Structure prediction for protein, nucleic-acid, and small-molecule complexes with Boltz-2 (Passaro & Wohlwend et al. 2025, github.com/jwohlwend/boltz). Reach for this skill to validate designed binders against a target, to co-fold a protein with a SMILES or CCD ligand, or to get an open-source AlphaFold3 alternative with optional binding-affinity prediction.
How to install boltz?
xuzhougeng/wisp-science/boltz
$npx -y skills add xuzhougeng/wisp-science --skill boltzInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/xuzhougeng/wisp-science" --skill "xuzhougeng/wisp-science/boltz"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/xuzhougeng/wisp-science" that are relevant to the current task. Run `npx skills add "https://github.com/xuzhougeng/wisp-science"` and select the relevant skills, then follow their instructions.
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