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boltzgen

All-atom protein design using BoltzGen diffusion model. Use this skill when: (1) Need side-chain aware design from the start, (2) Designing around small molecules or ligands, (3) Want all-atom diffusion (not just backbone), (4) Require precise binding geometries, (5) Using YAML-based configuration. For backbone-only generation, use rfdiffusion. For sequence-only design, use proteinmpnn. For structure validation, use boltz.

Packaged view

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

Stars
114
Hot score
95
Updated
March 20, 2026
Overall rating
C3.5
Composite score
3.5
Best-practice grade
B75.1

Install command

npx @skill-hub/cli install adaptyvbio-protein-design-skills-boltzgen
structure-designsequence-designdiffusionall-atombinder

Repository

adaptyvbio/protein-design-skills

Skill path: skills/boltzgen

All-atom protein design using BoltzGen diffusion model. Use this skill when: (1) Need side-chain aware design from the start, (2) Designing around small molecules or ligands, (3) Want all-atom diffusion (not just backbone), (4) Require precise binding geometries, (5) Using YAML-based configuration. For backbone-only generation, use rfdiffusion. For sequence-only design, use proteinmpnn. For structure validation, use boltz.

Open repository

Best for

Primary workflow: Design Product.

Technical facets: Designer.

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

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: adaptyvbio.

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

What it helps with

  • Install boltzgen into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/adaptyvbio/protein-design-skills before adding boltzgen to shared team environments
  • Use boltzgen for design tools workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.