jaechang-hits/SciAgent-Skills

Registry

Summary

SciAgent-Skills is a comprehensive open-source library of 197 bioinformatics and life science skills designed for Claude Code and AI agents. It achieves 92.0% accuracy on BixBench and covers RNA-seq, single-cell analysis, drug discovery, proteomics, and more, powering the OmicsHorizon platform.

Key features

• 197 ready-to-use skills for bioinformatics and life sciences
• 92.0% accuracy on BixBench benchmark
• Covers RNA-seq, single-cell, drug discovery, proteomics, and genomics
• Designed for Claude Code and AI agent integration
• Open-source and community-driven development

Use cases

• Automating RNA-seq data analysis pipelines
• Single-cell transcriptomics processing and interpretation
• Drug discovery and cheminformatics workflows
• Proteomics and genomics data mining
• Enhancing AI agent capabilities in life science research

README excerpt

# 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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