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”.
Best use case
modal-labs is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Modal Labs (modal.com) — run Python on serverless containers with GPUs, batch jobs, and autoscaling. Precision wrapper to avoid confusion with UI “modal dialogs”.
Teams using modal-labs should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/modal-labs/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How modal-labs Compares
| Feature / Agent | modal-labs | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Modal Labs (modal.com) — run Python on serverless containers with GPUs, batch jobs, and autoscaling. Precision wrapper to avoid confusion with UI “modal dialogs”.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# 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.Related Skills
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