What problem does it solve? Managing Modal serverless workloads requires juggling many CLI commands for deployment, log streaming, and workspace inspection, with no guardrails around destructive actions like production deploys. ## Core Features & Use Cases - Guided Deployments: Runs pre-deploy checks (git state, syntax validation, existing deployments), presents a summary, and requires explicit user confirmation before deploying with modal deploy. - Log Streaming & Debugging: Fetches app and container logs, executes diagnostic commands inside containers (nvidia-smi, py-spy), and helps investigate GPU OOM, heartbeat timeouts, and cold starts. - Workspace Dashboard: Surfaces apps, containers, secrets, volumes, and environments in a single read-only status view. - Use Case: After editing a Modal app file, ask to deploy it — the skill verifies authentication, summarizes what will change, waits for your confirmation, deploys with log streaming, then health-checks endpoints and reviews post-deploy logs. ## Quick Start Ask the assistant to deploy your Modal app, stream its logs, or show the workspace status, for example: deploy my Modal app to production.