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Claude Md Review

CommunityPopular
wesammustafa
claude-md-review

Audit a CLAUDE.md file for the patterns that actually degrade Claude Code's output — vagueness, unnamed files, stale facts, and bloat. Use when asked to review, audit, improve, shrink, or fix a CLAUDE.md, and when a project's results feel inconsistent or Claude keeps rediscovering the same context.

Overview

Publisherwesammustafa
RepositoryClaude-Code-Everything-You-Need-to-Know
Skill nameclaude-md-review
Stars
3.3K
Forks
375
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Claude Md Review 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.
    https://github.com/wesammustafa/Claude-Code-Everything-You-Need-to-Know/tree/main/.claude/skills/claude-md-review
  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/wesammustafa/Claude-Code-Everything-You-Need-to-Know.git /tmp/Claude-Code-Everything-You-Need-to-Know
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Everything-You-Need-to-Know/.claude/skills/claude-md-review .claude/skills/claude-md-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claude Md Review 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 Claude Md Review 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 Claude Md Review 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.

CLAUDE.md Review

Audit a CLAUDE.md against the failure modes that actually cost output quality.

Premise: CLAUDE.md loads into context on every single session, so every line is either paying rent or costing you tokens on every turn forever. Most "the model isn't following instructions" problems are instruction problems.

Steps

  1. Read the target file (default ./CLAUDE.md; also check ~/.claude/CLAUDE.md and any nested **/CLAUDE.md if the project has them, since the closest one wins).
  2. Score each dimension below and quote the specific lines that fail.
  3. Output the report format at the bottom. Propose concrete rewrites, not "consider being more specific."

What to check

Specificity — the highest-leverage dimension.

  • Flag unfalsifiable directives: "write clean code", "follow best practices", "be careful", "use good naming".
  • Every rule should be checkable by reading a diff. "Refactor functions over 40 lines" is checkable; "keep functions short" is not.

Named anchors.

  • Rules that reference "the config", "our API layer", or "the usual pattern" force rediscovery every session. Replace with real paths: src/config/env.ts, src/api/client.ts.
  • Verify every path, command, and filename mentioned still exists. Report the dead ones — a CLAUDE.md pointing at a deleted file actively misleads.

Staleness.

  • Version numbers, model names, and tool commands that no longer match the repo.
  • Instructions for a framework, script, or directory that's since been removed.
  • Cross-check build/test/lint commands against package.json, Makefile, pyproject.toml, or equivalent — a wrong test command is worse than none.

Bloat and rent.

  • Anything derivable from the code itself (file tree listings, dependency lists, restating what a function does). Claude can read the repo.
  • Long procedures that only apply to one occasional task: those belong in a skill, whose body loads only when used, rather than in context on every turn.
  • Generic advice that applies to all software everywhere and therefore teaches nothing about this project.

Conflicts.

  • Rules that contradict each other, or contradict what the code actually does. Flag both sides and ask which wins.
  • Precedence surprises: a nested CLAUDE.md or ~/.claude/CLAUDE.md overriding what the author expects.

What's missing. The gaps worth calling out, if absent:

  • How to run tests, build, and lint — the three things needed to self-verify a change.
  • Non-obvious project constraints (a directory that must not be touched, a generated file, a required migration step).
  • Conventions that are genuinely surprising and not visible from a quick read of the code.

Output format

## CLAUDE.md review — <path> (<N> lines)

**Verdict:** <one sentence>

### Blocking
- L<n>: <quoted line> → <concrete rewrite>

### Worth fixing
- L<n>: <quoted line> → <concrete rewrite>

### Delete (costs context on every session, earns nothing)
- L<n>–<m>: <what and why>

### Missing
- <gap> → <suggested line to add>

**Estimated size after edits:** <N> lines (from <M>)

Rules

  • Quote real line numbers and real text. Never invent a finding to fill a section.
  • If a section has no findings, write None. — a clean file is a valid result.
  • Prefer deleting to rewriting. The best CLAUDE.md is short enough that people actually read it.
  • Do not edit the file unless asked. Report first.

Frequently asked questions

What does the Claude Md Review AI skill do?

Audit a CLAUDE.md file for the patterns that actually degrade Claude Code's output — vagueness, unnamed files, stale facts, and bloat. Use when asked to review, audit, improve, shrink, or fix a CLAUDE.md, and when a project's results feel inconsistent or Claude keeps rediscovering the same context.

Why use Claude Md Review on TypingMind?

Because you install it once and use it with any model. Claude Md Review 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 Claude Md Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wesammustafa/Claude-Code-Everything-You-Need-to-Know/tree/main/.claude/skills/claude-md-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Claude Md Review?

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 Claude Md Review?

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

Is the Claude Md Review AI skill free?

Yes. It is published on GitHub by wesammustafa 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.

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