Standardize project documentation with AGENTS.md files.

Install

mkdir -p .claude/skills/agents-md && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/12558" && unzip -o skill.zip -d .claude/skills/agents-md && rm skill.zip

Installs to .claude/skills/agents-md

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Create or update root and nested AGENTS.md files that document scoped conventions, monorepo module maps, cross-domain workflows, and (optionally) per-module feature maps (feature -> paths, entrypoints, tests, docs). Use when the user asks for AGENTS.md, nested agent instructions, or a module/feature map.
305 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

Key capabilities

  • Create root `AGENTS.md` with cross-domain guidance and module maps.
  • Update nested `AGENTS.md` files with tech-specific instructions.
  • Document cross-domain workflows like frontend-backend API interactions.
  • Add module-level feature maps.
  • Inventory the repository to identify component roots and submodules.
  • Verify consistency of guidance across parent and child scopes.

How it works

The skill inventories the repository, drafts root and nested `AGENTS.md` files with global rules, module maps, cross-domain workflows, and tech-specific instructions, and optionally builds feature maps.

Inputs & outputs

You give it
User request for `AGENTS.md`, nested agent instructions, or a module/feature map, along with repository layout details.
You get back
Root and nested `AGENTS.md` files documenting conventions, module maps, cross-domain workflows, and optional feature maps.

When to use agents-md

  • Documenting monorepo boundaries
  • Adding module-specific instructions
  • Defining cross-domain workflows

About this skill

AGENTS.md builder

Goal

Add lightweight, scoped guidance for an AI agent (and humans) by placing AGENTS.md files at key directory boundaries:

  • root: cross-domain guidance + a module map (for monorepos)
  • nested: tech-specific instructions for each component/module
  • optional: feature maps at the module level

Optimize for concise and precise instructions (short bullets, minimal prose). Link to docs for depth.

Inputs to ask for (if missing)

  • Is this a monorepo (multiple independently-built modules) or a single project?
  • Repo layout: where backend, frontend, docs, infra live; list the major modules/subprojects.
  • Cross-domain workflows to document (e.g., frontend calling backend API, auth flow, shared types, local dev).
  • If you want feature maps: top 5-15 user-facing features (names) and which module owns them.
  • Any rules about MCP usage to capture in root AGENTS.md (allowed servers/tools, safety constraints).
  • Any hard rules (do not touch X, required commands, style rules).

Where to put AGENTS.md (heuristics)

Create AGENTS.md at:

  • repo root (global rules + module map + cross-domain workflows)
  • each major component/module root (e.g., backend/, frontend/, docs/, infra/)
  • any subdirectory that has different conventions, ownership, or high risk (payments, auth, data migrations)

Avoid placing AGENTS.md too deep unless there is a real boundary; too many files become noise.

Workflow (checklist)

  1. Inventory the repo
    • List top-level directories and build files (Gradle/Maven, Node/Next, docs site).
    • Identify the natural "component roots" and any critical submodules.
  2. Draft root AGENTS.md
    • State global rules only (things that apply everywhere).
    • If monorepo: add a module/subproject map (not a feature map) and links to each nested AGENTS.md.
    • Keep tech-specific instructions out of root; push them into the owning module's AGENTS.md.
    • Docs: do not open/read docs/ by default; consult only when asked or required.
    • Add cross-domain workflows (how modules connect): frontend <-> backend API, auth/session, contract location (OpenAPI/GraphQL), "run together" local dev.
    • Add cross-repo verification guidance: where to run per module + prereqs; quiet first run; re-run narrowed failures with verbose logs when debugging.
  3. Draft nested AGENTS.md per component
    • Put tech-specific instructions in the module that owns them:
      • Backend: how to run, test, migrate DB; key modules and entrypoints.
      • Frontend: how to run, build, test; env vars; key routes/areas.
      • Docs: docs structure, where to add ADRs/runbooks, how to preview/build docs.
  4. Build maps (as needed)
    • If monorepo: module map goes in root (use references/module-map-format.md).
    • Feature maps should live in the owning module AGENTS.md (use references/feature-map-format.md).
  5. Verify consistency
    • Ensure guidance does not conflict between parent/child scopes.
    • Keep each AGENTS.md short and actionable; move long detail into docs under docs/.

Templates

Use these templates:

  • Root + module AGENTS.md: references/agents-template.md
  • Module map format: references/module-map-format.md
  • Feature map table format (per module): references/feature-map-format.md
  • Suggested docs/ layout (Spring + Next): references/docs-structure.md

Deliverable

Provide:

  • Root AGENTS.md (if requested) with module map and cross-domain workflows.
  • Nested AGENTS.md per component/module with tech-specific guidance.
  • Optional feature map tables per module (if requested).
  • A list of files created/updated and any open questions.

When not to use it

  • When placing `AGENTS.md` too deep in the directory structure without a real boundary.
  • When including long details directly in `AGENTS.md` instead of linking to `docs/`.
  • When guidance conflicts between parent and child scopes.

Limitations

  • It avoids placing `AGENTS.md` too deep.
  • It moves long details into `docs/`.
  • It requires user input for monorepo status, layout, and feature maps.

How it compares

This skill systematically creates and updates `AGENTS.md` files at directory boundaries, providing scoped guidance for AI agents and humans, which is more structured and consistent than ad-hoc documentation.

Compared to similar skills

agents-md side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
agents-md (this skill)07moNo flagsIntermediate
deepwiki-rs259moReviewIntermediate
repo-research-analyst16moReviewIntermediate
c4-component14moNo flagsIntermediate

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