Claude Skill

sentient-agi/EvoSkill

EvoSkill 是一个开源 Python 框架，能够从失败的轨迹中自动发现并合成可复用的智能体技能，从而提升编码智能体的性能。

概览

Stars993
Forks108
语言Python
最后更新2026-06-26
最近同步2026-07-03
前往 GitHub

仓库信息

拥有者sentient-agi
仓库EvoSkill
完整名称sentient-agi/EvoSkill
Repo ID1,172,896,941
GitHub 地址https://github.com/sentient-agi/EvoSkill

安装这个 Skill

pip install -e .
GitHub

Registry 信息

类型codex_skill
质量分85/100
验证状态readme_parsed
最近验证2026-06-05
平台
ClaudeCodex
能力
memorysearchimageterminal
识别文件
README.mddocsexamplespyproject.tomltests
配置键
ANTHROPIC_API_KEYOPENAI_API_KEYOPENROUTER_API_KEYLLM_API_KEYDAYTONA_API_KEY
安装方式
  • pip install -e .
  • pip install harbor # Harbor (containerized benchmarks)
  • pip install harbor # install the Harbor CLI
  • pip install daytona

项目简介

EvoSkill 是一个开源框架，能够从失败的轨迹中自动发现并合成可复用的智能体技能，从而提升编码智能体的性能。

英文描述

EvoSkill — An open-source framework that automatically discovers and synthesizes reusable agent skills from failed trajectories to improve coding agent performance.

要点

  • 从失败的智能体轨迹中自动发现可复用技能
  • 合成新技能以提升编码智能体的性能
  • 基于 Python 构建的开源框架
  • 无需人工干预即可实现智能体的迭代改进

使用场景

  • 通过从过去的失败中学习来提升编码智能体的准确性
  • 为软件开发智能体构建可复用技能库
  • 在持续集成流水线中自动化智能体技能发现
  • 增强自主代码生成与调试工作流

README 摘要

<div align="center"> <img src="./assets/evoskill_logo.png" alt="alt text" width="80%"/> <br> <h1>EvoSkill: Automated Skill Discovery for Coding Agents</h1> </div> <p align="center"> <a href="https://www.alphaxiv.org/abs/2603.02766"><img src="https://img.shields.io/badge/Paper-f73c6f?style=for-the-badge" alt="Paper"></a> <a href="https://www.sentient.xyz/blog/evoskill-automated-skill-induction-from-agent-failures"><img src="https://img.shields.io/badge/Blog-f73c6f?style=for-the-badge" alt="Blog"></a> <a href="https://sentient.xyz"><img src="https://img.shields.io/badge/Built%20by-Sentient%20Labs-f73c6f?style=for-the-badge" alt="Built by Sentient Labs"></a> <a href="https://x.com/SentientAGI"> <img src="https://img.shields.io/badge/-SentientAGI-grey?logo=x&style=for-the-badge"/> <a href="https://github.com/sentient-agi/EvoSkill/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-Apache 2.0-007ec6?style=for-the-badge" alt="License: Apache 2.0"></a> </p> <b>Turn your general AI agents into state-of-the-art specialists with a benchmark and EvoSkill, a toolkit for automatically creating and improving AI skills, compatible with Claude Code, Codex CLI, OpenCode, OpenHands, Goose, Harbor, and more.</b> <b>EvoSkill</b> significantly extends the feedback-driven idea of <b>[GEPA](https://github.com/sentient-agi/gepa-plus)</b> from single-file optimization to complete agent evolution. Instead of only revising one prompt in place like GEPA, EvoSkill proposes multiple skill and prompt mutations jointly, evaluates new variants on held-out data, and has each iteration produce an entirely new agent program. <p align="center"> <img src="./assets/examples.png" alt="EvoSkill Architecture" style="width: 75%;"> </p> Install in seconds, then run `evo

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拥有者: sentient-agi语言: Python

数据来自 GitHub，同步时间：2026-07-03