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esm

8.7

by davila7

121Favorites
412Upvotes
0Downvotes

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.

protein-modeling

8.7

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent skill for protein language models with comprehensive coverage of ESM3 and ESM C capabilities. The description clearly articulates when and how to use the skill for protein design, structure prediction, embeddings, and function conditioning. Task knowledge is outstanding with complete code examples for all major workflows, clear model selection guidance, and well-organized reference documentation. Structure is very clean with a logical progression from basic to advanced use cases and proper separation of detailed API specs into reference files. The skill provides significant value by unifying complex protein ML workflows that would otherwise require extensive token usage and domain expertise from a CLI agent. Minor improvement possible in making the initial description slightly more concise, but overall this is a highly polished, production-ready skill for a specialized and valuable domain.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty9

GitHub Signals

18,073
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Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

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davila7

Skill Author

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