airunway-aks-setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first…
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: \"Flask App Service\", \"Django App Service\", \"FastAPI App Service\", \"deploy Python to App Service\". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use
$ npx -y skills add microsoft/azure-skills --skill python-appservice-deploy --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/python-appservice-deployContext preview
The summary Claude sees to decide when to auto-load this skill.
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: \"Flask App Service\", \"Django App Service\", \"FastAPI App Service\", \"deploy Python to App Service\". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use
name: python-appservice-deploy description: "Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: \"Flask App Service\", \"Django App Service\", \"FastAPI App Service\", \"deploy Python to App Service\". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare." license: MIT metadata: author: Microsoft version: "1.1.1"
Deploys Python (Flask, Django, FastAPI, generic) code to Azure App Service Linux (P0v3, Python 3.14). Creates RG + Plan + Web App if missing. Hand off to `azure-prepare` for VNet, Key Vault, databases, or IaC.
**MCP tools used**: `mcp_azure_mcp_subscription_list`, `mcp_azure_mcp_group_list`, `mcp_azure_mcp_appservice`, `mcp_azure_mcp_azd` (when `azure.yaml` is present).
1. **Resolve context — smart defaults, minimal prompts.** Only the app name is interactive; RG (`<app>-rg`), Plan (`<app>-plan`), region (current `az` default or `eastus2`), subscription are derived. [create-app.md](references/create-app.md) §1. 2. **Detect framework** (advisory, never blocks). [detect.md](references/detect.md). 3. **Choose path** — `azure.yaml` host: appservice → [deploy-azd.md](references/deploy-azd.md); else [deploy-azcli.md](references/deploy-azcli.md). 4. **Ensure RG → Plan (`P0v3 --is-linux`) → Web App (`--runtime "PYTHON:3.14"`)** exist. On transient ARM errors, follow [transient-retry.md](references/transient-retry.md). [create-app.md](references/create-app.md). 5. **Set startup** — Flask/Django: none (Oryx auto-detects). FastAPI: always `python -m uvicorn main:app --host 0.0.0.0`. Other: warn. [startup-commands.md](references/startup-commands.md). 6. **Set `SCM_DO_BUILD_DURING_DEPLOYMENT=true`**. 7. **Deploy** — `azd deploy` or `az webapp deploy --type zip --track-status false`. 8. **STOP. Print the post-deploy message** ([post-deploy-message.md](references/post-deploy-message.md)) and end the turn.
See [errors.md](references/errors.md) for the full symptom → cause → fix matrix. Quick triage: missing plan/app → re-run Step 4; container ping timeout on 8000 → fix startup (Step 5); `ModuleNotFoundError` after deploy → ensure Step 6 ran, redeploy.
Azure work is not just a code problem. It is a decision problem: which service fits this app, what needs to be validated before deployment, which tools should run, and what guardrails matter.
Repo: microsoft/azure-skills
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