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SkillHub ClubAnalyze Data & AIFull StackData / AI

molfeat

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
15,473
Hot score
99
Updated
March 20, 2026
Overall rating
A8.8
Composite score
7.5
Best-practice grade
C65.6

Install command

npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-molfeat

Repository

K-Dense-AI/claude-scientific-skills

Skill path: scientific-skills/molfeat

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: K-Dense-AI.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install molfeat into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/K-Dense-AI/claude-scientific-skills before adding molfeat to shared team environments
  • Use molfeat for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.