by jaechang-hits · Claude Skill · ★ 202
SciAgent-Skills 196 ready-to-use scientific skills for AI coding agents — covering genomics, proteomics, drug discovery, biostatistics, scientific computing, and scientific writing. Each skill is a self-contained SKILL.md file with runnable code examples, key parameters, troubleshooting guides, and best practices. Designed for Claude Code, but compatible with any agent that reads markdown skill files. What's Inside Skill types: 72 toolkits, 53 database connectors, 36 guides, 35 pipelines Installation Prerequisites -
| Stars | 202 |
| Forks | 21 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 73.874389978355/100 |
| Open Issues | 8 |
| Last Updated | 2026-06-15 |
| Created | 2026-02-18 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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SciAgent-Skills is 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.. It is categorized as a Claude Skill with 202 GitHub stars.
SciAgent-Skills is primarily written in Python. It covers topics such as ai-agent, bioinformatics, biostatistics.
You can find installation instructions and usage details in the SciAgent-Skills GitHub repository at github.com/jaechang-hits/SciAgent-Skills. The project has 202 stars and 21 forks, indicating an active community.