Structure prediction for protein, nucleic-acid, and small-molecule complexes with the Chai-1 foundation model (Chai Discovery 2024, github.com/chaidiscovery/chai-lab). Reach for this skill to predict an antibody-antigen or protein-ligand complex from a single FASTA, to re-fold designed binders as an AlphaFold-multimer alternative, or to drive co-folding from Python for batched campaigns on a GPU.
How to install chai1?
xuzhougeng/wisp-science/chai1
$npx -y skills add xuzhougeng/wisp-science --skill chai1Installs 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/chai1"` 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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