Summary

This repository addresses the fragmentation of agent skills for scientific research by offering a curated, clone-ready collection. It targets researchers across bioinformatics, cheminformatics, data analysis, and scientific writing, providing a unified library to streamline complex research workflows and eliminate the need for extensive manual searching and integration.

How It Works

The project employs a "science-first" curation strategy, evaluating skills for relevance to actual research tasks rather than marketing demos. Skills are sourced from official registries and community efforts, emphasizing open and auditable code. The collection is designed for direct cloning and integration with agents supporting the open Agent Skills standard, facilitating immediate use. Development progresses through phases, from a link collection to a unified skill directory and composition recipes.

Quick Start & Requirements

Users can either browse and manually copy individual skill folders into their project's .claude/skills/ directory or, in a future phase, clone the entire repository. The skills are compatible with agents like Claude Code, Cursor, Codex, and Gemini CLI that adhere to the open Agent Skills specification. No specific non-default software prerequisites are detailed beyond the agent environment itself.

Highlighted Details

• Science-first curation: Prioritizes skills directly applicable to research workflows.
• Fully clonable: Enables a complete, ready-to-use skill library via a single git clone.
• Cross-agent compatibility: Supports multiple AI agents via the open Agent Skills standard.
• Open & auditable: All skill sources are publicly accessible for review.

Maintenance & Community

The project promotes community contributions and offers companion tools for skill generation (skiller) and evaluation (skill-metric). It links to agentskills.io for the open standard specification. Future phases include community skill ratings and usage metrics.

Licensing & Compatibility

The curated list is licensed under MIT. Individual skills retain their original licenses, requiring users to verify compatibility for commercial use or closed-source integration.

Limitations & Caveats

Currently in Phase 1, the repository is primarily a curated link collection; a unified skill directory is planned. Skills execute arbitrary code, necessitating user review of SKILL.md and scripts before installation, as they are curated but not audited. Crypto/blockchain skills are explicitly out of scope.