rfdiffusion
Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers. For sequence design after backbone generation, use proteinmpnn. For structure validation, use alphafold or chai. For QC thresholds, use protein-qc.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install adaptyvbio-protein-design-skills-rfdiffusion
Repository
Skill path: skills/rfdiffusion
Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers. For sequence design after backbone generation, use proteinmpnn. For structure validation, use alphafold or chai. For QC thresholds, use protein-qc.
Open repositoryBest 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 rfdiffusion into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/adaptyvbio/protein-design-skills before adding rfdiffusion to shared team environments
- Use rfdiffusion for design tools workflows
Works across
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Sub-skills: 0.
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