claude-scientific-skills

⚡ Accelerate Your Research

• Save Days of Work - Skip API documentation research and integration setup
• Reviewed Starting Points - Tested examples with explicit validation, provenance, and safety boundaries; verify them in the target environment
• Multi-Step Workflows - Execute complex pipelines with a single prompt

🎯 Comprehensive Coverage

• 158 Skills - Extensive coverage across all major scientific domains
• 100+ Databases - Unified access to 78+ databases via database-lookup, plus dedicated data access skills and multi-database packages like BioServices, BioPython, and gget
• 70+ Optimized Python Package Skills - Current, version-scoped guidance for packages including RDKit, Scanpy, PyTorch Lightning, scikit-learn, PyTDC, pydicom, PufferLib, QuTiP, GeoPandas, pymatgen, Qiskit, Molecular Dynamics (OpenMM/MDAnalysis), scVelo, and TimesFM (the agent can use any Python package; these are the pre-documented paths)

🔧 Easy Integration

• Simple Setup - Copy skills to your skills directory and start working
• Configured Discovery - Compatible hosts can find and use relevant skills from their configured skill paths
• Well Documented - Each skill includes examples, use cases, and best practices

🌟 Maintained & Supported

• Regular Updates - Continuously maintained and expanded by K-Dense team
• Tested in CI - Every skill that ships scripts/ has a suite under tests/, plus a repo-wide structural contract (frontmatter, link resolution, script parsing, --help behavior) that runs on every pull request
• Community Driven - Open source with active community contributions
• Enterprise Ready - Commercial support available for advanced needs

• Python: 3.13+ for repository tooling; individual skill dependencies may support broader Python ranges
• uv: Python package manager (required for installing skill dependencies)
• Client: Any agent that supports the Agent Skills standard (Cursor, Claude Code, Gemini CLI, Codex, Google Antigravity, etc.)
• System: macOS, Linux, or Windows with WSL2
• Dependencies: Automatically handled by individual skills (check SKILL.md files for specific requirements)

Installing uv

The skills use uv as the package manager for installing Python dependencies. Install it using the instructions for your operating system:

macOS and Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Alternative (via pip):

pip install uv

After installation, verify it works by running:

uv --version

For more installation options and details, visit the official uv documentation.