Claude Skill
maxvaega/skillkit
SkillKit是一个用于在AI智能体中实现Claude Skill功能的Python库。通过结构化技能扩展智能体能力,兼容LangChain和提示工程工作流。
概览
仓库信息
安装这个 Skill
pip install skillkitRegistry 信息
pip install skillkitpip install skillkit[langchain]pip install skillkit[all]pip install skillkit[dev]
项目简介
一个用于在AI智能体中实现Claude Skill功能的Python库,通过结构化技能集成增强智能体能力。
Implementing Skills functionality for your agents
要点
- 实现Claude Skill功能
- 专为AI智能体集成设计
- 基于Python的开发框架
- 结构化技能管理系统
- 兼容LangChain生态系统
使用场景
- 构建基于Claude的AI智能体
- 通过技能扩展智能体能力
- 创建模块化AI应用
- 开发提示工程工具
- 将技能集成到LangChain工作流中
README 摘要
<div align="center"> <h1 align="center" style="font-size:4em">skillkit</h1> </div> <p align="center" style="max-width:80%; margin-bottom:40px">Enables Anthropic's Agent Skills functionality to any python agent, unleashing LLM-powered agents to <b>autonomously discover and utilize packaged expertise</b> in a token-efficient way. skillkit is compatible with existings skills (SKILL.md), so you can browse and use any skill available on the web</p> <p align="center"> <a href="https://www.python.org/downloads/"> <img src="https://img.shields.io/badge/python-3.10%2B-blue" /></a> <a href="https://opensource.org/licenses/MIT"> <img src="https://img.shields.io/badge/License-MIT-yellow.svg" /></a> <a href="https://pypi.org/project/skillkit/"> <img src="https://img.shields.io/pypi/v/skillkit" /></a> <a href="ttps://github.com/maxvaega/skillkit/releases"> <img src="https://img.shields.io/github/v/release/maxvaega/skillkit" /></a> <a href="https://github.com/maxvaega/skillkit/stargazers"> <img src="https://img.shields.io/github/stars/maxvaega/skillkit" /></a> </p> <div align="center"> <img src="https://i.imgflip.com/addac0.jpg" title="skillkit for developers" width=370px height=250px/> </div> --- ## Features - **Fully compatible with existing skills**: existing skills can be copied directly, no change needed - **Framework-free**: can be used without any framework, or with other frameworks (currently only compatible with LangChain - more coming in the future!) - **Model-agnostic**: Works with any LLM - **Multi-source skill discovery**: From project, Anthropic config, plugins, and custom directories with priority-based conflict resolution - **YAML frontmatter parsing** with comprehensive validation - **Progressive disclosure pattern** (metadata-first loading, 8