A standardized CLI wrapper for Uni-Mol molecular ML workflows that handles representation extraction (embeddings), model training (regression/classification), and property prediction with built-in RDKit SMILES validation. USE WHEN you need to generate molecular embeddings, train machine learning models for chemical properties, or run predictions on SMILES datasets (.csv/.smi) using the Uni-Mol framework.
$npx -y skills add jinzhezenggroup/computational-chemistry-agent-skills --skill unimolInstalls into the current project.
Run `npx skills use "https://github.com/jinzhezenggroup/computational-chemistry-agent-skills" --skill "jinzhezenggroup/computational-chemistry-agent-skills/unimol"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jinzhezenggroup/computational-chemistry-agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jinzhezenggroup/computational-chemistry-agent-skills"` and select the relevant skills, then follow their instructions.