Individual skill
rfdiffusion
Generate de novo protein backbones with RFdiffusion for protein-target binders, hotspot-conditioned interfaces, motif scaffolding, partial diffusion, or symmetric assemblies. Use this skill when a design workflow needs reproducible RFdiffusion contigs, residue mappings, checkpoints, seeds, batch execution, and handoff to ProteinMPNN plus independent structure validation. RFdiffusion generates backbones; it does not validate folding or binding.
skills/rfdiffusion/SKILL.md
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- design Derived category
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# RFdiffusion
Use RFdiffusion for the backbone-generation stage of a protein-design
workflow. Treat its output as a structural proposal, not as evidence that a
sequence folds or binds. Design sequences afterward with `proteinmpnn` (or
`ligandmpnn` when non-protein atoms must be visible), then validate both the
isolated design and the target–design complex with an independent predictor
such as `boltz`, `chai1`, or `alphafold2`.
The adapted recipe is MIT-licensed. The upstream RFdiffusion code and the
model weights referenced by its README are BSD-3-Clause; record the exact
upstream commit and checkpoint digest used by each run.
## Preflight: freeze the design contract