Claude Skill

InternScience/Awesome-Scientific-Skills

Awesome-Scientific-Skills is an open, curated collection of Agent Skills for scientific research. Clone, use, and extend modular skills to accelerate scientific discovery and data analysis.

Overview

Stars466
Forks31
LanguageUnknown
Last pushed2026-05-26
Last synced2026-07-03
View on GitHub

Repository

OwnerInternScience
RepositoryAwesome-Scientific-Skills
Full nameInternScience/Awesome-Scientific-Skills
Repo ID1,171,290,857

Install this Skill

git clone https://github.com/InternScience/Awesome-Scientific-Skills.git

Registry

Typemcp_server
Quality score65/100
Verificationreadme_parsed
Last verified2026-06-12
Platforms
ClaudeMCPOpenClawCodexCursor
Capabilities
code-reviewpdfmemorysearchterminalworkflowagent-skillsawesome-listopenclaw-skillsscientific-data

Summary

Awesome-Scientific-Skills is an open, curated collection of Agent Skills designed for scientific research. It provides reusable, modular skills that can be cloned, used, and extended to accelerate scientific discovery and data analysis.

Chinese description

一个开放、精选的科研Agent技能集合——克隆它、使用它、扩展它!

Key features

  • Open and curated collection of scientific Agent Skills
  • Modular and reusable skill components
  • Designed for scientific data and discovery workflows
  • Easy to clone, use, and extend
  • Community-driven with active updates

Use cases

  • Automating scientific data analysis pipelines
  • Building AI agents for literature review and hypothesis generation
  • Enhancing reproducibility in research workflows
  • Rapid prototyping of scientific discovery tools
  • Educational use for learning agent-based research methods

README excerpt

<div align="center"> # Awesome Scientific Skills **An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it.** **中文说明 / Chinese README:** [readme_CN.md](readme_CN.md) ### **Latest News** - We open-sourced [Skiller](https://github.com/qishisuren123/skiller.git) — an automated tool that turns conversation logs or plain-text requirements into standards-compliant skill packages. - We released [skill-metric](https://github.com/ddd9898/skill-metric) — a skills evaluation framework that screens high-quality skill repos across three dimensions. Results can also be found in /skills-metric. [![Awesome](https://awesome.re/badge-flat2.svg)](https://awesome.re) ![Skills](https://img.shields.io/badge/skills-curated-blue?style=flat-square) ![License](https://img.shields.io/badge/license-MIT-green?style=flat-square) ![Last Commit](https://img.shields.io/github/last-commit/InternScience/Awesome-Scientific-Skills?style=flat-square) <a href="fig.jpg"><img src="fig.jpg" alt="Awesome Scientific Skills figure" width="920" /></a> ⭐ **Star us on GitHub! Your support means the world to us!** 🙏😊 [Why this repo?](#why-this-repo) · [Skill Sources](#skill-sources) · [Categories](#scientific-skill-categories) · [Quick Start](#quick-start) · [Contributing](#contributing) </div> --- ## The Problem Thousands of Agent Skills are scattered across official registries and community repos. A researcher who needs to run a gene ontology enrichment, draft a grant proposal, and plot dose-response curves shouldn't have to dig through 30,000+ entries to find the right three skills. And once found, they shouldn't have to wire them together from scratch. ## The Goal Build a **single, clone-ready repository** of high-quality skills selected and organized fo

Topics

Explore more

Data from GitHub. Synced on 2026-07-03