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k-dense-ai/scientific-agent-skills

v2.64.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

tamarind

Access a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of these open-source tools in the cloud, references app.tamarind.bio/api or the x-api-key header, or needs to submit batches of sequences for structural or biophysical characterization.

Version
1.1
License
MIT
Compatibility
Requires Python 3.10+, a Tamarind Bio account, and an API key from app.tamarind.bio. Uses the `requests` library against the public REST API (no dedicated Python SDK exists). Network access required. Optional MCP server at mcp.tamarind.bio/mcp for agent hosts.
Read SKILL.md at the source

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