# Modal Labs

> Modal Labs (modal.com) — run Python on serverless containers with GPUs, batch jobs, and autoscaling. Precision wrapper to avoid confusion with UI “modal dialogs”.

- Skill: `majiayu000/modal-labs` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/modal-labs`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/modal-labs/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- License: Apache-2.0 license
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/modal-labs

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# Modal Labs (modal.com)

## Overview

This is a **precision wrapper** for the upstream `modal` skill (Modal Labs, modal.com). It exists because “modal” is also a common term for UI dialogs (React/Vue/AntD/etc.).  

Use this skill only when the user clearly means **Modal Labs (modal.com)**.

## When to Use

Route here when prompts mention one or more of:
- `modal.com` / “Modal Labs”
- CLI verbs: `modal run`, `modal deploy`, `modal serve`
- serverless containers for Python, **batch jobs**, autoscaling
- **GPU** workloads (inference, training, rendering) in a serverless setup

Do **not** use this skill for UI “modal dialog” tasks.

## Setup (CLI)

```bash
# Install
uv uv pip install modal

# Login (writes token to ~/.modal.toml)
modal token new
```

## Minimal Example

```python
import modal

app = modal.App("hello-modal")

@app.function()
def hello():
    return "hello from Modal"

@app.local_entrypoint()
def main():
    print(hello.remote())
```

Run:

```bash
modal run script.py
```

## Next Actions (choose based on intent)

- **One-off run:** `modal run`
- **Long-running endpoint:** `modal deploy` / `modal serve`
- **GPU function:** add `@app.function(gpu="H100")` (or another GPU type)

If you need deeper patterns (images, volumes, secrets, web endpoints), follow the upstream `modal` skill guidance.