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README

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.

Core symbols most depended-on inside this repo

validate
called by 22
skills-ref/src/skills_ref/validator.py
read_properties
called by 9
skills-ref/src/skills_ref/parser.py
parse_frontmatter
called by 7
skills-ref/src/skills_ref/parser.py
find_skill_md
called by 6
skills-ref/src/skills_ref/parser.py
to_prompt
called by 5
skills-ref/src/skills_ref/prompt.py
_is_skill_md_file
called by 3
skills-ref/src/skills_ref/cli.py
to_dict
called by 2
skills-ref/src/skills_ref/models.py
shuffle
called by 2
docs/snippets/ClientShowcase.jsx

Shape

Function 63
Class 4
Method 2

Languages

Python88%
TypeScript12%

Modules by API surface

skills-ref/tests/test_validator.py21 symbols
skills-ref/tests/test_parser.py15 symbols
skills-ref/src/skills_ref/validator.py6 symbols
skills-ref/src/skills_ref/cli.py5 symbols
docs/snippets/ClientShowcase.jsx5 symbols
skills-ref/tests/test_prompt.py4 symbols
skills-ref/src/skills_ref/errors.py4 symbols
skills-ref/src/skills_ref/parser.py3 symbols
docs/snippets/LogoCarousel.jsx3 symbols
skills-ref/src/skills_ref/models.py2 symbols
skills-ref/src/skills_ref/prompt.py1 symbols

Dependencies from manifests, versioned

click8.0 · 1×
strictyaml1.7.3 · 1×

For agents

$ claude mcp add agentskills \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact