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Agent Skill

Discover and install 110,000+ AI agent skills for Claude Code, Cursor, Copilot & more. Enhance AI tools easily with Agent Skill.

Agent Skill

What is Agent Skill?

What is Agent Skill?

Agent Skill is a dynamic and ever-expanding directory designed to empower AI users by providing access to a massive collection of skills that can be integrated with their favorite AI tools. With over 110,000 skills available, Agent Skill acts as a central hub for discovering, installing, and managing functionalities that extend the capabilities of AI agents. Whether you're working with Claude Code, Cursor, Copilot, Windsurf, Zed, or over 20 other popular AI platforms, Agent Skill offers a streamlined way to enhance your workflow and productivity.

The core mission of Agent Skill is to democratize access to advanced AI functionalities. Instead of requiring complex coding or configuration, users can install any skill with a simple command, such as /learn/learn @owner/skill-name. This ease of use makes powerful AI extensions accessible to a broader audience, from developers and engineers to product managers and designers. The directory is meticulously organized by category, allowing users to quickly find skills relevant to their specific needs, be it in development, operations, data analysis, marketing, or customer support.

Key Features

  • Vast Skill Library: Access to over 110,000 skills for a wide range of AI tools.
  • Broad Tool Compatibility: Supports popular AI tools including Claude Code, Cursor, Copilot, Windsurf, Zed, and many more.
  • One-Command Installation: Simplify skill integration with a straightforward /learn/learn @owner/skill-name command.
  • Categorized Directory: Skills are organized into numerous categories like Development & Engineering, Operations, Data & Analytics, Product Management, and Marketing for easy discovery.
  • Trending, Hot, and Latest Skills: Easily identify popular and newly added skills.
  • Detailed Skill Information: Each skill listing includes its owner, name, version, popularity metrics, description, and security audit information.
  • Security Audits: Provides security scores and details for each skill, ensuring a safer integration experience.
  • Community Driven: Features skills developed and shared by the community, fostering innovation and collaboration.

How to Use Agent Skill

Getting started with Agent Skill is designed to be as simple as possible:

  1. Discover Skills: Browse the Agent Skill directory on the website. You can explore by category, search for specific keywords, or check out trending, hot, and latest skills.
  2. Identify Your Needs: Find a skill that matches your desired functionality. For example, if you need to manage GitHub issues, you might search for gh-issues.
  3. Install the Skill: Once you've found the right skill, use the provided installation command. For instance, to install the sherpa-onnx-tts skill by openclaw, you would typically use a command like /learn/learn @openclaw/sherpa-onnx-tts within your compatible AI tool.
  4. Activate and Use: After installation, the skill can be activated according to its specific usage instructions, often triggered by keywords or specific commands within your AI agent.

For example, to use the gh-issues skill for managing GitHub issues, you might run a command like /gh-issues [owner/repo] [--label bug] [--limit 5]. Always refer to the individual skill's description for precise activation and usage details.

Use Cases

Agent Skill is versatile and can be applied across numerous domains:

  • Software Development: Developers can install skills for code generation, debugging, code review, automated testing, and managing GitHub repositories directly within their AI coding environments.
  • Operations & DevOps: System administrators and operations teams can leverage skills for monitoring, log analysis, deployment automation, and managing cloud infrastructure.
  • Data Science & Analytics: Data analysts can find skills for data cleaning, visualization, model training, and report generation, streamlining the data analysis pipeline.
  • Product Management: Product managers can use skills to assist with market research, user feedback analysis, documentation writing, and project tracking.
  • Customer Support: Support teams can integrate skills that help analyze customer tickets, draft responses, and manage knowledge bases, improving response times and quality.

FAQ

Q1: What AI tools are supported by Agent Skill?

A1: Agent Skill supports a wide range of AI tools, including but not limited to Claude Code, Cursor, Copilot, Windsurf, Zed, Codex, Gemini CLI, and ACP harness. The directory is continuously updated with new integrations.

Q2: How do I know if a skill is safe to install?

A2: Each skill in the directory comes with a security score and audit details. We recommend reviewing this information before installation. Skills with higher scores and fewer reported issues are generally safer.

Q3: Can I suggest a new skill or report an issue with an existing one?

A3: Agent Skill is community-driven. While the platform itself doesn't directly list contribution methods, the skills are often open-source. You can typically find links to the skill's repository (e.g., GitHub) on its listing page, where you can contribute or report issues.

Q4: Is there a cost associated with using Agent Skill or the skills listed?

A4: The Agent Skill directory itself is a free resource for discovery. The skills listed are often open-source and free to use. However, some skills might rely on external services or APIs that could have their own associated costs.

Q5: How often is the directory updated?

A5: The directory is frequently updated with new skills and information about existing ones. The popularity metrics and security audits are also regularly refreshed to provide the most current data.