What is the difference between ESM3 and ESM C?

ESM3 is a multimodal generative model designed for sequence, structure, and function prediction and design, while ESM C is optimized for creating efficient, high-quality protein embeddings and representations.

How does ESM handle structure prediction?

ESM3 uses its structure track to predict 3D coordinates from a sequence or perform inverse folding to design a sequence for a given PDB structure.

Can I use this skill for local protein modeling?

Yes, the skill supports local usage of open-weight models like ESM3-sm-open-v1 and ESMC-300m using PyTorch and GPU acceleration.

Is an API key required?

While local models can be used for free, accessing larger models like ESM3-Large or ESM3-Medium requires a Forge API token from EvolutionaryScale.

ESM Protein Engineering Toolkit

Name: ESM Protein Engineering Toolkit
Author: Microck

byMicrock

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Data Science & ML

Empowers protein research and design using state-of-the-art ESM3 and ESM C language models for sequence generation, structure prediction, and representation learning.

The ESM skill integrates advanced Evolutionary Scale Modeling tools into Claude, enabling researchers and developers to design novel proteins, predict 3D structures, and generate high-quality embeddings. It supports the multimodal ESM3 model for generative tasks across sequence, structure, and function tracks, as well as the efficient ESM C family for representation learning. Whether performing inverse folding, function-conditioned generation, or large-scale batch processing via the Forge API, this skill provides the necessary guidance and implementation patterns for cutting-edge protein engineering and bioinformatics workflows.

Key Features

0181 GitHub stars

02Function-conditioned generation and automated protein annotation

03Multimodal protein design across sequence, structure, and function tracks

04Inverse folding for sequence design based on target 3D structures

05High-quality protein embeddings using ESM C models

06Support for both local model execution and cloud-based Forge API integration

Use Cases

01Generating protein embeddings for downstream machine learning tasks and similarity analysis

02Designing novel proteins with specific functional properties or structural constraints

03Conducting high-throughput protein engineering using the Forge API for scalable inference

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills esm

For use in Claude.ai and ChatGPT

Download Skill