jaechang-hits/SciAgent-Skills

README preview

# SciAgent-Skills

<p align="center">
  <img src="https://img.shields.io/badge/skills-197-blue?style=for-the-badge" alt="197 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** — 197 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>

View full repository on GitHub →