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diffdock

Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.

Packaged view

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

Stars
0
Hot score
74
Updated
March 20, 2026
Overall rating
C0.0
Composite score
0.0
Best-practice grade
C61.1

Install command

npx @skill-hub/cli install agentgptsmith-monadframework-diffdock

Repository

agentgptsmith/MonadFramework

Skill path: .claude/skills/scientific/diffdock

Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.

Open repository

Best for

Primary workflow: Design Product.

Technical facets: Full Stack, Designer.

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

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: agentgptsmith.

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

What it helps with

  • Install diffdock into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/agentgptsmith/MonadFramework before adding diffdock to shared team environments
  • Use diffdock for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

diffdock | SkillHub