Skill

deepchem

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.

Bundled with Research Agent Skills. Its trust score, security findings and other files are on the plugin page.

SKILL.md

Path
skills/deepchem/SKILL.md
Size
12 KB
SHA-256
edac2b7ed0edeaf4c4f5b4705c65fd527730dab502d74389bfe6c07645b25b9c

Install

Install the plugin's skills with the Skills CLI:

npx [email protected] add KalarisLabs/research-agent-skills