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python-appservice-deployPurpose, usage and source

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.

Source retrieved:

Source repository
microsoft/skills
SKILL.md
.github/plugins/azure-skills/skills/python-appservice-deploy/SKILL.md
Repository stars
3,157
Repository updated
2026-10-31
Categories
Cloud
Last collected

License: License file needs review

Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.

The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.

What this Skill does

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.

How the upstream workflow works

Workflow

Resolve context — smart defaults, minimal prompts. Only the app name is interactive; RG (-rg), Plan (-plan), region (current az default or eastus2), subscription are derived. create-app.md §1. Detect framework (advisory, never blocks). detect.md. Choose path — azure.yaml host: appservice → deploy-azd.md; else deploy-azcli.md. Ensure RG → Plan (P0v3 --is-linux) → Web App (--runtime "PYTHON:3.14") exist. On transient ARM errors, follow transient-retry.md. create-app.md.

Upstream passage · L16 ↗

Python on Azure App Service — Code Deploy

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).

Upstream passage · L10 ↗

Hard rules

⛔ NO POST-DEPLOY VERIFICATION — after deploy returns, do not run az webapp log tail, curl, Invoke-WebRequest, or any health probe. App Service needs 2–3 min to warm; a quiet log or early 5xx is not failure. ⛔ SHELL SAFETY — for --runtime always use "PYTHON:3.14" (colon). Never "PYTHON|3.14" (pipe is a shell operator).

Upstream passage · L27 ↗

Requirements and setup

No short requirements passage was selected from this file. This does not mean the Skill has no dependencies. Check the repository setup instructions and referenced files.

Limits and quality checks

No separate limits passage was selected from this file. This does not mean the Skill is safe for every input or environment. Review the complete source and validate your own result.

Start with a safe trial

  1. Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
  2. Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
  3. Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
  4. Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.

Skill format and directory specification ↗

Read further in the source

Translation and scope

This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.

This introduction refers to the pinned version below; current repository activity and collection time are shown separately.

Source retrieved
Source commit
00d66a64919edca5bca2c673373444e36a4b5461
Source SHA-256
17a263999dfd82daf0c1aa826e5b7656c21a0dec5d9c458cbf2e32b9418100e3
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