Co-Pilot
Updated 24 days ago

agents-skill

Nnetresearch
0.0k
netresearch/agents-skill
80
Agent Score

💡 Summary

This skill generates and maintains AGENTS.md files for AI coding agents, enhancing project context.

🎯 Target Audience

Open-source developersAI tool integratorsProject maintainersTechnical writersDevOps engineers

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress). Run with least privilege and audit before enabling in production.

AGENTS.md Generator Skill

Netresearch AI skill for generating and maintaining AGENTS.md files following the agents.md specification.

What is AGENTS.md? A context file written for AI coding agents, not humans. Human readability is a side effect, not a goal. Adopted by 60,000+ open-source projects. See the official specification and best practices from 2,500+ repositories.

Standards Compliance

This skill implements two complementary standards:

  1. agents.md - The file format this skill generates. A simple Markdown convention for guiding AI coding agents, supported by Claude Code, GitHub Copilot, Cursor, and 60,000+ open-source projects.

  2. Agent Skills - How this skill is packaged and distributed. A portable format for procedural knowledge that works across AI agents.

Supported Platforms:

  • ✅ Claude Code (Anthropic)
  • ✅ Cursor
  • ✅ GitHub Copilot
  • ✅ Other skills-compatible AI agents

Features

  • Thin Root Files - ~30 lines with precedence rules and global defaults
  • Scoped Files - Automatic subsystem detection (backend/, frontend/, internal/, cmd/)
  • Auto-Extraction - Commands from Makefile, package.json, composer.json, go.mod
  • Multi-Language - Templates for Go, PHP, TypeScript, Python, and hybrid projects
  • Idempotent Updates - Preserve existing structure while refreshing content
  • Managed Headers - Mark files as agent-maintained with timestamps

Installation

Option 1: Via Netresearch Marketplace (Recommended)

claude mcp add-json netresearch-skills-bundle '{"type":"url","url":"https://raw.githubusercontent.com/netresearch/claude-code-marketplace/main/.claude-plugin/marketplace.json"}'

Then browse skills with /plugin.

Option 2: Download Release

Download the latest release and extract to ~/.claude/skills/agents/

Option 3: Composer (PHP projects)

composer require netresearch/agent-agents

Requires: netresearch/composer-agent-skill-plugin

Usage

The skill triggers on keywords like:

  • "AGENTS.md", "agents file"
  • "agent documentation", "AI onboarding"
  • "project context for AI"

Example Prompts

"Generate AGENTS.md for this project"
"Update the agents documentation"
"Create scoped AGENTS.md files for each subsystem"
"Validate AGENTS.md structure"

Supported Projects

| Type | Detection | Features | |------|-----------|----------| | Go | go.mod | Version extraction, CLI tool detection | | PHP | composer.json | TYPO3/Laravel/Symfony detection | | TypeScript | package.json | React/Next.js/Vue/Express detection | | Python | pyproject.toml | Poetry/Ruff/Django/Flask detection | | Hybrid | Multiple markers | Auto-creates scoped files per stack |

Structure

agents/
├── SKILL.md              # AI instructions
├── README.md             # This file
├── LICENSE               # GPL-2.0-or-later
├── composer.json         # PHP distribution
├── references/           # Convention documentation
├── scripts/              # Generator scripts
│   ├── generate-agents.sh
│   ├── validate-structure.sh
│   └── detect-scopes.sh
└── templates/            # Language-specific templates
    ├── go/
    ├── php/
    ├── typescript/
    └── python/

Contributing

Contributions welcome! Please submit PRs for:

  • Additional language templates
  • Detection signal improvements
  • Script enhancements
  • Documentation updates

License

GPL-2.0-or-later - See LICENSE for details.

Credits

Developed and maintained by Netresearch DTT GmbH.


Made with ❤️ for Open Source by Netresearch

5-Dim Analysis
Clarity8/10
Novelty7/10
Utility9/10
Completeness8/10
Maintainability8/10
Pros & Cons

Pros

  • Automates AGENTS.md generation
  • Supports multiple programming languages
  • Idempotent updates preserve structure
  • Integrates with popular AI tools

Cons

  • Limited to specific AI agents
  • Requires familiarity with Markdown
  • May not cover all project types
  • Dependency on external plugins for PHP

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Copyright belongs to the original author netresearch.