deploy-modal
Use when deploying Modal workers, checking Modal logs, managing Modal secrets, or configuring GPU endpoints. Triggers on modal deploy, Modal worker, Modal app, Modal logs, Modal secret, modal run, Modal endpoint, keep_warm, cold start, Modal proxy token, wk- ws- token, 8-endpoint limit, Modal GPU, memory sizing, deploy_all.py, Modal Python worker.
Datos de origen
- Repositorio
- george11642/george-plugins
- Última actividad en el origen
- 11 de marzo de 2026 a las 22:42
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 2
- Forks
- 0
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Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- deploy-modal
- description
- Use when deploying Modal workers, checking Modal logs, managing Modal secrets, or configuring GPU endpoints. Triggers on modal deploy, Modal worker, Modal app, Modal logs, Modal secret, modal run, Modal endpoint, keep_warm, cold start, Modal proxy token, wk- ws- token, 8-endpoint limit, Modal GPU, memory sizing, deploy_all.py, Modal Python worker.
# Deploy Modal
Check project CLAUDE.md for worker paths and deploy entry points.
## Commands
| Task | Command |
|------|---------|
| Deploy app | `modal deploy path/to/app.py` |
| List apps | `modal app list` |
| View logs | `modal app logs app-name` |
| Set secret | `modal secret create name KEY=value` |
| Run ad-hoc | `modal run path/to/script.py` |
## Gotchas
- **8-endpoint limit** — multi-route workers consolidate endpoints
- **Proxy auth tokens** (`wk-*`/`ws-*`) differ from CLI tokens (`ak-*`/`as-*`) — Convex env vars use proxy tokens
- **Memory sizing**: right-size per worker to reduce costs
- **Cold starts**: use `keep_warm=1` for latency-sensitive endpoints
## Worker Pattern
```python
app = modal.App("worker-name")
image = modal.Image.debian_slim().pip_install(...)
@app.function(image=image, memory=512)
@modal.web_endpoint(method="POST")
def endpoint(request: dict):
...
```
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