Generate de-novo protein backbones with RFdiffusion (Watson 2023) — a diffusion model for unconditional monomer generation, motif scaffolding, binder design against a target, and symmetric oligomers. Use when generating a new protein backbone from scratch, scaffolding a functional motif into a fold, designing a binder backbone to a target surface, or building symmetric assemblies; RFdiffusion…
Install
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-rfdiffusionnpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-rfdiffusion -a claude-code -gnpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-rfdiffusion -a codex -ggemini skills install https://github.com/AlterLab-IEU/AlterLab-Academic-Skills.git --path skills/bioinformatics/alterlab-rfdiffusiongh skill install AlterLab-IEU/AlterLab-Academic-Skills alterlab-rfdiffusiongit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills /tmp/AlterLab-IEU__AlterLab-Academic-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/bioinformatics/alterlab-rfdiffusion ~/.claude/skills/alterlab-rfdiffusion # Claude Code
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/bioinformatics/alterlab-rfdiffusion ~/.agents/skills/alterlab-rfdiffusion # Codex, Cursor, Gemini CLI, Copilot, OpenCode