SciAgent-Skills provides a comprehensive, open-source library of 199 bioinformatics and life science skills designed to empower AI coding agents. It addresses the challenge of integrating deep domain expertise into AI workflows without requiring costly model fine-tuning, significantly boosting analytical capabilities for researchers and developers in computational biology and related fields.

How It Works

The project's core innovation lies in its structured, markdown-based skill format (SKILL.md). Each skill encapsulates runnable code, key parameters, troubleshooting guides, and best practices for specific bioinformatics tasks. AI agents, such as Claude Code, can directly ingest these markdown files, enabling them to execute complex scientific analyses on demand. This approach bypasses the need for model retraining, offering a flexible and rapidly deployable solution for enhancing AI agent performance in specialized scientific domains.

Quick Start & Requirements

Clone the repository: https://github.com/jaechang-hits/SciAgent-Skills.git. Primary requirement is an AI coding agent compatible with markdown skill files (e.g., Claude Code, Codex CLI, Cursor, Windsurf). Python 3.12+ is needed only for validation scripts. Configuration involves loading skills as a plugin for Claude Code (claude --plugin-dir /path/to/SciAgent-Skills or /plugin marketplace add jaechang-hits/SciAgent-Skills) or integrating them into project files for other agents. A web-based demo is available via the OmicsHorizon platform.

Highlighted Details

• Achieved 92.0% accuracy on the B