Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
How to install esm?
synthetic-sciences/openscience/esm
$npx -y skills add synthetic-sciences/openscience --skill esmInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/synthetic-sciences/openscience" --skill "synthetic-sciences/openscience/esm"` 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/synthetic-sciences/openscience" that are relevant to the current task. Run `npx skills add "https://github.com/synthetic-sciences/openscience"` and select the relevant skills, then follow their instructions.
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