Claude Skill

zechenzhangAGI/AI-research-SKILLs

开源AI研究与工程技能库,可将Claude Skill、Codex和Gemini等模型升级为强大的AI研究代理。由Orchestra Research维护。

概览

Stars1,068
Forks87
语言TeX
最后更新2026-01-23
最近同步2026-06-04
前往 GitHub

仓库信息

拥有者zechenzhangAGI
仓库AI-research-SKILLs
完整名称zechenzhangAGI/AI-research-SKILLs
Repo ID1,088,558,237

安装这个 Skill

npx @orchestra-research/ai-research-skills

Registry 信息

类型openclaw_skill
质量分80/100
验证状态readme_parsed
最近验证2026-06-04
平台
ClaudeOpenClawCodexCursor
能力
pdfmemorysearchimageterminalworkflowaiai-researchclaudeclaude-code
识别文件
README.mddocspackage.json
配置键
URLPACKAGE_JSON
安装方式
  • npx @orchestra-research/ai-research-skills
  • npx @orchestra-research/ai-research-skills list # View installed skills
  • npx @orchestra-research/ai-research-skills update # Update installed skills

项目简介

AI-research-SKILLs 是一个全面的开源AI研究与工程技能库,旨在将Claude Skill、Codex和Gemini等AI模型升级为具备完整研究能力的AI研究代理。由Orchestra Research维护。

英文描述

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.

要点

  • 全面的AI研究技能库
  • 专为Claude Skill、Codex和Gemini模型设计
  • 开源且由社区维护
  • 将AI模型转变为研究代理
  • 涵盖研究与工程两方面

使用场景

  • 为AI模型增强研究能力
  • 构建AI研究助手
  • 开发专业研究代理
  • 工程化AI研究流程
  • 学术与工业AI研究

README 摘要

# AI Research `Skills` Library > **The most comprehensive open-source skills library enabling AI agents to autonomously conduct AI research — from idea to paper** <p align="center"> <img src="docs/assets/promo.gif" alt="AI Research Skills Demo" width="700"> </p> <p align="center"> <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT"></a> <a href="https://www.npmjs.com/package/@orchestra-research/ai-research-skills"><img src="https://img.shields.io/npm/v/@orchestra-research/ai-research-skills.svg" alt="npm version"></a> <a href="https://www.orchestra-research.com/perspectives/ai-research-skills"><img src="https://img.shields.io/badge/Blog-Read%20More-orange.svg" alt="Blog Post"></a> <a href="https://join.slack.com/t/orchestrarese-efu1990/shared_invite/zt-3iu6gr8io-zJvpkZTPToEviQ9KFZvNSg"><img src="https://img.shields.io/badge/Slack-Join%20Community-4A154B.svg?logo=slack" alt="Slack"></a> <a href="https://x.com/orch_research"><img src="https://img.shields.io/badge/Twitter-Follow-1DA1F2.svg?logo=x" alt="Twitter"></a> <a href="https://www.linkedin.com/company/orchestra-research/"><img src="https://img.shields.io/badge/LinkedIn-Follow-0A66C2.svg?logo=linkedin" alt="LinkedIn"></a> </p> <div align="center"> ### **98 Skills Powering AI Research in 2026** </div> <details> <summary><b>View All 23 Categories</b></summary> <div align="center"> | | | | |:---:|:---:|:---:| | **Autoresearch** (1) | **Ideation** (2) | **ML Paper Writing** (2) | | **Model Architecture** (5) | **Fine-Tuning** (4) | **Post-Training** (8) | | **Distributed Training** (6) | **Optimization** (6) | **Inference** (4) | | **Tokenization** (2) | **Data Processing** (2) | **Evaluation** (3) | | **Safety & Alignment**

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数据来自 GitHub,同步时间:2026-06-04