molfeat
Molfeat provides a unified interface for molecular featurization, supporting 100+ methods from fingerprints to pretrained models. It offers scikit-learn compatible transformers, parallel processing, and clear guidance on choosing featurizers for different ML tasks like QSAR and virtual screening.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microck-ordinary-claude-skills-molfeat
Repository
Skill path: skills_all/claude-scientific-skills/scientific-skills/molfeat
Molfeat provides a unified interface for molecular featurization, supporting 100+ methods from fingerprints to pretrained models. It offers scikit-learn compatible transformers, parallel processing, and clear guidance on choosing featurizers for different ML tasks like QSAR and virtual screening.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
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/Microck/ordinary-claude-skills before adding molfeat to shared team environments
- Use molfeat for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.