This skill lets you work with protein language models from EvolutionaryScale. You can generate new protein sequences, predict their 3D structure, or design a sequence that folds into a specific shape. ESM3 handles generative design and structure prediction. ESM C gives you embeddings for machine learning tasks. Scientists and engineers can use these tools to understand and create proteins for research or biotechnology.
Remote inference is available through Forge or Biohub APIs with a simple client interface. You can also run models locally on your own hardware after accepting the license. The same Python code works for both setups, making it easy to switch between local and cloud workflows.
ESMFold2 supports all-atom structure prediction from a sequence. You can use the inverse folding feature to find a protein sequence that matches a given structure. This skill covers the full range of tasks for protein modeling and design.
Add Esm skill to your workflow
Global
mkdir -p ~/.claude/skills/esmProject
mkdir -p .claude/skills/esmSource Repository
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