Scientific Agent Skills
A library of 177 science skills that teach AI coding agents specific research packages and data sources.
- Stars
- 55.8k
- Forks
- 4.9k
- Licence
- MIT
- Language
- Python
- Last update
- 4 days ago
- Type
- Learning resource
What it is
This is a collection of 177 'skills' for AI agents, which are guidance files covering specific scientific packages, databases, and workflows across biology, chemistry, medicine, physics, and other fields. The README says each skill gives the agent curated documentation, examples, and validation checks, so it can handle those tasks more reliably than without them. It follows the open Agent Skills standard and is listed as working with Cursor, Claude Code, Codex, and Google Antigravity.
- Ask an agent to run single-cell RNA-seq analysis using a documented workflow
- Use the molecular docking or ADMET skills to structure a virtual screening task
- Generate publication-quality figures with the data visualization skills
- Process LC-MS/MS or mass spectrometry data with the proteomics skills
Great for
- Researchers who already use an AI coding agent and want it to work with bioinformatics or chemistry libraries
- Developers building scientific analysis pipelines who want documented examples for specific packages
- Students learning a scientific Python workflow with an agent's help
- Teams exploring agent-assisted literature synthesis or data analysis
Not ideal for
- People without an AI agent host, since the skills are loaded into tools like Cursor or Claude Code
- Anyone seeking clinical or patient-specific decisions, which the README explicitly excludes for its healthcare and clinical skills
- Users who need a standalone app; the README describes a set of skill files, not a single program
How to get it
- 1
Clone and build from source
You'll need: An AI agent host that supports the Agent Skills standard, such as Cursor, Claude Code, or Codex
Clone the repository
git clone https://github.com/K-Dense-AI/scientific-agent-skills - 2
Run it
- Clone the repository to your machine
- Open the skills directory in an Agent Skills compatible host
- Browse the skill catalog at docs/skills.md to pick a skill
- Ask your agent a task that matches a skill's domain
- 3
Get the most out of it
- Browse the illustrated skill guides in docs/skill-guides to find relevant skills by category
- Check the complete catalog at docs/skills.md before starting a specific workflow
- Use the Agent Plugins package format (plugin.json plus skills/) if your client supports it
- Review each skill's validation checks and conventions before relying on its output
Downloads
Strengths
- Large catalog covering many scientific domains, listed in the README by category
- Built on an open standard, so it is not tied to one AI vendor
- MIT licensed with a published arXiv paper describing the work
Trade-offs
- Skill quality and coverage per domain are not independently verified in the README
- Some skills carry explicit limits (for example, research-only imaging and non-diagnostic healthcare use), so users must read them carefully
- Setup details beyond the agent host are not clearly described in the truncated README
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| scientific-agent-skills (this) | 55.8k | Learning resource | intermediate | 4 days ago | Researchers who already use an AI coding agent and want it to work with bioinformatics or chemistry libraries |
| langchain | 149k | Framework | intermediate | 4 days ago | Python developers building LLM-powered applications |
| marketingskills | 57.9k | Learning resource | beginner | 6 days ago | Technical marketers who already use AI coding agents |
| AI-Research-SKILLs | 14.2k | Curated list | intermediate | 26 days ago | Developers who already use Claude Code, Codex, or Gemini CLI and want their agent to handle ML engineering tasks |
| planning-with-files | 27.8k | Dev tool | beginner | 6 days ago | Developers running long multi-step tasks in Claude Code or Codex CLI |
| claude-skills | 12.2k | Other | beginner | 6 days ago | Developers who already use Claude Code and work across frontend, backend, and infrastructure |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.