🤖🤖🤖 Update azure-architecture-autopilot: v0.1.5 engine (routing + UI) (#1451)

* Update azure-architecture-autopilot: v0.1.5 engine (routing overhaul, UI improvements)

Syncs the bundled diagram engine with az-diagram-autogen v0.1.5:
- Edge routing overhaul: zero overlaps, far fewer crossings, section-aware
  detours, outside-VNet routing, orthogonalization pass (no stray diagonals).
- Larger service boxes (+20%), default text scale 1.4x, icon-to-name spacing.
- Interactive A+/A- text-size controls; persistent selection across drag/pan;
  Reset button merged into Fit.
- Darker section outlines for contrast.

No breaking changes — generate_diagram(...) signature and JSON schema unchanged.

Also adds a skill-level README.md for easier browsing on the awesome-copilot repo.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: regenerate agents README

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: whoniiii <whoniiii@users.noreply.github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Jeonghoon Lee
2026-05-08 11:26:06 +09:00
committed by GitHub
parent 2446a2df5c
commit a4ca380b7c
3 changed files with 1124 additions and 303 deletions
+1 -1
View File
@@ -61,7 +61,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
| [autoresearch](../skills/autoresearch/SKILL.md)<br />`gh skills install github/awesome-copilot autoresearch` | Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric. | None |
| [aws-cdk-python-setup](../skills/aws-cdk-python-setup/SKILL.md)<br />`gh skills install github/awesome-copilot aws-cdk-python-setup` | Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS. | None |
| [az-cost-optimize](../skills/az-cost-optimize/SKILL.md)<br />`gh skills install github/awesome-copilot az-cost-optimize` | Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations. | None |
| [azure-architecture-autopilot](../skills/azure-architecture-autopilot/SKILL.md)<br />`gh skills install github/awesome-copilot 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.<br />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 | `.gitignore`<br />`README.md`<br />`assets/06-architecture-diagram.png`<br />`assets/07-azure-portal-resources.png`<br />`assets/08-deployment-succeeded.png`<br />`references/ai-data.md`<br />`references/architecture-guidance-sources.md`<br />`references/azure-common-patterns.md`<br />`references/azure-dynamic-sources.md`<br />`references/bicep-generator.md`<br />`references/bicep-reviewer.md`<br />`references/phase0-scanner.md`<br />`references/phase1-advisor.md`<br />`references/phase4-deployer.md`<br />`references/service-gotchas.md`<br />`scripts/cli.py`<br />`scripts/generator.py`<br />`scripts/icons.py` |
| [azure-architecture-autopilot](../skills/azure-architecture-autopilot/SKILL.md)<br />`gh skills install github/awesome-copilot 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.<br />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 | `.gitignore`<br />`assets/06-architecture-diagram.png`<br />`assets/07-azure-portal-resources.png`<br />`assets/08-deployment-succeeded.png`<br />`references/ai-data.md`<br />`references/architecture-guidance-sources.md`<br />`references/azure-common-patterns.md`<br />`references/azure-dynamic-sources.md`<br />`references/bicep-generator.md`<br />`references/bicep-reviewer.md`<br />`references/phase0-scanner.md`<br />`references/phase1-advisor.md`<br />`references/phase4-deployer.md`<br />`references/service-gotchas.md`<br />`scripts/cli.py`<br />`scripts/generator.py`<br />`scripts/icons.py` |
| [azure-deployment-preflight](../skills/azure-deployment-preflight/SKILL.md)<br />`gh skills install github/awesome-copilot azure-deployment-preflight` | Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision. | `references/ERROR-HANDLING.md`<br />`references/REPORT-TEMPLATE.md`<br />`references/VALIDATION-COMMANDS.md` |
| [azure-devops-cli](../skills/azure-devops-cli/SKILL.md)<br />`gh skills install github/awesome-copilot azure-devops-cli` | Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI. | `references/advanced-usage.md`<br />`references/boards-and-iterations.md`<br />`references/org-and-security.md`<br />`references/pipelines-and-builds.md`<br />`references/repos-and-prs.md`<br />`references/variables-and-agents.md`<br />`references/workflows-and-patterns.md` |
| [azure-pricing](../skills/azure-pricing/SKILL.md)<br />`gh skills install github/awesome-copilot azure-pricing` | Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families. | `references/COPILOT-STUDIO-RATES.md`<br />`references/COST-ESTIMATOR.md`<br />`references/REGIONS.md`<br />`references/SERVICE-NAMES.md` |