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.
8.3
Rating
0
Installs
AI & LLM
Category
Exceptional protein language model skill with comprehensive coverage of ESM3 (generative) and ESM C (embeddings) capabilities. The description clearly explains when and how to use the skill for protein design, structure prediction, inverse folding, function annotation, and embedding generation. Task knowledge is outstanding with detailed code examples for all major workflows, proper model selection guidance, and references to additional documentation files. Structure is excellent with logical organization, clear sections, and appropriate delegation of detailed API specs to reference files. The skill addresses a highly novel and complex domain (protein language models) that would require extensive specialized knowledge and many tokens for a CLI agent to accomplish independently. Minor room for improvement in making the initial description even more concise for quick agent parsing, but overall this is a production-ready, well-documented skill that significantly reduces complexity for protein engineering tasks.
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