Awesome Agent Skills: Curated Skills for AI Coding Assistants
Awesome Agent Skills is a meticulously curated collection of over 1,100 agent skills designed to work across 8+ AI coding assistants. From official skills by Anthropic, Google, Stripe, and Vercel to community-contributed automation workflows, this repository serves as the definitive directory for anyone looking to supercharge their AI-assisted development.
The Skills Ecosystem
The ecosystem revolves around a simple but powerful concept: skills are portable, declarative instructions that any compatible AI coding assistant can load and execute. Rather than writing prompts from scratch each time, skills encapsulate domain expertise, coding patterns, and workflow automation into reusable packages.
Official Skills
The repository features official skills from major technology companies:
| Provider | Skills | Focus Area |
|---|---|---|
| Anthropic | Claude Code skills | AI coding best practices |
| Gemini CLI skills | Search, grounding, AI workflows | |
| Stripe | Payment integration | API design, payment flows |
| Vercel | Deployment skills | v0, Next.js, deployment |
| Cloudflare | Infrastructure skills | Workers, DNS, DDoS protection |
| Netlify | Deployment skills | Site management, edge functions |
| Sentry | Error tracking | Issue resolution, performance |
| Figma | Design integration | Design-to-code, component extraction |
| Hugging Face | ML model skills | Model deployment, inference |
| Trail of Bits | Security skills | Code auditing, vulnerability analysis |
| Microsoft | Azure skills | Cloud deployment, Azure services |
| Expo | Mobile dev skills | React Native, EAS build |
| Supabase | Backend skills | Database, auth, storage |
Categories and Organization
Skills are organized into seven primary categories, each addressing a distinct aspect of the development workflow:
Development & Testing
Skills for code generation, testing frameworks, CI/CD pipelines, and development workflows. Includes skills for unit testing, integration testing, and end-to-end testing automation.
Context Engineering
Skills that help AI assistants understand project context, manage knowledge bases, and maintain awareness of codebase structure. These skills implement progressive disclosure patterns and context window optimization.
AI & Data
Skills for working with machine learning models, data pipelines, RAG systems, and AI-powered features. Covers everything from model fine-tuning to inference optimization.
Marketing
Skills for content generation, SEO optimization, social media automation, and brand consistency. These skills help automate marketing workflows while maintaining quality.
Productivity
Skills for project management, documentation generation, code review automation, and workflow optimization. Designed to reduce friction in everyday development tasks.
Security
Skills for vulnerability scanning, dependency auditing, secret detection, and security best practices. Includes skills from security-focused organizations like Trail of Bits.
n8n Automation
Skills specifically designed for the n8n workflow automation platform, enabling AI assistants to create, modify, and manage automated workflows.
Cross-Platform Compatibility
One of the most powerful aspects of awesome-agent-skills is its cross-platform compatibility. Skills work across 8+ AI coding assistants, each with its own skill directory convention:
| AI Assistant | Skill Path |
|---|---|
| Claude Code | .claude/skills/ |
| Codex | .agents/skills/ |
| Cursor | .cursor/skills/ |
| GitHub Copilot | .github/skills/ |
| Windsurf | .windsurf/skills/ |
| Gemini CLI | .gemini/skills/ |
| OpenCode | .opencode/skills/ |
| Antigravity | .agent/skills/ |
This means a single skill can be used across all supported platforms by placing it in the appropriate directory for each assistant. The repository provides clear guidance on which directories each assistant uses.
Quality Standards and Curation
The repository maintains high quality standards for skill inclusion. Every skill must meet specific criteria:
Description Requirements
- Must be written in third person (describes what the skill does, not what “you” can do)
- Must use progressive disclosure — top-level description under 100 tokens, with detailed instructions loaded on demand
- Must not contain absolute paths (use relative paths for portability)
- Must use scoped tools only (no broad system access)
Inclusion Criteria
- Skills must have real community usage — not just theoretical
- Must be actively maintained with recent updates
- Must include proper YAML frontmatter with name, description, and triggers
- Should be self-contained with no external dependencies that may break
Security Notice
The repository includes an important security notice: always review skill content before use. Skills can instruct AI assistants to perform actions on your behalf, so understanding what a skill does is essential before enabling it.
Getting Started
Adding a Skill to Your Project
- Browse the awesome-agent-skills repository to find skills relevant to your workflow
- Copy the skill’s
SKILL.mdfile to the appropriate directory for your AI assistant - The AI assistant will automatically detect and load the skill when relevant
Example: Adding a Skill for Claude Code
# Clone the repository
git clone https://github.com/VoltAgent/awesome-agent-skills.git
# Copy a skill to your project
cp -r awesome-agent-skills/skills/your-chosen-skill/ .claude/skills/
Example: Adding a Skill for Cursor
# Copy the same skill for Cursor
cp -r awesome-agent-skills/skills/your-chosen-skill/ .cursor/skills/
Contributing a Skill
The repository welcomes contributions. To add a new skill:
- Fork the repository
- Create a directory under
skills/with your skill name - Add a
SKILL.mdfile with proper YAML frontmatter - Follow the description guidelines (third-person, progressive disclosure)
- Submit a pull request following the CONTRIBUTING.md guidelines
Key Features
- 1,100+ curated skills across 7 categories
- 8+ AI assistant compatibility with standardized directory conventions
- Official skills from 13+ major technology companies
- Progressive disclosure pattern for efficient context usage
- Security-first approach with clear review guidelines
- Active community with regular contributions and updates
- MIT License for maximum flexibility
Why This Matters
The AI coding assistant landscape is rapidly evolving, with new tools emerging regularly. Awesome Agent Skills provides a unified, portable skill ecosystem that transcends any single platform. Whether you’re using Claude Code for complex refactoring, Cursor for pair programming, or Copilot for code completion, the same skills work across all of them.
This portability is particularly valuable for teams that use multiple AI assistants or are transitioning between tools. Rather than rebuilding institutional knowledge for each platform, skills provide a single source of truth that can be shared and reused.
Conclusion
Awesome Agent Skills represents a significant step toward standardizing how we share and reuse AI coding expertise. With 1,100+ skills, cross-platform compatibility, and contributions from industry leaders, it’s an essential resource for any developer working with AI coding assistants.
Check out the repository on GitHub to explore the full collection and start enhancing your AI-assisted development workflow. Enjoyed this post? Never miss out on future posts by following us 
