azure-architecture-autopilot
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2
Profile →npx skills add github/awesome-copilot --skill azure-architecture-autopilot --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Azure Architecture Builder A pipeline that designs Azure infrastructure using natural language, or analyzes existing resources to visualize architecture and proceed through modification and deployment. The diagram engine is **embedded within the skill** (`scripts/` folder). No `pip install` needed — it directly uses the bundled Python scripts to generate interactive HTML diagrams with 605+ official Azure icons. Ready to use immediately without network access or package installation. ## Automatic User Language Detection **🚨 Detect the language of the user's first message and provide all subsequent responses in that language. This is the highest-priority principle.** - If the user writes in Korean → respond in Korean - If the user writes in English → **respond in English** (ask_user, progress updates, reports, Bicep comments — all in English) - The instructions and examples in this document are written in English, and **all user-facing output must match the user's language** **⚠️ Do not copy examples from this document verbatim to the user.** Use only the structure as reference, and adapt text to the user's language. ## Tool Usage Guide (GHCP Environment) | Feature | Tool Name | N
- Automatic User Language Detection
- Tool Usage Guide (GHCP Environment)
- External Tool Path Discovery
- Progress Updates Required
- Parallel Preload Principle
- Path Branching — Automatically Determined by User Request
- Path A: New Design (New Build)
- Path B: Existing Analysis + Modification (Analyze & Modify)
- When Path Determination Is Ambiguous
- Phase Transition Rules
- Service Coverage & Fallback
- Optimized Services
- Other Azure Services
- Stable vs Dynamic Information Handling
What does the azure-architecture-autopilot skill do?
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2
How do I install it?
Run `npx skills add github/awesome-copilot --skill azure-architecture-autopilot --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.