K-Dense-AI/scientific-agent-skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
[](LICENSE.md) [](https://arxiv.org/abs/2609.00065) [](pyproject.toml) [](#-whats-included) [](#-whats-included) [](https://agentskills.io/) [](https://agent-plugins.org/) [](https://github.com/K-Dense-AI/scientific-agent-skills/actions/workflows/security-scan.yml) [](https://github.com/K-Dense-AI/scientific-agent-skills/actions/workflows/skill-tests.yml) [](#-getting-started) [](https://x.com/kdenseai) [](https://www.linkedin.com/company/k-dense-inc) [](https://www.youtube.com/@K-Dense-Inc) [](https://www.reddit.com/user/-k-dense-/) A comprehensive collection of 166 ready-to-use scientific and research skills (covering cancer genomics, individual-level 1000 Genomes queries, genome-wide precomputed variant effects from the AlphaGenome Atlas, hosted regulatory-sequence prediction, live pathogen-variant surveillance, analytical method validation, PK/PD modelling and dose selection, full-text biomedical and regulatory literature retrieval, drug-target binding, bounded biomedical knowledge graph search, molecular dynamics, RNA velocity, microbiome foundation models, geospatial science, time series forecasting, scientific ML resource discovery via Hugging Science, 78+ scientific databases, and more) for any AI agent that supports the open Agent Skills standard, created by K-Dense. The repository is also a portable Agent Plugins package (plugin.json + skills/), so plugin-capable clients can load the whole collection as one plugin. Works with Cursor, Claude Code, Codex, Google Antigravity, and more. Transform your AI agent into a research assistant capable of executing complex…
Read the full README ↗ · Preview checked 2026-09-23T13:34:25.632Z
Inside the original README — Document outline
- Scientific Agent Skills
- 🎥 More tutorials
- 📦 What's Included
- 📋 Table of Contents
- 🚀 Why Use This?
- ⚡ Accelerate Your Research
- 🎯 Comprehensive Coverage
- 🔧 Easy Integration
- 🌟 Maintained & Supported
- 🎯 Getting Started
- Option 1: npx (supported hosts)
- Option 2: GitHub CLI (gh skill)
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Links from the README
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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Repository facts
- Owner
- K-Dense-AI
- Primary language
- Python
- Stars
- 46,244
- Forks
- 4,189
- Open issues + pull requests
- 15
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2025-10-19T20:54:15.000Z
- Last push
- 2026-09-21T09:27:50.000Z
Topics and intended use
Owner-supplied topics: agent-skills, ai-scientist, bioinformatics, chemoinformatics, claude, claude-skills, claudecode, clinical-research, computational-biology, data-analysis, drug-discovery, genomics, materials-science, metabolomics, proteomics, scientific-computing, scientific-visualization
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-09-23T12:02:28.965Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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