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Review Agents Md

Community
richtabor
review-agents-md

Creates minimal, effective AGENTS.md files using progressive disclosure. Triggers on "create agents.md", "refactor agents.md", "review my agents.md", "claude.md", or questions about agent configuration files. Also triggers proactively when a project is missing AGENTS.md.

Overview

Publisherrichtabor
Repositoryagent-skills
Skill namereview-agents-md
Stars
70
Forks
11
Bundled files
Instructions only
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 richtabor on GitHub. Read the source before you install it.

Installation

Install the Review Agents Md 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/richtabor/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/review-agents-md .claude/skills/review-agents-md
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Agents Md 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 Review Agents Md 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 Review Agents Md 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.

AGENTS.md Skill

Overview

Creates and refactors AGENTS.md files following progressive disclosure principles. Keeps files minimal and focused—avoiding the "ball of mud" that hurts agent performance.

When to Use

  • Proactively when a project has no AGENTS.md at the root — check for this when starting work in a new project
  • Creating a new AGENTS.md from scratch
  • Refactoring a bloated AGENTS.md
  • Reviewing an existing file for best practices
  • Setting up AGENTS.md for a monorepo
  • When AGENTS.md exists but CLAUDE.md is missing (should be symlinked)

Core Principles

  1. Minimal by default: Only include what's relevant to every single task
  2. Progressive disclosure: Point to separate files, external docs, or agent skills for domain-specific rules
  3. Never document file structure: It goes stale fast and poisons agent context
  4. Describe capabilities, not locations: "Auth uses JWT" not "Auth is in src/auth/"

The Instruction Budget

Frontier LLMs can follow ~150-200 instructions with reasonable consistency. Every token in AGENTS.md loads on every request, regardless of relevance. The ideal file should be as small as possible.

Why Files Get Bloated

Agent does something wrong → you add a rule → repeat hundreds of times → "ball of mud." Different developers add conflicting opinions. Nobody does a full style pass. Auto-generated files make this worse by prioritizing comprehensiveness over restraint.

Stale Docs Poison Context

Humans can be skeptical of outdated docs. Agents can't — they trust what they read on every request. File paths are especially dangerous since they change constantly. Describe capabilities and domain concepts instead.

Process

Phase 0: Detect Missing Files

Check the project root for AGENTS.md and CLAUDE.md:

  1. If neither exists, offer to create AGENTS.md and symlink CLAUDE.md to it
  2. If AGENTS.md exists but CLAUDE.md does not, create the symlink: ln -s AGENTS.md CLAUDE.md
  3. If CLAUDE.md exists but AGENTS.md does not, rename it to AGENTS.md and create a symlink: mv CLAUDE.md AGENTS.md && ln -s AGENTS.md CLAUDE.md
  4. If both exist but CLAUDE.md is not a symlink to AGENTS.md, merge any unique content into AGENTS.md, remove the standalone CLAUDE.md, and create the symlink

Phase 1: Assess Current State

For new projects:

  • Ask about the project's purpose (one sentence)
  • Ask about package manager (if not npm)
  • Ask about non-standard build commands

For existing files:

  • Read the current AGENTS.md
  • Count lines and estimate token cost
  • Identify content that belongs elsewhere

Phase 2: Apply the Essential Test

Only these belong in root AGENTS.md:

IncludeWhy
One-sentence project descriptionAnchors every agent decision
Package manager (if not npm)Prevents wrong commands
Non-standard build/test commandsSaves trial and error
Links to domain-specific docsProgressive disclosure

Everything else goes in separate files or gets deleted.

Phase 3: Identify Anti-Patterns

Flag these for removal or relocation:

  • File tree structures: Always go stale, waste tokens
  • Obvious instructions: "Write clean code", "Use meaningful names"
  • Contradictory rules: Often from multiple contributors
  • Language-specific conventions: Move to docs/TYPESCRIPT.md etc.
  • Workflow instructions: Move to docs/GIT.md or docs/TESTING.md

Phase 4: Create Progressive Disclosure Structure

For content that shouldn't be deleted:

docs/
├── TYPESCRIPT.md    # TS conventions
├── TESTING.md       # Test patterns
├── API.md           # API design rules
└── GIT.md           # Commit/PR conventions

Reference these from AGENTS.md with light-touch pointers. Keep the tone conversational — no "ALWAYS," no all-caps forcing:

markdown
For TypeScript conventions, see docs/TYPESCRIPT.md

Each file can reference the next — agents walk the tree on demand, only loading what's relevant.

Link to external docs when they're the authoritative source rather than restating them:

markdown
For database migrations, follow the Prisma migration guide.

Agent skills are another layer of progressive disclosure. Instead of embedding procedures in AGENTS.md, package them as skills the agent pulls in when needed. The root file stays focused on what and where; skills handle how.

Phase 5: Handle Monorepos

For monorepos, use nested AGENTS.md files:

Root AGENTS.md:

markdown
Monorepo for [purpose]. Uses [pnpm/yarn] workspaces.
See each package's AGENTS.md for specifics.

Package AGENTS.md (e.g., packages/api/AGENTS.md):

markdown
GraphQL API using Prisma. See docs/API_CONVENTIONS.md for patterns.

Phase 6: Output

Provide:

  1. The new/refactored AGENTS.md content
  2. Any new files created for progressive disclosure
  3. List of removed content with reasoning

Output Format

When creating a new AGENTS.md:

markdown
# [Project Name]

[One-sentence description of what this project does.]

[Package manager if not npm]

[Non-standard commands if any]

[Light-touch pointers to separate docs if needed]

Example: Minimal AGENTS.md

markdown
# Acme Dashboard

React admin dashboard for managing customer accounts and billing.

Uses pnpm. Run `pnpm check` for type checking.

For API conventions, see docs/API.md
For component patterns, see docs/COMPONENTS.md

That's 6 lines. Every token earns its place.

Refactoring Prompt

When refactoring an existing bloated file, follow these steps:

  1. Find contradictions: Identify conflicting instructions. Ask which to keep.
  2. Identify essentials: Extract only what belongs in root — project description, package manager, non-standard commands, content relevant to every task.
  3. Group the rest: Organize into logical categories. Create separate files.
  4. Create structure: Output minimal root AGENTS.md with links to separate files.
  5. Flag for deletion: Identify instructions that are redundant, vague, or obvious.

Decision Framework

Before adding anything to AGENTS.md:

LocationWhen to use
Root AGENTS.mdRelevant to every single task
Separate fileRelevant to one domain
Nested docsFits hierarchical organization
Delete itObvious, redundant, or vague

Cross-Tool Compatibility

AGENTS.md is an open standard supported by 20+ tools including:

  • GitHub Copilot (Coding Agent)
  • Cursor
  • Codex (OpenAI)
  • Gemini CLI (Google)
  • Windsurf, Devin (Cognition)
  • Zed, Warp, VS Code
  • Aider, goose, RooCode

Claude Code uses CLAUDE.md instead. AGENTS.md is always the source of truth. CLAUDE.md must always be a symlink pointing to it:

bash
ln -s AGENTS.md CLAUDE.md

Never create a standalone CLAUDE.md. Never put content in CLAUDE.md that isn't in AGENTS.md.

Resources

Frequently asked questions

What does the Review Agents Md AI skill do?

Creates minimal, effective AGENTS.md files using progressive disclosure. Triggers on "create agents.md", "refactor agents.md", "review my agents.md", "claude.md", or questions about agent configuration files. Also triggers proactively when a project is missing AGENTS.md.

Why use Review Agents Md on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/richtabor/agent-skills/tree/main/skills/review-agents-md. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Review Agents Md?

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 Review Agents Md?

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

Is the Review Agents Md AI skill free?

It is published on GitHub by richtabor. Check the repository for licensing terms. 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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