
Description
modal is an agent skill for Modal, a serverless cloud platform for running Python on demand, including on-demand GPUs, with a focus on AI and machine learning workloads. The skill covers deploying and serving models, running Python functions in the cloud, and the platform's main features. These include GPU compute on demand, with the platform listing H100, H200, B200 and B300 GPUs, serverless functions that scale from zero to thousands of containers, custom container images defined in Python, and persistent storage through Volumes for model weights and datasets. It also covers web endpoints for models and APIs, and scheduled jobs on a cron or a fixed interval. Container reuse and warm pools reduce cold starts, though loading a model still takes time. Modal Apps and Images are defined in Python, and existing Dockerfiles are supported too. Use it when you need to run a Python workload that needs a GPU or scales with demand, without managing servers. Check the platform's terms and costs before you deploy. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs.…
Highlights
- On-demand GPUs including H100 to B300
- Serverless autoscaling from zero
- Images and Apps defined in Python
- Persistent Volumes for weights and data
- Web endpoints and scheduled jobs
Ratings & Reviews
No ratings yet
Be the first to rate modal.
People also visit

data-scraper-agent
Build a fully automated AI-powered data collection agent for any public source

django-security
Django security best practices, authentication, authorization, CSRF protection

fastapi-patterns
FastAPI best practices covering project structure, Pydantic v2 schemas
modal FAQ
What is Modal?
A serverless cloud platform for running Python on demand, including on-demand GPUs, with a focus on AI and machine learning.
What can I deploy?
Models and APIs as web endpoints, functions that scale with demand, and scheduled jobs.
How are environments defined?
Images and Apps are defined in Python, and existing Dockerfiles are also supported.
Does it remove cold starts?
No. The skill says container reuse and warm pools reduce cold starts, but model loading still takes time.
How do I install it?
Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill modal.
Is it checked for security?
Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.
What are the best modal alternatives?
Popular alternatives to modal include data-scraper-agent, django-celery and django-patterns. See all modal alternatives







