Scientific Agent Skills
ActiveDescription
A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing across multiple coding agents.
Key Features
- 142 ready-to-use scientific skills — Covers 17+ fields: bioinformatics, cheminformatics, proteomics, clinical research, medical imaging, and more
- 100+ scientific database integration — Unified access to 78+ public databases including PubChem, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov
- 70+ optimized Python package skills — Dedicated skills for RDKit, Scanpy, PyTorch Lightning, scikit-learn with curated documentation and examples
- Agent Skills standard compatible — Works with Cursor, Claude Code, Codex, Google Antigravity and any AI agent supporting the Agent Skills standard
- Hugging Science integration — Discover datasets, models, and demos across 17 scientific domains on Hugging Face
- Multi-modal workflow support — Full research workflows from literature review to experimental design, including 9 scientific platform integration skills
Use Cases
💡 Drug discovery & design — Accelerate drug development with molecular docking, ADMET analysis, virtual screening skills
💡 Genomics & single-cell analysis — Perform RNA velocity analysis, gene regulatory network inference, variant annotation
💡 Clinical trial data analysis — Pull trial data from ClinicalTrials.gov for statistical analysis and visualization
💡 Scientific literature review — Automate literature search, citation management, and review writing workflows
💡 Lab automation — Integrate with Benchling, DNAnexus platforms for liquid handling and workflow automation
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (42.1k stars)
- • Permissive open-source license (MIT)
- • Responsive to issues, low backlog
Categories
Quick Start
# Clone and install
export OPENAI_API_KEY={your-key}
cd scientific-agent-skills
pip install -e .
# Use in Cursor
# Search for 'PubChem' or 'molecular docking' in the Agent Skills panel
# Select and use the skill directly
# K-Dense BYOK desktop app
git clone https://github.com/K-Dense-AI/k-dense-byok
cd k-dense-byok
bun install && bun start