agentskills

    agentskills/agentskills

    #148 this week

    Specification and documentation for Agent Skills

    backend
    agent-skills
    Python
    Apache-2.0
    23.0K stars
    1.6K forks
    23.0K GitHub watchers
    Updated 7/13/2026
    View on GitHub

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    Use Cases & Benefits

    • Defines a standardized, open format for packaging AI agent capabilities as reusable skills with metadata, instructions, and resources.
    • Enables AI agents to dynamically load and execute specialized knowledge and workflows with minimal context overhead.
    • Use for extending AI agents with domain-specific expertise like legal review or data analysis workflows.
    • Use for creating repeatable, auditable multi-step procedures that agents can perform consistently across tasks.
    • Use for building portable, version-controlled skill packages that work across multiple skills-compatible AI tools.

    About agentskills

    Agent Skills

    Discord

    A standardized way to give AI agents new capabilities and expertise.

    What are Agent Skills?

    Agent Skills are a lightweight, open format for extending AI agent capabilities with specialized knowledge and workflows.

    At its core, a skill is a folder containing a SKILL.md file. This file includes metadata (name and description, at minimum) and instructions that tell an agent how to perform a specific task. Skills can also bundle scripts, reference materials, templates, and other resources.

    my-skill/
    ├── SKILL.md          # Required: metadata + instructions
    ├── scripts/          # Optional: executable code
    ├── references/       # Optional: documentation
    ├── assets/           # Optional: templates, resources
    └── ...               # Any additional files or directories
    

    Why Agent Skills?

    Agents are increasingly capable, but often don't have the context they need to do real work reliably. Skills solve this by packaging procedural knowledge and company-, team-, and user-specific context into portable, version-controlled folders that agents load on demand. This gives agents:

    • Domain expertise: Capture specialized knowledge — from legal review processes to data analysis pipelines to presentation formatting — as reusable instructions and resources.
    • Repeatable workflows: Turn multi-step tasks into consistent, auditable procedures.
    • Cross-product reuse: Build a skill once and use it across any skills-compatible agent.

    How do Agent Skills work?

    Agents load skills through progressive disclosure, in three stages:

    1. Discovery: At startup, agents load only the name and description of each available skill, just enough to know when it might be relevant.

    2. Activation: When a task matches a skill's description, the agent reads the full SKILL.md instructions into context.

    3. Execution: The agent follows the instructions, optionally executing bundled code or loading referenced files as needed.

    Full instructions load only when a task calls for them, so agents can keep many skills on hand with only a small context footprint.

    Where can I use Agent Skills?

    Agent Skills are supported by a large number of AI tools and agentic clients — see the Client Showcase to explore some of them!

    Getting started

    Open development

    The Agent Skills format was originally developed by Anthropic, released as an open standard, and has been adopted by a growing number of agent products. The standard is open to contributions from the broader ecosystem — see CONTRIBUTING.md for how to get involved.

    License

    Code in this repository is licensed under Apache 2.0. Documentation is licensed under CC-BY-4.0. See individual directories for details.

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