feat(skills): add IoT edge skills and align agent/instruction docs (#1431)

* feat(skills): add IoT edge skills and align agent/instruction docs

* fix(ci): handle fork permission errors in plugin structure check

* fix(ci): allow intentional Spanish vocabulary in codespell

* docs(skills): translate IoT edge skill content to English

* fix(ci): pass codespell and README validation

* chore: regenerate skills index after merge

docs/README.skills.md

@@ -40,6 +40,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
 | [apple-appstore-reviewer](../skills/apple-appstore-reviewer/SKILL.md)<br />`gh skills install github/awesome-copilot apple-appstore-reviewer` | Serves as a reviewer of the codebase with instructions on looking for Apple App Store optimizations or rejection reasons. | None |
 | [arch-linux-triage](../skills/arch-linux-triage/SKILL.md)<br />`gh skills install github/awesome-copilot arch-linux-triage` | Triage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices. | None |
 | [architecture-blueprint-generator](../skills/architecture-blueprint-generator/SKILL.md)<br />`gh skills install github/awesome-copilot architecture-blueprint-generator` | Comprehensive project architecture blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks and architectural patterns, generates visual diagrams, documents implementation patterns, and provides extensible blueprints for maintaining architectural consistency and guiding new development. | None |
+| [arduino-azure-iot-edge-integration](../skills/arduino-azure-iot-edge-integration/SKILL.md)<br />`gh skills install github/awesome-copilot arduino-azure-iot-edge-integration` | Design and implement Arduino integration with Azure IoT Hub and IoT Edge, including secure provisioning, resilient telemetry, command handling, and production guardrails. | `references/arduino-iot-checklist.md`<br />`references/arduino-official-best-practices.md` |
 | [arize-ai-provider-integration](../skills/arize-ai-provider-integration/SKILL.md)<br />`gh skills install github/awesome-copilot arize-ai-provider-integration` | INVOKE THIS SKILL when creating, reading, updating, or deleting Arize AI integrations. Covers listing integrations, creating integrations for any supported LLM provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, custom), updating credentials or metadata, and deleting integrations using the ax CLI. | `references/ax-profiles.md`<br />`references/ax-setup.md` |
 | [arize-annotation](../skills/arize-annotation/SKILL.md)<br />`gh skills install github/awesome-copilot arize-annotation` | INVOKE THIS SKILL when creating, managing, or using annotation configs on Arize (categorical, continuous, freeform), or applying human annotations to project spans via the Python SDK. Configs are the label schema for human feedback on spans and other surfaces in the Arize UI. Triggers: annotation config, label schema, human feedback schema, bulk annotate spans, update_annotations. | `references/ax-profiles.md`<br />`references/ax-setup.md` |
 | [arize-dataset](../skills/arize-dataset/SKILL.md)<br />`gh skills install github/awesome-copilot arize-dataset` | INVOKE THIS SKILL when creating, managing, or querying Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. | `references/ax-profiles.md`<br />`references/ax-setup.md` |
@@ -56,13 +57,14 @@ 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 />`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 />`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-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` |
 | [azure-resource-health-diagnose](../skills/azure-resource-health-diagnose/SKILL.md)<br />`gh skills install github/awesome-copilot azure-resource-health-diagnose` | Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems. | None |
 | [azure-resource-visualizer](../skills/azure-resource-visualizer/SKILL.md)<br />`gh skills install github/awesome-copilot azure-resource-visualizer` | Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help in understanding how the resources relate to each other. | `LICENSE.txt`<br />`assets/template-architecture.md` |
 | [azure-role-selector](../skills/azure-role-selector/SKILL.md)<br />`gh skills install github/awesome-copilot azure-role-selector` | When user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role. | `LICENSE.txt` |
+| [azure-smart-city-iot-solution-builder](../skills/azure-smart-city-iot-solution-builder/SKILL.md)<br />`gh skills install github/awesome-copilot azure-smart-city-iot-solution-builder` | Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts. | `references/smart-city-solution-template.md` |
 | [azure-static-web-apps](../skills/azure-static-web-apps/SKILL.md)<br />`gh skills install github/awesome-copilot azure-static-web-apps` | Helps create, configure, and deploy Azure Static Web Apps using the SWA CLI. Use when deploying static sites to Azure, setting up SWA local development, configuring staticwebapp.config.json, adding Azure Functions APIs to SWA, or setting up GitHub Actions CI/CD for Static Web Apps. | None |
 | [batch-files](../skills/batch-files/SKILL.md)<br />`gh skills install github/awesome-copilot batch-files` | Expert-level Windows batch file (.bat/.cmd) skill for writing, debugging, and maintaining CMD scripts. Use when asked to "create a batch file", "write a .bat script", "automate a Windows task", "CMD scripting", "batch automation", "scheduled task script", "Windows shell script", or when working with .bat/.cmd files in the workspace. Covers cmd.exe syntax, environment variables, control flow, string processing, error handling, and integration with system tools. | `assets/executable.txt`<br />`assets/library.txt`<br />`assets/task.txt`<br />`references/batch-files-and-functions.md`<br />`references/cygwin.md`<br />`references/msys2.md`<br />`references/tools-and-resources.md`<br />`references/windows-commands.md`<br />`references/windows-subsystem-on-linux.md` |
 | [bigquery-pipeline-audit](../skills/bigquery-pipeline-audit/SKILL.md)<br />`gh skills install github/awesome-copilot bigquery-pipeline-audit` | Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations. | None |
@@ -260,6 +262,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
 | [prompt-builder](../skills/prompt-builder/SKILL.md)<br />`gh skills install github/awesome-copilot prompt-builder` | Guide users through creating high-quality GitHub Copilot prompts with proper structure, tools, and best practices. | None |
 | [publish-to-pages](../skills/publish-to-pages/SKILL.md)<br />`gh skills install github/awesome-copilot publish-to-pages` | Publish presentations and web content to GitHub Pages. Converts PPTX, PDF, HTML, or Google Slides to a live GitHub Pages URL. Handles repo creation, file conversion, Pages enablement, and returns the live URL. Use when the user wants to publish, deploy, or share a presentation or HTML file via GitHub Pages. | `scripts/convert-pdf.py`<br />`scripts/convert-pptx.py`<br />`scripts/publish.sh` |
 | [pytest-coverage](../skills/pytest-coverage/SKILL.md)<br />`gh skills install github/awesome-copilot pytest-coverage` | Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%. | None |
+| [python-azure-iot-edge-modules](../skills/python-azure-iot-edge-modules/SKILL.md)<br />`gh skills install github/awesome-copilot python-azure-iot-edge-modules` | Build and operate Python Azure IoT Edge modules with robust messaging, deployment manifests, observability, and production readiness checks. | `references/python-edge-module-template.md`<br />`references/python-official-best-practices.md` |
 | [python-mcp-server-generator](../skills/python-mcp-server-generator/SKILL.md)<br />`gh skills install github/awesome-copilot python-mcp-server-generator` | Generate a complete MCP server project in Python with tools, resources, and proper configuration | None |
 | [python-pypi-package-builder](../skills/python-pypi-package-builder/SKILL.md)<br />`gh skills install github/awesome-copilot python-pypi-package-builder` | End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing. | `references/architecture-patterns.md`<br />`references/ci-publishing.md`<br />`references/community-docs.md`<br />`references/library-patterns.md`<br />`references/pyproject-toml.md`<br />`references/release-governance.md`<br />`references/testing-quality.md`<br />`references/tooling-ruff.md`<br />`references/versioning-strategy.md`<br />`scripts/scaffold.py` |
 | [qdrant-clients-sdk](../skills/qdrant-clients-sdk/SKILL.md)<br />`gh skills install github/awesome-copilot qdrant-clients-sdk` | Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments. | None |