Skip to content
mcp/skillhub

Agent Skill

Azure Architecture Autopilot skill

azure-architecture-autopilotgithub/awesome-copilotskills/azure-architecture-autopilot/SKILL.md

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, Databricks, and all Azure services

40kMIT

always on

149 tokname + description

once used

1,631 tokSKILL.md body

bundled files

173 scripts

repo stars

40kGitHub

Install the Azure Architecture Autopilot skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/github/awesome-copilot --skill azure-architecture-autopilot

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p ~/.claude/skills
cp -R /tmp/awesome-copilot/skills/azure-architecture-autopilot ~/.claude/skills/azure-architecture-autopilot

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description149 tok
When the agent uses itThe SKILL.md instructions1,631 tok
Only if opened17 bundled files (2.8 MB)varies

Until it is used, azure-architecture-autopilot costs about 9.1× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 150 skills from github/awesome-copilot would load 9,863 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Azure Architecture Builder
  • 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
  • Quick Reference

More skills from github/awesome-copilot

All skills in this repo
  1. acquire-codebase-knowledgegithub/awesome-copilot

    Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

    40k182 tok idle · 1,945 in use
  2. acreadiness-assessgithub/awesome-copilot

    Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

    40k82 tok idle · 678 in use
  3. acreadiness-generate-instructionsgithub/awesome-copilot

    Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.

    40k77 tok idle · 1,995 in use
  4. acreadiness-policygithub/awesome-copilot

    Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.

    40k73 tok idle · 879 in use
  5. ad-campaign-analyzergithub/awesome-copilot

    Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.

    40k80 tok idle · 3,472 in use
  6. add-educational-commentsgithub/awesome-copilot

    Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

    40k27 tok idle · 1,301 in use
  7. adobe-illustrator-scriptinggithub/awesome-copilot

    Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.

    40k80 tok idle · 8,741 in use
  8. agent-architecturegithub/awesome-copilot

    Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review.

    40k32 tok idle · 1,816 in use