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.
89
86%
Does it follow best practices?
Impact
93%
3.44xAverage score across 3 eval scenarios
Passed
No known issues
ESM C embedding pipeline
ESMC import
0%
100%
ESMProtein import
0%
100%
from_pretrained loading
0%
0%
Correct model selection
0%
100%
Device placement
0%
50%
encode step
0%
100%
forward step
0%
20%
Mean pooling
83%
100%
Cosine similarity
100%
100%
Output JSON report
100%
100%
Embeddings saved
100%
100%
ESM3 chain-of-thought protein design
ESM3 import
0%
100%
API imports
0%
100%
Local model ID
0%
100%
from_pretrained loading
0%
100%
Underscore masking
0%
100%
Sequence track
0%
100%
Structure track
0%
100%
Multi-track iteration
0%
100%
num_steps scaling
0%
100%
Temperature parameter
0%
100%
PDB output
37%
100%
FASTA output
100%
100%
Forge API batch processing with error handling
Forge client import
0%
100%
SDK API imports
0%
100%
Client initialization
0%
100%
Production model
0%
100%
Token from env var
100%
100%
Async generation
0%
100%
asyncio.gather concurrency
0%
100%
Rate limit retry
100%
100%
Exponential backoff
100%
100%
Underscore masking preserved
0%
100%
FASTA output
100%
100%
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Table of Contents
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