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agents-md-generator

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AGENTS.md Generator

Generate hierarchical AGENTS.md structures optimized for AI coding agents with minimal token usage.

Core Principles

  1. Root AGENTS.md is LIGHTWEIGHT - Only universal guidance, links to sub-files (~100-200 lines max)
  2. Nearest-wins hierarchy - Agents read closest AGENTS.md to file being edited
  3. JIT indexing - Provide paths/globs/commands, NOT full content
  4. Token efficiency - Small, actionable guidance over encyclopedic docs
  5. Sub-folder files have MORE detail - Specific patterns, examples, commands

Workflow

Phase 1: Repository Analysis

Analyze and report:

  1. Repository type: Monorepo, multi-package, or simple?
  2. Tech stack: Languages, frameworks, key tools
  3. Major directories needing own AGENTS.md:
    • Apps (apps/web, apps/api, apps/mobile)
    • Services (services/auth, services/transcribe)
    • Packages (packages/ui, packages/shared)
    • Workers (workers/queue, workers/cron)
  4. Build system: pnpm/npm/yarn workspaces? Turborepo? Lerna?
  5. Testing setup: Jest, Vitest, Playwright, pytest?
  6. Key patterns: Organization, conventions, examples, anti-patterns

Present as structured map before generating files.

Phase 2: Root AGENTS.md

Create lightweight root (~100-200 lines):

# Project Name

## Project Snapshot
[3-5 lines: repo type, tech stack, note about sub-AGENTS.md files]

## Root Setup Commands
[5-10 lines: install, build all, typecheck all, test all]

## Universal Conventions
[5-10 lines: code style, commit format, branch strategy, PR requirements]

## Security & Secrets
[3-5 lines: never commit tokens, .env patterns, PII handling]

## JIT Index
### Package Structure
- Web UI: `apps/web/` -> [see apps/web/AGENTS.md](apps/web/AGENTS.md)
- API: `apps/api/` -> [see apps/api/AGENTS.md](apps/api/AGENTS.md)

### Quick Find Commands
- Search function: `rg -n "functionName" apps/** packages/**`
- Find component: `rg -n "export.*ComponentName" apps/web/src`
- Find API routes: `rg -n "export const (GET|POST)" apps/api`

## Definition of Done
[3-5 lines: what must pass before PR]

Phase 3: Sub-Folder AGENTS.md

For each major package, create detailed AGENTS.md:

# Package Name

## Package Identity
[2-3 lines: what it does, primary tech]

## Setup & Run
[5-10 lines: install, dev, build, test, lint commands]

## Patterns & Conventions
[10-20 lines - MOST IMPORTANT SECTION]
- File organization rules
- Naming conventions
- Examples with actual file paths:
  - DO: Use pattern from `src/components/Button.tsx`
  - DON'T: Class components like `src/legacy/OldButton.tsx`
  - Forms: Copy `src/components/forms/ContactForm.tsx`
  - API calls: See `src/hooks/useUser.ts`

## Key Files
[5-10 lines: important files to understand package]
- Auth: `src/auth/provider.tsx`
- API client: `src/lib/api.ts`
- Types: `src/types/index.ts`

## JIT Index Hints
[5-10 lines: search commands for this package]
- Find component: `rg -n "export function .*" src/components`
- Find hook: `rg -n "export const use" src/hooks`
- Find tests: `find . -name "*.test.ts"`

## Common Gotchas
[3-5 lines if applicable]
- "Auth requires NEXT_PUBLIC_ prefix for client-side"
- "Always use @/ imports for absolute paths"

## Pre-PR Checks
[2-3 lines: copy-paste command]
pnpm --filter @repo/web typecheck && pnpm --filter @repo/web test

Phase 4: Special Templates

Design System / UI Package

## Design System
- Components: `packages/ui/src/components/**`
- Use design tokens from `packages/ui/src/tokens.ts`
- Component gallery: `pnpm --filter @repo/ui storybook`
- Examples:
  - Buttons: `packages/ui/src/components/Button/Button.tsx`
  - Forms: `packages/ui/src/components/Input/Input.tsx`

Database / Data Layer

## Database
- ORM: Prisma / Drizzle / TypeORM
- Schema: `prisma/schema.prisma`
- Migrations: `pnpm db:migrate`
- Connection: via `src/lib/db.ts` singleton
- NEVER run migrations in tests

API / Backend Service

## API Patterns
- REST routes: `src/routes/**/*.ts`
- Auth middleware: `src/middleware/auth.ts`
- Validation: Zod schemas in `src/schemas/**`
- Errors: `ApiError` from `src/lib/errors.ts`
- Example: `src/routes/users/get.ts`

Testing

## Testing
- Unit: `*.test.ts` colocated
- Integration: `tests/integration/**`
- E2E: `tests/e2e/**` (Playwright)
- Single test: `pnpm test -- path/to/file.test.ts`
- Mocks: `src/test/mocks/**`

Output Format

Provide files in order:

  1. Analysis Summary
  2. Root AGENTS.md (complete)
  3. Each Sub-Folder AGENTS.md (with file path)

Format:

---
File: `AGENTS.md` (root)
---
[content]

---
File: `apps/web/AGENTS.md`
---
[content]

Quality Checklist

Before generating, verify:

  • Root AGENTS.md under 200 lines
  • Root links to all sub-AGENTS.md files
  • Each sub-file has concrete examples (actual paths)
  • Commands are copy-paste ready
  • No duplication between root and sub-files
  • JIT hints use actual patterns (ripgrep, find, glob)
  • Every "DO" has real file example
  • Every "DON'T" references real anti-pattern
  • Pre-PR checks are single commands

Source

git clone https://github.com/uts58/my-random-skills/blob/main/agents-md-generator/SKILL.mdView on GitHub

Overview

Generates lightweight AGENTS.md structures optimized for AI coding agents. It analyzes the repository to propose a Root AGENTS.md and per-folder sub-files, using a nearest-wins hierarchy and JIT indexing, keeping documentation tiny yet actionable.

How This Skill Works

Phase 1 analyzes repository type, tech stack, and major directories to map where AGENTS.md is needed. Phase 2 generates a lightweight Root AGENTS.md of about 100-200 lines with setup commands, universal conventions, and security notes. Phase 3 creates detailed subfolder AGENTS.md for each major package with file patterns, examples, and JIT search hints. The result is token-efficient guidance that directs AI agents without embedding full code.

When to Use It

  • Create AGENTS.md files across a codebase to standardize AI-friendly docs
  • Analyze a repository to determine which directories need AGENTS.md
  • Set up AI-friendly project documentation with concise guidance
  • Generate context files for AI coding assistants to read during edits
  • Respond to triggers like create AGENTS.md, generate agents, or hierarchical agents

Quick Start

  1. Step 1: Run the AGENTS.md generator on your repository
  2. Step 2: Review Phase 1 output and tailor sections for your repo
  3. Step 3: Commit and link root and subfolder AGENTS.md files

Best Practices

  • Begin with a lightweight root AGENTS.md (~100-200 lines) linking to sub-files
  • Keep sub-folder AGENTS.md detailed where it matters most
  • Provide concrete file paths, globs, and commands instead of full content
  • Use a nearest-wins approach to minimize documentation drift
  • Review and update AGENTS.md as the codebase evolves and add new dirs

Example Use Cases

  • Onboarding a new repo by generating root and per-package AGENTS.md
  • Monorepo with apps, services, and packages gets hierarchical docs
  • AI-assisted documentation setup for legacy projects
  • Project-wide context files generated for AI coding assistants
  • AGENTS.md scaffolding integrated into PR checks

Frequently Asked Questions

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