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azure-scaffold-wizard Skill

AI Agent SkillCloud & DevOpsOpen source

Scaffold a complete, production-ready Azure project from scratch for ANY use case: RAG chatbots, multi-agent systems, API backends, data pipelines, Azure Functions, full-stack web apps, ML training/inference, or event-driven microservices. USE FOR: gathering requirements through adaptive questioning, generating complet Published by microsoft in Foundry-AI-solution-templates-creation.

What is azure-scaffold-wizard Skill?

Scaffold a complete, production-ready Azure project from scratch for ANY use case: RAG chatbots, multi-agent systems, API backends, data pipelines, Azure Functions, full-stack web apps, ML training/inference, or event-driven microservices. USE FOR: gathering requirements through adaptive questioning, generating complet Published by microsoft in Foundry-AI-solution-templates-creation. 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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
22/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Deployment
  • Documentation
  • Data analysis
  • Research
  • Deployment use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use azure-scaffold-wizard Skill

  • Use it for deployment.
  • Use it for documentation.
  • Use it for data analysis.
  • Use it for research.

Built with

Copy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/Foundry-AI-solution-templates-creation
  • Skill file: SKILL.md

What it does

Scaffold a complete, production-ready Azure project from scratch for ANY use case: RAG chatbots, multi-agent systems, API backends, data pipelines, Azure Functions, full-stack web apps, ML training/inference, or event-driven microservices. USE FOR: gathering requirements through adaptive questioning, generating complet

Skill instructions

Azure Scaffold Wizard — Universal Project Generator This skill generates a complete, production-ready Azure project deployable with azd up. It is fully domain-agnostic and applies to any use case. It produces every file needed: requirements documentation, project structure with all source files, README, Azure Bicep infrastructure, azure.yaml, Docker configuration, CI/CD workflows, architecture diagrams, observability setup, and Responsible AI documentation. --- Required Workflow Follow these steps in order. Do not skip or reorder steps. Each step's output feeds the next. --- Step 1 — Identify Project Type and Gather Requirements This is the most critical step. Do not generate any files until this step is complete. 1A — Project Type Selection Ask the user: "What type of Azure project do you want to build?" Present these options: | | Project Type | Description | When to Choose | |---|---|---|---| | 1 | RAG Chatbot | Retrieval-Augmented Generation chatbot with vector search | Conversation

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Frequently asked questions

What is azure-scaffold-wizard?

azure-scaffold-wizard is a open-source AI agent skill with Copy skill directory. Scaffold a complete, production-ready Azure project from scratch for ANY use case: RAG chatbots, multi-agent systems, API backends, data pipelines, Azure Functions, full-stack web apps, ML.

Who is azure-scaffold-wizard best for?

azure-scaffold-wizard is best for reusing agent instructions, scripts, and references, deployment workflows, documentation workflows, data analysis workflows.

How do I install azure-scaffold-wizard?

Install or run azure-scaffold-wizard using Copy skill directory. Check azure-scaffold-wizard for the latest setup command.

Is azure-scaffold-wizard actively maintained?

azure-scaffold-wizard may need a closer maintenance check before production use.

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Stars
7
Forks
4
Last commit
3 months ago
Repository age
4 months
License
MIT

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