Back to skills
SkillHub ClubResearch & OpsFull StackData / AI

scientific-pkg-torchdrug

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.

Packaged view

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

Stars
10
Hot score
84
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
B78.7

Install command

npx @skill-hub/cli install jackspace-claudeskillz-scientific-pkg-torchdrug

Repository

jackspace/ClaudeSkillz

Skill path: skills/scientific-pkg-torchdrug

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.

Open repository

Best for

Primary workflow: Research & Ops.

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: jackspace.

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

What it helps with

  • Install scientific-pkg-torchdrug into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/jackspace/ClaudeSkillz before adding scientific-pkg-torchdrug to shared team environments
  • Use scientific-pkg-torchdrug for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

scientific-pkg-torchdrug | SkillHub