Find open-source agent skills on GitHub. Browse repositories from Anthropic and the community, discover new capabilities for your AI coding agent, and contribute your own agent skills to the ecosystem.
658+ Agent Skills from GitHub
GitHub is the largest host for open-source agent skills. Thousands of developers publish their creations as public repositories, making GitHub the go-to platform for discovering new capabilities. When you search for agent skills on GitHub, you will find everything from simple single-file utilities to comprehensive collections with dozens of sub-skills. The ecosystem grows every day as more developers recognize the value of sharing reusable instructions for AI coding agents.
To get started, search GitHub for terms like SKILL.md, agent-skills, or claude skills. GitHub's code search is particularly useful because it lets you search inside files, so you can find repos containing properly formatted SKILL.md files. Filter by language, stars, or recent activity to narrow down results. Many agent skills repos use topic tags like agent-skills and skill-md to make discovery easier.
Beyond search, GitHub's Explore page and trending repositories surface popular agent skills repos regularly. Star counts, fork counts, and recent commit activity are reliable signals of quality. A well-maintained agent skills repository typically has clear documentation, an open license, and recent commits showing active development. Look for repos with detailed README files that explain what each skill does and how to install it.
If you are new to the concept, start with our guide on what are agent skills before diving into GitHub repositories. Understanding the SKILL.md format and how agent skills work across platforms will help you evaluate repos more effectively. Once you know what to look for, browsing agent skills on GitHub becomes second nature.
Several key repositories serve as authoritative sources for high-quality agent skills. These repos are maintained by established organizations and receive regular updates.
All of these repositories follow the open SKILL.md standard, so their agent skills work across Claude Code, Codex CLI, ChatGPT, GitHub Copilot, Cursor, and other compatible platforms. Browse curated picks from these repos in our agent skills directory.
The most starred agent skills from GitHub repositories, curated and ranked by community engagement. Each one is free, open source, and ready to install. These represent the best that the agent skills GitHub ecosystem has to offer.
Generate FFmpeg commands from natural language video editing requests - cut, trim, convert, compress, change aspect ratio, extract audio, and more.
When the user wants to add illustrations to an article or blog post. Triggers on: "illustrate article", "add images to article", "generate illustrations", "article images", or requests to visually enh...
Design and launch an autonomous AI-managed Telegram channel. Interview-driven persona creation → SOUL.md + CHANNEL.md + cron config + 3 sample posts. Ready to deploy on OpenClaw.
Generate images from text with multi-provider routing — supports Nanobanana 2, Seedream 5.0, GPT Image, and local ComfyUI workflows. Includes 1,300+ curated prompts and style-aware prompt enhancement....
Professional Figma design analysis and asset export. Use for extracting design data, exporting assets in multiple formats, auditing accessibility compliance, analyzing design systems, and generating c...
All-in-One AI creation: images (SeeDream 4.5, Midjourney, Nano Banana 2), videos (Wan 2.6, Kling, Veo 3.1, Sora, Pixverse, Hailuo, SeeDance, Vidu), music (Suno sonic, DouBao), TTS (seed-tts-2.0). Unif...
AI image generation with SeeDream 4.5, Midjourney, Nano Banana 2, Nano Banana Pro. Text-to-image, image-to-image with intelligent model selection and knowledge base support. BEFORE using: READ ima-kno...
Premier AI video generation with models: Wan 2.6, Kling O1, Kling 2.6, Google Veo 3.1, Sora 2 Pro, Pixverse V5.5, Hailuo 2.0, Hailuo 2.3, SeeDance 1.5 Pro, Vidu Q2. One-stop access across text-to-vid...
Every morning, scans Reddit, Hacker News, Indie Hackers, Stack Overflow, Quora, Hashnode, Dev.to, GitHub, and Lobsters for people actively asking for what you sell. Delivers the top 10 buying-intent l...
Upload images and videos to Xiaohongshu Creator Platform using a local MCP server with browser automation. Features enhanced title validation and improved draft saving.
Design and optimize affiliate programs with partner scoring, commission economics, tracking QA, fraud controls, and compliance reviews.
The cheapest AI media API on the market. Generate images (Flux), music (AceStep), speech with voice cloning, transcribe video/audio, OCR, video generation, background removal, upscale, style transfer,...
Publishing your own agent skills to GitHub is one of the best ways to contribute to the AI developer community. Every agent skills repository you create helps others work more efficiently. The process is straightforward: create a GitHub repo, add your SKILL.md files, write a clear README, and push. Your agent skills become instantly discoverable to developers worldwide.
When creating an agent skills repo on GitHub, start with a well-structured README that explains what your skills do, how to install them, and which platforms they support. Include a LICENSE file — MIT or Apache 2.0 are the most popular choices for open-source agent skills. Add GitHub topic tags like agent-skills, skill-md, and claude-code so others can find your repository through GitHub search.
Your README should follow best practices for an agent skills repository. Include a table or list of all skills in the repo with brief descriptions. Add installation instructions for multiple platforms (Claude Code, Codex CLI, Cursor). Show example outputs or screenshots demonstrating what each skill does. These details make your agent skills repo stand out and earn more stars on GitHub.
You can also contribute to existing agent skills repositories through pull requests. Fork the repo, create your skill following the project's contribution guidelines, add tests if applicable, and submit a PR. Major repos like anthropics/skills actively welcome community contributions. Once merged, your agent skills reach the entire user base of that repository.
Maintaining a high-quality agent skills repository on GitHub requires attention to versioning, documentation, testing, and automation. Follow these practices to build a repo that developers trust and rely on.
Search GitHub for repositories containing SKILL.md files. Use queries like "agent skills" or "SKILL.md" in the GitHub search bar. You can also browse the official Anthropic skills repository at github.com/anthropics/skills, which contains dozens of high-quality options. Many community developers also publish their agent skills repos with descriptive README files and topic tags.
Yes, contributing is encouraged. Most agent skills repositories on GitHub accept pull requests. Fork the repo, create your skill following the SKILL.md standard, write tests, and submit a PR. The official Anthropic agent skills repo and many community repos have contribution guidelines. Publishing your own agent skills repository is equally straightforward — create a new repo and add your SKILL.md files.
Most open-source agent skills on GitHub use permissive licenses like MIT or Apache 2.0. These allow others to freely use, modify, and distribute your work. MIT is the most common choice for agent skills repos because of its simplicity. Check each repository's LICENSE file before using any skill in commercial projects.
Clone or download the repository, then copy the skill directory (containing SKILL.md) to your agent's skills folder. For Claude Code, place them in ~/.claude/skills/. For Codex CLI, use .codex/skills/. You can also use git submodules to keep agent skills from GitHub repositories synced with upstream updates automatically.
GitHub is just one way to discover agent skills. Explore all the ways to find, browse, and learn about them on Claude Skills Hub.
Browse the complete collection of agent skills available on Claude Skills Hub.
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📚Complete directory organized by category, platform, and use case.
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