agentleFS
mark2685mark2685/agent-tools/AGENTS.md

agent-tools

AGENTS.md0 starsChanged 5 months agoMITView on GitHub

agent-tools is a curated collection of agentic tooling — skills, agents, rules, and hooks — for AI coding agents. Users install individual skills via the skills CLI, or install full project bundles via git clone + copy. Assets are grouped by project (e.g., skills/flow-frontend/, agents/flow-frontend/). Each project bundle has its own README (e.g., flow-frontend/README.md). No build step. All files are hand-authored markdown and YAML. Skills — <name>/SKILL.md: Agents — <name>.md: Rules — <name>.md with optional globs frontmatter (no globs =…

The file

We split this AGENTS.md into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No build step. All files are hand-authored markdown and YAML.

    line 23
  2. Very specific:

    Skill size: Keep SKILL.md under ~100 lines.

    line 62
  3. Very specific:

    Never: add build tooling, package.json, or generated files — this is a pure content repository

    line 79

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

AGENTS.md

This file provides guidance to AI coding agents working in this repository.

Overview

agent-tools is a curated collection of agentic tooling — skills, agents, rules, and hooks — for AI coding agents. Users install individual skills via the skills CLI, or install full project bundles via git clone + copy.

Repository Structure

skills/           # Skills — slash-command workflows (SKILL.md files)
agents/           # Agents — specialized personas with tool restrictions
rules/            # Rules — always-active convention enforcement
hooks/            # Hooks — pre/post tool-use configurations
flow-frontend/    # Per-project bundle README and onboarding docs

Assets are grouped by project (e.g., skills/flow-frontend/, agents/flow-frontend/). Each project bundle has its own README (e.g., flow-frontend/README.md).

Commands

No build step. All files are hand-authored markdown and YAML.

# Validate YAML frontmatter in all SKILL.md files
grep -r '^---' skills/ --include='SKILL.md'

# List all skills, agents, rules
find skills/ -name 'SKILL.md' | sort
find agents/ -name '*.md' | sort
find rules/ -name '*.md' | sort

File Formats

Skills — <name>/SKILL.md:

---
name: skill-name
description: "What triggers this skill and what it does"
---

Agents — <name>.md:

---
name: agent-name
description: "When to invoke this agent"
tools: Read, Glob, Grep
color: purple
---

Rules — <name>.md with optional globs frontmatter (no globs = applies to all files).

Hooks — settings.json with hooks and enabledPlugins configuration.

Conventions

  • Directory naming: kebab-case, descriptive of purpose
  • Skill size: Keep SKILL.md under ~100 lines; split into references/ if larger
  • Frontmatter: YAML only; required fields: name, description
  • No generated files: Everything is hand-authored

Maintenance Conventions

  • No hard-coded volatile facts: lists, names, versions, and inventories are read from the live source at runtime — never snapshotted into asset bodies, because they drift. Model: buf-bump reads its service targets from the root package.json and says "do not rely on a memorized list"
  • One owner per convention: every convention lives in exactly one asset; all others reference it by name, never restate it. Owners: tanstack-query (query + query-key conventions), playwright-test-quality (e2e quality bar incl. the test.fixme policy), reviewer-reporting-conventions (severity vocabulary), accessibility (WCAG criteria and levels), react-patterns (memoization policy), design-reviewer (UX-defect checklist + design rubric)
  • Cross-references use installed paths: .claude/rules/<name>.md, .claude/agents/<name>.md — never source-repo paths like rules/flow-frontend/<name>.md, which dangle after install
  • "Append a gotcha" is the default PR type: skills carry a ## Gotchas section that accretes entries from real failures — no boilerplate, no invented entries
  • Declare current vs. target: a convention asset states whether it describes how the code is today or a standard the code is moving toward

Boundaries

  • Always: validate that name and description frontmatter exist in new skills
  • Always: preserve existing file structure when adding to a project bundle
  • Never: modify files under a project bundle without understanding the target project's conventions
  • Never: add build tooling, package.json, or generated files — this is a pure content repository

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  • It worked
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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.