Does this skill handle environment variables?

Yes, it provides best practices for using Modal Secrets to securely manage API keys and credentials without hardcoding them in your source code.

How does the skill help with scaling?

It provides code patterns for using .map() and other Modal primitives to automatically parallelize tasks across multiple containers based on workload demand.

Can I deploy machine learning models using this skill?

Yes, it includes implementation patterns for serving ML models via web endpoints, including specific configurations for different GPU types like H100 and A100.

What is the Modal skill for Claude Code?

The Modal skill provides specialized guidance for Claude to help you write, deploy, and manage serverless Python applications that utilize cloud GPUs and autoscaling infrastructure.

Modal Serverless Cloud

Name: Modal Serverless Cloud
Author: eyadsibai

byeyadsibai

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云基础设施

Deploys and scales machine learning models and GPU-accelerated workloads using the Modal serverless platform.

This skill empowers Claude to assist with the Modal serverless platform, enabling the execution of Python code with on-demand access to high-performance GPUs, autoscaling compute, and persistent storage. It provides domain-specific patterns for building container images, managing secrets, and deploying serverless functions as web endpoints or scheduled cron jobs. This is ideal for developers who need to move from local prototyping to cloud-scale infrastructure for AI/ML tasks without the overhead of manual cluster management.