Python on Azure App Service — Code Deploy
Deploy Flask, Django, or FastAPI code to Azure App Service Linux: smart defaults, framework detection, azd or az CLI path
- What
- Deploy Flask, Django, or FastAPI code to Azure App Service Linux: smart defaults, framework detection, azd or az CLI path
- Cost
- Free
- Needs
- an Azure subscription (the default P0v3 plan is billable), `az` CLI (or azd for the azd path), and a Python web app (Flask, Django, FastAPI) to deploy.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — a no-drama deploy skill for Python web apps on Azure App Service Linux. It resolves context with smart defaults (only the app name is interactive; resource group, plan and region are derived), detects the framework advisory-style, picks the deploy path — `azd deploy` when `azure.yaml` is present, `az webapp deploy` otherwise — creates the resource group, plan and web app if missing, sets the right startup command (FastAPI gets the uvicorn command, Flask/Django rely on Oryx auto-detect), enables build-during-deployment, deploys, then stops and prints a post-deploy message. Its hard rules are the point: never `az webapp up` (deprecated), never verify post-deploy (App Service needs 2–3 minutes to warm up), always `"PYTHON:3.14"` with a colon, and hands off to `azure-prepare` for VNet, Key Vault, databases or IaC. By @microsoft, listed here with credit to its creator. Honest caveats: you need an Azure subscription (the default P0v3 plan is billable) and `az` CLI or azd; it deploys code only — anything beyond that is another skill's job. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Prerequisites: an Azure subscription (the default P0v3 plan is billable), `az` CLI (or azd for the azd path), and a Python web app (Flask, Django, FastAPI) to deploy. Install "Python on Azure App Service — Code Deploy" for me. It deploys Flask, Django, or FastAPI code to Azure App Service Linux with smart defaults, framework detection, and an azd or az CLI path. Repository: https://github.com/microsoft/azure-skills/blob/main/.github/plugins/azure-skills/skills/python-appservice-deploy/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "microsoft-azure-python-appservice-deploy". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. confirm my Azure login). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.