AGENTS.md — Cross-Platform Agent Instructions
Serves as a table of contents and usage guide for a library of 480+ prompts and 180+ agents organized across 28 categories.
What this file does
Serves as a table of contents and usage guide for a library of 480+ prompts and 180+ agents organized across 28 categories.
When to use it
- Browse available prompt categories by topic number
- Find a specialized agent file for a given task
- Understand the file naming and metadata conventions used in the repo
AGENTS.md — Cross-Platform Agent Instructions
This file provides instructions for AI agents that read AGENTS.md (GitHub Copilot, Cursor, Windsurf, Cline, Aider, OpenCode, and others).
About This Repository
This is a prompts and agents library with 480+ prompts and 180+ specialized agents for AI development. Organized in 28 thematic categories.
How to Use
Finding Prompts
Prompts are organized in library-prompts/categories/ by topic number:
| # | Category | Best For |
|---|---|---|
| 01-08 | Core Development | Planning, SQL, testing, docs, .NET, Java, Python, Azure |
| 09-15 | Agent & Workflows | Agents, Git/CI, refactoring, MCP, Power Platform, utils, blueprints |
| 16-19 | Community Prompts | OpenAI examples, Claude library, Reddit community |
| 20-24 | Specialized | Niches, prompt engineering, image gen, role-play, advanced |
| 25 | AI Skills & Agents 🆕 | SKILL.md creation, multi-agent, MCP servers, OpenSkills |
| 26 | ML/AI Models 🆕 | GPT-5.2 migration, Claude Opus 4.6, HuggingFace, LoRA |
| 27 | DevOps 🆕 | Docker Compose, GitHub Actions, Railway, IaC, security |
| 28 | Ecosystem 🆕 | SkillsMP, MCP Market, GitHub Topics, tool comparison |
Using Agents
Agents are in library-agents/ as .agent.md files. Each defines a specialized AI persona.
Key agents:
agent-selector.agent.md— Choose the right agent for any taskskill-architect.agent.md— Create professional SKILL.md filesmulti-agent-orchestrator.agent.md— Coordinate multiple agentscodebase-analyst.agent.md— Codebase health analysissecurity-guardian.agent.md— Security auditingml-pipeline-engineer.agent.md— ML/AI pipeline managementdevops-deployer.agent.md— Deployment and infrastructureecosystem-scout.agent.md— Discover new AI tools and skillsrelease-manager.agent.md— Release management
Related Repository
- garri333/Skills — 245+ reusable skills for AI agents
Conventions
- Prompts use YAML frontmatter: title, version, category, tags, author, description, language
- Use Conventional Commits:
feat:,fix:,docs:,refactor: - Agents are defined in
.agent.mdfiles with specialized instructions
What's inside
One table mapping 28 categories to topic numbers, one list of 9 key agents, plus conventions for prompts and commits.
Change this for your project
- Replace
garri333/Promtswith your own repository name - Replace
garri333/Skillswith your own related repo URL - Replace
library-prompts/categories/with your actual prompts path - Replace
library-agents/with your actual agents path
Where it goes
Save as AGENTS.md in your repository root. Read by Codex, Cursor and other agents that follow the AGENTS.md convention.
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