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 task
• skill-architect.agent.md — Create professional SKILL.md files
• multi-agent-orchestrator.agent.md — Coordinate multiple agents
• codebase-analyst.agent.md — Codebase health analysis
• security-guardian.agent.md — Security auditing
• ml-pipeline-engineer.agent.md — ML/AI pipeline management
• devops-deployer.agent.md — Deployment and infrastructure
• ecosystem-scout.agent.md — Discover new AI tools and skills
• release-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.md files with specialized instructions