What is a BioLM Protocol?

A BioLM Protocol is a declarative YAML file that chains protein models together for batching, ranking, and inference without writing code.

How does it ensure the YAML is valid?

The skill checks your YAML against schema references, verifies response field paths, and can facilitate syntax checks via the biolmai CLI.

Can it create multi-step pipelines?

Absolutely; it can generate branching DAGs that chain multiple tasks like generation, scoring, and folding into a single workflow.

Does it handle antibody-specific workflows?

Yes, it includes specialized logic for choosing antibody models like AntiFold or IgBERT over general-purpose protein models.

Which models does this skill support?

It supports dozens of models including ESMFold, AlphaFold2, AntiFold, IgBERT, and specialized models for enzymes and thermostability.

BioLM Protocol Creator

Name: BioLM Protocol Creator
Author: BioLM

byBioLM

0•

数据科学与机器学习

Generates valid BioLM Protocol YAML files for protein engineering and bioinformatics pipelines.

This skill empowers researchers and developers to design sophisticated protein generation and analysis workflows on BioLM.ai without writing Python code. It automates the creation of declarative YAML pipelines, providing domain-specific guidance for model selection—such as specialized antibody folding or enzyme classification—while verifying response field mappings against live API schemas. By adhering to standardized naming conventions and architectural patterns, it ensures that your protein engineering workflows are reproducible, valid, and optimized for the BioLM infrastructure.

主要功能

01Mandatory response mapping validation against live BioLM API schemas.

02Automated BioLM Protocol YAML generation for protein generation, folding, and scoring.

03Domain-specific model selection guidance for antibodies, enzymes, and thermostability.

040 GitHub stars

05Built-in syntax checking and adherence to BioLM-compatible YAML structures.

06Support for complex workflow patterns including branching DAGs and chained pipelines.

使用场景

01Designing a batch inference workflow for predicting the thermostability of protein variants.

02Codifying a complex BioLM.ai web interface workflow into a reproducible YAML definition.

03Creating a multi-step pipeline to generate and score antibody sequences.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add biolm/biolm-protocols biolm-protocol-editor

For use in Claude.ai and ChatGPT

主要功能

01Mandatory response mapping validation against live BioLM API schemas.

02Automated BioLM Protocol YAML generation for protein generation, folding, and scoring.

03Domain-specific model selection guidance for antibodies, enzymes, and thermostability.

040 GitHub stars

05Built-in syntax checking and adherence to BioLM-compatible YAML structures.

06Support for complex workflow patterns including branching DAGs and chained pipelines.

使用场景

01Designing a batch inference workflow for predicting the thermostability of protein variants.

02Codifying a complex BioLM.ai web interface workflow into a reproducible YAML definition.

03Creating a multi-step pipeline to generate and score antibody sequences.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add biolm/biolm-protocols biolm-protocol-editor

For use in Claude.ai and ChatGPT