TacoSkill LAB
TacoSkill LAB
HomeSkillHubCreatePlaygroundSkillKit
© 2026 TacoSkill LAB
AboutPrivacyTerms
  1. Home
  2. /
  3. SkillHub
  4. /
  5. molfeat
Improve

molfeat

8.7

by davila7

64Favorites
345Upvotes
0Downvotes

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

molecular-featurization

8.7

Rating

0

Installs

Machine Learning

Category

Quick Review

Exceptional molecular featurization skill with comprehensive coverage. The SKILL.md provides crystal-clear descriptions enabling easy invocation by CLI agents, extensive task knowledge with practical workflows (QSAR, virtual screening, similarity search), and excellent logical structure with a concise overview and well-organized reference files. The skill addresses a genuinely complex domain—unifying 100+ molecular featurizers that would otherwise require extensive domain expertise and many tokens for a CLI agent to discover and implement correctly. Minor deduction on novelty as some basic fingerprint calculations could theoretically be done with fewer tokens, though the unified API, pretrained models, and comprehensive featurizer catalog provide substantial value. The three-tier hierarchy (calculators/transformers/pretrained), decision guides for featurizer selection, and integration examples demonstrate deep domain expertise packaged for immediate use.

LLM Signals

Description coverage10
Task knowledge9
Structure10
Novelty8

GitHub Signals

18,073
1,635
132
71
Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

Related Skills

ml-pipelinesparse-autoencoder-traininghuggingface-accelerate

Loading SKILL.md…

Try onlineView on GitHub

Publisher

davila7 avatar
davila7

Skill Author

Related Skills

ml-pipeline

Jeffallan

6.4

sparse-autoencoder-training

zechenzhangAGI

7.6

huggingface-accelerate

zechenzhangAGI

7.6

moe-training

zechenzhangAGI

7.6
Try online