# agentskills

**Repository Path**: devai/agentskills

## Basic Information

- **Project Name**: agentskills
- **Description**: 定义跨 AI 编程 Agent 通用的 SKILL.md 标准化格式，是整个 Skills 生态的官方标准文档、模板、参考实现总库，所有兼容工具（Claude Code、Cursor、Codex、vercel-labs/skills CLI 等）均遵循此规范开发。
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-06-18
- **Last Updated**: 2026-06-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Agent Skills

[![Discord](https://img.shields.io/badge/Discord-Join-5865F2?logo=discord&logoColor=white)](https://discord.gg/MKPE9g8aUy)

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](https://agentskills.io/clients) to explore some of them!

## Getting started

- **[Documentation](https://agentskills.io)** — Guides and tutorials
- **[Specification](https://agentskills.io/specification)** — Format details
- **[Example Skills](https://github.com/anthropics/skills)** — See what's possible
- **[Discord](https://discord.gg/MKPE9g8aUy)** — Share what you're building!

## Open development

The Agent Skills format was originally developed by [Anthropic](https://www.anthropic.com/), 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`](CONTRIBUTING.md) for how to get involved.

## License

Code in this repository is licensed under [Apache 2.0](LICENSE). Documentation is licensed under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). See individual directories for details.