Modal

---
name: modal
description: Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
license: Apache-2.0
required_environment_variables: [{"name": "MODAL_TOKEN_ID", "prompt": "Modal token id.", "required_for": "full functionality"}, {"name": "MODAL_TOKEN_SECRET", "prompt": "Modal token secret.", "required_for": "full functionality"}, {"name": "DATABASE_URL", "prompt": "Optional database URL for examples.", "required_for": "optional features"}]
metadata: {"version": "1.2", "skill-author": "K-Dense Inc.", "openclaw": {"envVars": [{"name": "MODAL_TOKEN_ID", "required": true, "description": "Modal token id."}, {"name": "MODAL_TOKEN_SECRET", "required": true, "description": "Modal token secret."}, {"name": "DATABASE_URL", "required": false, "description": "Optional database URL for examples."}]}}
---

# Modal

## Overview

Modal is a cloud platform for running Python code serverlessly, with a focus on AI/ML workloads. Key capabilities:
- **GPU compute** on demand (T4, L4, A10, L40S, A100, H100, H200, B200)
- **Serverless functions** with autoscaling from zero to thousands of containers
- **Custom container images** built entirely in Python code
- **Persistent storage** via Volumes for model weights and datasets
- **Web endpoints** for serving models and APIs
- **Scheduled jobs** via cron or fixed intervals
- **Sub-second cold starts** for low-latency inference

Everything in Modal is defined as code — no YAML, no Dockerfiles required (though both are supported).

## When to Use This Skill
… load the full skill through Skill Me