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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.

diffdock

DiffDock and DiffDock-L molecular docking. Use for protein-small-molecule pose prediction from PDB or sequence plus SMILES/SDF/MOL2, batch docking, virtual screening, and pose-confidence interpretation. Not for binding affinity prediction.

Version
1.2
License
MIT license
Compatibility
Requires the DiffDock repository, Python 3.9 environment from upstream environment.yml or the official Docker image, RDKit, PyTorch/PyG, and optional CUDA GPU acceleration. Current guidance targets DiffDock v1.1.3 / DiffDock-L.
Read SKILL.md at the source

Pinned to revision de66e10cd0c8, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

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