jaechang-hits

SciAgent Skills — Git skill for Claude Code

Git community intermediate

git clone https://github.com/jaechang-hits/SciAgent-Skills 197 life science skills for Claude Code covering genomics, proteomics, drug discovery, and more.

How to install SciAgent Skills

This entry records only its repository, not the path inside it, so there is no exact command to give. Open jaechang-hits/SciAgent-Skills and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What SciAgent Skills does

**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.

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README

SciAgent-Skills

**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

[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 tested systems:

System	BixBench-Verified-50 Accuracy
Claude Code (Opus 4.6) + SciAgent-Skills	92.0%
Claude Code (Opus 4.6) baseline	65.3%

Simply equipping Claude Code with these domain-specific skills yields a **+26.7 percentage point improvement** — no fine-tuning, no custom model, just structured scientific knowledge.

Try It Now — OmicsHorizon

Want to try these skills without any setup? **[OmicsHorizon](https://omicshorizon.ai/en/)** (오믹스 호라이즌) is the web platform powered by SciAgent-Skills. Sign up and start analyzing your bioinformatics data directly in your browser — RNA-seq, proteomics, drug screening, and more.

[](https://omicshorizon.ai/en/)

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