How do I authenticate with Modal?

You need a Modal account and the Modal CLI. Run 'modal token new' in your terminal to authenticate, which stores your credentials in a local config file used by the skill.

Can I use GPUs with this skill?

Yes, the skill provides patterns for requesting various GPU types, including H100, A100, and L40S, for compute-intensive tasks like model training and high-speed inference.

What is the Modal skill for Claude Code?

It is a specialized capability that allows Claude to write, deploy, and manage serverless Python applications and machine learning models directly on the Modal platform.

How does Modal handle scaling?

Modal automatically scales your Python functions from zero to thousands of containers based on workload demand, ensuring high performance while you only pay for the compute used.

Does this skill support persistent storage?

Yes, it includes patterns for using Modal Volumes, which provide persistent file storage that can be shared across different function invocations and deployments.

Modal Cloud Compute

Name: Modal Cloud Compute
Author: Activer007

byActiver007

云基础设施

Executes Python functions in the cloud with serverless containers, automatic scaling, and on-demand GPU access.

关于

Modal is a powerful serverless platform that allows developers to run compute-intensive Python workloads in the cloud without the overhead of managing infrastructure. This skill enables Claude to help you deploy machine learning models, run large-scale batch processing jobs, and schedule data-heavy tasks using Modal's infrastructure. By abstracting container orchestration and hardware provisioning, it allows for seamless scaling from single functions to thousands of containers, providing specialized support for GPUs, persistent volumes, and secure secret management, making it an essential tool for AI/ML development and high-performance computing.

主要功能

On-demand GPU acceleration including H100, A100, and L40S types
Serverless autoscaling from zero to thousands of parallel containers
Built-in support for deploying web endpoints, REST APIs, and scheduled cron jobs
Persistent data storage via Modal Volumes and secure environment secret management
Declarative container image building with integrated Python and system package support
0 GitHub stars

使用场景

Deploying and scaling inference for LLMs, image generation, and embedding models
Running massively parallel batch processing for large scientific or financial datasets
Automating scheduled model retraining pipelines and daily data processing tasks

关于

主要功能

On-demand GPU acceleration including H100, A100, and L40S types
Serverless autoscaling from zero to thousands of parallel containers
Built-in support for deploying web endpoints, REST APIs, and scheduled cron jobs
Persistent data storage via Modal Volumes and secure environment secret management
Declarative container image building with integrated Python and system package support
0 GitHub stars

使用场景

Deploying and scaling inference for LLMs, image generation, and embedding models
Running massively parallel batch processing for large scientific or financial datasets
Automating scheduled model retraining pipelines and daily data processing tasks