Skillzwave

torchdrug

84 stars 11 forks Updated Dec 4, 2025
49.6

"Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs."

#knowledge graph#graph#property prediction#protein#prediction
Also in: github

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation

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skilz install Microck_ordinary-claude-skills/torchdrug
skilz install Microck_ordinary-claude-skills/torchdrug --agent opencode
skilz install Microck_ordinary-claude-skills/torchdrug --agent codex
skilz install Microck_ordinary-claude-skills/torchdrug --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

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Download Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/Microck/ordinary-claude-skills
2. Copy the skill directory:
cp -r ordinary-claude-skills/skills_all/claude-scientific-skills/scientific-skills/torchdrug ~/.claude/skills/
View on GitHub

Need detailed installation help? Check our platform-specific guides:

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Details

Owner
Microck
Repository
ordinary-claude-skills
Stars
84
Forks
11
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Sub-Domain
learning molecular graph
Skill Size
94.3 KB
Files
9
Quality Score
49.6

AI-Detected Topics

Extracted using NLP analysis

knowledge graph graph property prediction protein prediction

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