๐จ Someone just open sourced 135 ready-to-use skills that turn Claude Code into a full AI scientist.
Cancer genomics. Drug discovery. Molecular dynamics. Protein folding. RNA analysis. Geospatial science. Time series forecasting. 78 scientific databases. All accessible from a single command in your terminal.
It's called Scientific Agent Skills. Built by K-Dense. And it works with Claude Code, Cursor, Codex, and Gemini CLI out of the box.
Here's what was missing.
Claude Code is powerful. But when a researcher asks it to "find allosteric modulators for this protein-protein interaction," it doesn't know about AlphaFold DB, ZINC, DiffDock, DeepChem, or USPTO patents. It knows how to code. It doesn't know the scientific infrastructure that research actually runs on.
Scientific Agent Skills teaches it.
Each skill is a structured SKILL.md file that tells the agent exactly how to use a specific scientific tool, database, or package. The agent reads the skill automatically when it's relevant. No prompting required. No explaining what PubMed is every session.
Here's what's inside:
โ 30 scientific and financial databases โ PubMed, bioRxiv, ChEMBL, UniProt, COSMIC,
ClinicalTrials.gov, SEC EDGAR, Alpha Vantage, OpenAlex, and more
โ 55 Python packages โ RDKit, Scanpy, BioPython, PyTorch Lightning, PennyLane, Qiskit, and others with full usage patterns
โ 15 scientific integrations โ Benchling, DNAnexus, LatchBio, OMERO,
Protocols.io
โ GPU acceleration frameworks โ CuPy, Numba, cuML, cuGraph, cuDF, all with decision frameworks for when to use each
โ Lab automation โ PyLabRobot for controlling liquid handling robots, plate readers, incubators
โ Cancer genomics, drug-target binding, molecular dynamics, RNA velocity, geospatial science, time series forecasting
Here's how it works in practice.
You ask your agent to discover allosteric modulators for a protein-protein interaction. It automatically retrieves AlphaFold structures, identifies interaction interfaces with BioPython, searches ZINC for candidates, filters with RDKit, docks with DiffDock, ranks with DeepChem, checks PubChem suppliers, and searches USPTO patents.
End to end. From one research question.
Here's the wildest part.
Your AI agent discovers the skills automatically and uses them when relevant. Just a code. No configuration. No explaining the tools. No teaching your agent what databases exist.
K-Dense also released BYOK โ a free desktop AI co-scientist powered by these skills that works with 40 models, runs locally, and includes web search, file handling, and optional cloud compute via Modal.
2.4K forks. 135 skills. Actively maintained by K-Dense.
100% Open Source. MIT License.
GitHub link in the comments ๐