Does this skill support Nextflow and Snakemake?

Yes, it provides guidance and implementation patterns for integrating and deploying both Nextflow and Snakemake pipelines as serverless workflows on Latch.

Can I configure GPU resources for my workflows?

Yes, the skill includes documentation for configuring various GPU types (K80, V100, A100) using specialized task decorators for compute-intensive tasks.

What is the LatchBio Integration skill for Claude Code?

It is a specialized skill that enables Claude to assist in building, deploying, and managing bioinformatics workflows on the Latch platform using the Latch SDK.

How does this skill help with data management?

It helps users implement LatchFile and LatchDir for cloud storage and guides the setup of Latch Registry tables for structured data and sample tracking.

Is there support for pre-built workflows?

Yes, the skill provides access and configuration patterns for Latch's verified workflows, including DESeq2, AlphaFold, and single-cell analysis tools.

LatchBio Integration

Name: LatchBio Integration
Author: Sologa

bySologa

0•

데이터 과학 및 ML

Streamlines the development, deployment, and management of serverless bioinformatics workflows on the LatchBio platform.

LatchBio Integration empowers bioinformatics researchers and developers to build scalable, production-grade pipelines using a Python-native framework. It facilitates the creation of serverless workflows through specialized decorators, manages complex cloud data storage via LatchFile and LatchDir, and provides seamless integration with the Latch Registry for structured data organization. Whether you are deploying custom Nextflow scripts or running verified genomic pipelines, this skill assists with resource configuration—including GPU allocation for tools like AlphaFold—and ensures your workflows are optimized for cost and performance.

주요 기능

01Support for importing and scaling Nextflow and Snakemake pipelines

02Integration with Latch Registry for structured sample and project tracking

03Fine-grained resource configuration for CPU, memory, and high-performance GPUs

04Cloud data abstraction with LatchFile and LatchDir for easy file handling

05Serverless workflow deployment using Python @workflow and @task decorators

060 GitHub stars

사용 사례

01Deploying GPU-accelerated protein structure prediction models like AlphaFold

02Building and registering custom RNA-seq and CRISPR analysis pipelines

03Organizing large-scale genomic datasets into structured Registry tables

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sologa/codex-pipeline latchbio-integration

For use in Claude.ai and ChatGPT

Download Skill