Agent skill

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”.

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Forks 109

Install this agent skill to your Project

npx add-skill https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/modal-labs

Metadata

Additional technical details for this skill

skill author
Local wrapper (VCO)
routing notes
Prefer this skill over `modal` for auto-routing; reserve `modal` for explicit calls to avoid UI ambiguity.
upstream skill
modal

SKILL.md

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.

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