CtrlK
BlogDocsLog inGet started
Tessl Logo

esm

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

3.44x
Quality

86%

Does it follow best practices?

Impact

93%

3.44x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Evaluation results

79%

45%

Protein Functional Similarity Analysis

ESM C embedding pipeline

Criteria
Without context
With context

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%

100%

91%

De Novo Enzyme Design with Multimodal Protein Generation

ESM3 chain-of-thought protein design

Criteria
Without context
With context

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%

100%

60%

High-Throughput Protein Variant Screening Pipeline

Forge API batch processing with error handling

Criteria
Without context
With context

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%

Repository
K-Dense-AI/claude-scientific-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.