Claude Skill

jaechang-hits/SciAgent-Skills

SciAgent-Skills为Claude Code和AI代理提供197项开源生物信息学与生命科学技能,BixBench准确率达92.0%,涵盖RNA测序、单细胞分析、药物发现、蛋白质组学等。

概览

Stars181
Forks19
语言Python
最后更新2026-05-22
最近同步2026-06-22
前往 GitHub

仓库信息

拥有者jaechang-hits
仓库SciAgent-Skills
完整名称jaechang-hits/SciAgent-Skills
Repo ID1,160,505,943

安装这个 Skill

git clone https://github.com/jaechang-hits/SciAgent-Skills.git

Registry 信息

类型cursor_rule
质量分75/100
验证状态readme_parsed
最近验证2026-06-22
平台
ClaudeCodexCursor
能力
browsersearchvideoterminalworkflowai-agentbioinformaticsbiostatisticsbixbenchcheminformatics
识别文件
README.mdtests
安装方式
  • git clone https://github.com/jaechang-hits/SciAgent-Skills.git
  • git clone https://github.com/jaechang-hits/SciAgent-Skills.git .sciagent-skills

项目简介

SciAgent-Skills 是一个包含197项生物信息学与生命科学技能的开源库,专为Claude Code和AI代理设计。它在BixBench上达到92.0%的准确率,涵盖RNA测序、单细胞分析、药物发现、蛋白质组学等领域,为OmicsHorizon平台提供支持。

英文描述

197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.

要点

  • 197项即用型生物信息学与生命科学技能
  • 在BixBench基准测试中达到92.0%准确率
  • 涵盖RNA测序、单细胞分析、药物发现、蛋白质组学和基因组学
  • 专为Claude Code和AI代理集成设计
  • 开源且由社区驱动开发

使用场景

  • 自动化RNA测序数据分析流程
  • 单细胞转录组数据处理与解读
  • 药物发现与化学信息学工作流
  • 蛋白质组学与基因组学数据挖掘
  • 增强AI代理在生命科学研究中的能力

README 摘要

# SciAgent-Skills <p align="center"> <img src="https://img.shields.io/badge/skills-199-blue?style=for-the-badge" alt="199 Skills"> <img src="https://img.shields.io/badge/BixBench-92.0%25-brightgreen?style=for-the-badge" alt="BixBench 92.0%"> <img src="https://img.shields.io/badge/license-CC--BY--4.0-lightgrey?style=for-the-badge" alt="CC-BY-4.0"> <img src="https://img.shields.io/github/stars/jaechang-hits/SciAgent-Skills?style=for-the-badge" alt="GitHub Stars"> </p> > **Turn your AI coding agent into a life sciences expert** — 199 bioinformatics skills for Claude Code covering RNA-seq, single-cell analysis, genomics, proteomics, drug discovery, and more. Boosted [BixBench](https://github.com/Future-House/BixBench) from 65% to 92%. Open source. **SciAgent-Skills** is the largest open-source skill library for scientific AI agents. It equips [Claude Code](https://docs.anthropic.com/en/docs/claude-code) (and any markdown-compatible agent) with domain-specific knowledge for computational biology, bioinformatics, cheminformatics, and biostatistics — no fine-tuning required, just plug in and analyze. **Keywords:** bioinformatics AI agent, Claude Code skills, scientific computing, RNA-seq analysis, single-cell RNA-seq, drug discovery pipeline, protein structure prediction, computational biology tools, life science automation, BixBench benchmark ## Benchmark: 92.0% on BixBench-Verified-50 <p align="center"> <img src="assets/benchmark.png" alt="BixBench bioinformatics benchmark results — SciAgent-Skills achieves 92.0% accuracy" width="700"> </p> [BixBench](https://github.com/Future-House/BixBench) is a benchmark for evaluating AI agents on real-world bioinformatics tasks. **SciAgent-Skills achieved 92.0% accuracy** on BixBench-Verified-50, the highest among all t

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数据来自 GitHub,同步时间:2026-06-22