awesome-ai-agent-skills
seb1n · seb1n/awesome-ai-agent-skills
Offers a collection of 103 ready-to-use AI agent skills in SKILL.md format for various platforms like Claude Code and Cursor.
103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other Agent Skills-compatible tools. Complete SKILL.md workflows—not a link directory.
Preview
What you can do with it
- Quickly add pre-built skills for agent engineering to your agent.
- Explore a wide range of skills for different agent tasks like DevOps or security.
- Use starter packs to equip agents with complementary skills for production.
Safety check
No risky patterns found in the files we scanned.
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From the README
Awesome AI Agent Skills
103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other tools that support the open Agent Skills standard.
Every skill is a complete, self-contained SKILL.md workflow for agent engineering, MCP, multi-agent systems, security, coding, research, data, DevOps, documents, marketing, sales, and more—not a link to another repository.
⭐ If this library saves you time, star the repository to bookmark it and help more agent builders discover it.
Quick start · Production demo · Starter packs · Browse 103 skills · Supported agents · Contribute
Quick Start: Install Agent Skills
Use the open-source Skills CLI to choose skills and install them for your detected agents:
npx skills add seb1n/awesome-ai-agent-skills
List all available skills without installing:
npx skills add seb1n/awesome-ai-agent-skills --list
Install one skill directly:
npx skills add seb1n/awesome-ai-agent-skills --skill agent-evaluation
Install several complementary skills by repeating --skill:
npx skills add seb1n/awesome-ai-agent-skills \
--skill agent-evaluation \
--skill agent-observability \
--skill human-in-the-loop
Starter Packs
| Pack | Recommended skills |
|---|---|
| Production Agent Stack | agent-evaluation, agent-observability, tool-schema-design, human-in-the-loop, prompt-injection-defense, agent-red-teaming |
| Multi-Agent Systems | multi-agent-orchestration, mcp-server-building, agent-evaluation |
| Agent Security | prompt-injection-defense, agent-red-teaming, skill-supply-chain-audit |
| Document Work | pdf-processing, spreadsheet-analysis, presentation-creation |
Production Agent Stack Demo
Can a poisoned GitHub issue hijack a deployment agent? Run the offline demo with deterministic outcomes to compare a fragile agent boundary with a controlled stack built from six complementary skills:
python3 demos/production-agent-stack/run_demo.py --check
The committed fixtures move from 1/5 to 5/5 checks passed, with strict tool-schema, approval-policy, trust-boundary, trace-privacy, evaluation, and red-team evidence. The demo uses local mock effects only—no API keys, network requests, model calls, shell invocation, or real deployment.
Explore the Production Agent Stack demo →
What Are Agent Skills?
Agent Skills are reusable instruction packages that teach an AI agent when and how to complete a task. Each skill follows the open Agent Skills standard: a SKILL.md file with activation metadata and step-by-step guidance, plus optional scripts, references, and assets. Agents load a skill only when it is relevant, keeping context focused.
Why This Library?
Unlike collections that send you to external repositories, Awesome AI Agent Skills keeps every workflow in one inspectable, installable library.
- Ready to use: Install a single skill, a starter pack, or choose from the complete catalog.
- Cross-agent compatible: Use the same skills with Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other compatible tools.
- Validated structure: CI checks names, activation descriptions, links, duplicates, catalog synchronization, skill count, and bundled Python syntax.
- Progressive disclosure: Deeper skills bundle focused scripts, references, and assets without loading everything into context.
- Broad real-world coverage: Build agents for engineering, security, data, research, documents, compliance, finance, marketing, sales, and customer success.
- Open source: The library is MIT licensed and open to review, adaptation, and contribution.
Supported Agents
The Skills CLI detects supported agents automatically. For manual installation, copy a skill directory into the appropriate project or global path:
| Platform | Project Path | Global Path |
|---|---|---|
| Claude Code | .claude/skills/ | ~/.claude/skills/ |
| OpenAI Codex | .agents/skills/ | ~/.agents/skills/ |
| Gemini CLI | .gemini/skills/ | ~/.gemini/skills/ |
| Cursor | .cursor/skills/ | ~/.cursor/skills/ |
| GitHub Copilot | .github/skills/ | ~/.copilot/skills/ |
| Windsurf | .windsurf/skills/ | ~/.codeium/windsurf/skills/ |
Skills Index
Browse all 103 skills by category, or use the full searchable index below.
| Agent Building | Technical | Business & Knowledge |
|---|---|---|
| Agent Engineering | Code & Development | Communication |
| Agent Security | Data & Analytics | Customer Success |
| Context Engineering | Database | Finance & Accounting |
| AI/ML Operations | DevOps & Infrastructure | Legal & Compliance |
| [API & Inte |