python-appservice-deploy 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 azure-prepare. Published by microsoft in skills.
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Deployment, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is python-appservice-deploy 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 azure-prepare. Published by microsoft in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Deployment use cases
Declared skill metadata
- Declared author: Microsoft
- Declared license: MIT
- Source file: .github/plugins/azure-skills/skills/python-appservice-deploy/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use python-appservice-deploy Skill
- Use it for deployment.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills
- Skill file: .github/plugins/azure-skills/skills/python-appservice-deploy/SKILL.md
What it 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.
Skill instructions
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: mcpazuremcpsubscriptionlist, mcpazuremcpgrouplist, mcpazuremcpappservice, mcpazuremcpazd (when azure.yaml is present). Workflow 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 §1. 2. Detect framework (advisory, never blocks). detect.md. 3. Choose path — azure.yaml host: appservice → deploy-azd.md; else 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. create-app.md. 5. Set startup — Flask/Django: none (Oryx auto-detects). FastAPI: always python -m uvicorn main:app --host 0.0.0.
Verified compatibility and discovery
Frequently asked questions
What is python-appservice-deploy?
python-appservice-deploy is a open-source AI agent skill with Copy skill directory. 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".
Who is python-appservice-deploy best for?
python-appservice-deploy is best for reusing agent instructions, scripts, and references, deployment workflows.
How do I install python-appservice-deploy?
Install or run python-appservice-deploy using Copy skill directory. Check python-appservice-deploy for the latest setup command.
Is python-appservice-deploy actively maintained?
python-appservice-deploy may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
