description: Browse YouTube videos and summarize them.

# After
description: Browses YouTube videos and generates summaries. Use when...

Issue: Missing Trigger Conditions

yaml
# Before
description: Processes PDF files.

# After
description: Extracts text from PDFs. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.

Issue: No Workflow Pattern

Add checklist for complex tasks:

markdown
## Workflow

Copy this checklist:

\`\`\`
Task Progress:
- [ ] Step 1: ...
- [ ] Step 2: ...
\`\`\`

Issue: Missing Marketplace Support

Adding or validating marketplace.json (plugin boundaries, source/skills layout, whether skills are independently toggleable) is the marketplace-dev skill's domain — don't author it from a template here. Invoke daymade-claude-code:marketplace-dev, then follow its workflow and its cache and source patterns reference.

PR Guidelines

When submitting PRs to external repos:

Tone

❌ "Your skill doesn't follow best practices"
✅ "This PR aligns with best practices for better discoverability"

❌ "Fixed the incorrect description"
✅ "Improved description with trigger conditions"

Required Sections

  1. Summary - What this PR does
  2. What's NOT Changed - Show respect for original
  3. Rationale - Why each change helps
  4. Test Plan - How to verify

Template: references/pr_template.md

Self-Review Checklist

Before submitting any PR:

Respect Check:
- [ ] No files deleted?
- [ ] No functionality removed?
- [ ] Original language preserved?
- [ ] Author's design decisions respected?
- [ ] All changes are additive?
- [ ] PR explains the "why"?

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Reviewer AI skill do?

Reviews and improves Claude Code skills against official best practices. Supports three modes - self-review (validate your own skills), external review (evaluate others' skills), and auto-PR (fork, improve, submit). Use when checking skill quality, reviewing skill repositories, or contributing improvements to open-source skills.

Why use Skill Reviewer on TypingMind?

Because you install it once and use it with any model. Skill Reviewer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Reviewer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/daymade/claude-code-skills/tree/main/daymade-skill/skill-reviewer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Reviewer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Reviewer?

As many as you like. As long as a model supports skills, you can use Skill Reviewer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Reviewer AI skill free?

Yes. It is published on GitHub by daymade under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇