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Remove README.md files from azure-architecture-autopilot and phoenix-tracing skills (#1423)

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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: aaronpowell <434140+aaronpowell@users.noreply.github.com>
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2026-04-17 11:07:05 +10:00
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@@ -52,7 +52,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
| [autoresearch](../skills/autoresearch/SKILL.md) | 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) | 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) | 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) | 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) | 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) | 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) | 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) | 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` |
@@ -225,7 +225,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
| [penpot-uiux-design](../skills/penpot-uiux-design/SKILL.md) | Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: "design a UI", "create interface", "build layout", "design dashboard", "create form", "design landing page", "make it accessible", "design system", "component library". | `references/accessibility.md`<br />`references/component-patterns.md`<br />`references/platform-guidelines.md`<br />`references/setup-troubleshooting.md` |
| [phoenix-cli](../skills/phoenix-cli/SKILL.md) | Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues. | None |
| [phoenix-evals](../skills/phoenix-evals/SKILL.md) | Build and run evaluators for AI/LLM applications using Phoenix. | `references/axial-coding.md`<br />`references/common-mistakes-python.md`<br />`references/error-analysis-multi-turn.md`<br />`references/error-analysis.md`<br />`references/evaluate-dataframe-python.md`<br />`references/evaluators-code-python.md`<br />`references/evaluators-code-typescript.md`<br />`references/evaluators-custom-templates.md`<br />`references/evaluators-llm-python.md`<br />`references/evaluators-llm-typescript.md`<br />`references/evaluators-overview.md`<br />`references/evaluators-pre-built.md`<br />`references/evaluators-rag.md`<br />`references/experiments-datasets-python.md`<br />`references/experiments-datasets-typescript.md`<br />`references/experiments-overview.md`<br />`references/experiments-running-python.md`<br />`references/experiments-running-typescript.md`<br />`references/experiments-synthetic-python.md`<br />`references/experiments-synthetic-typescript.md`<br />`references/fundamentals-anti-patterns.md`<br />`references/fundamentals-model-selection.md`<br />`references/fundamentals.md`<br />`references/observe-sampling-python.md`<br />`references/observe-sampling-typescript.md`<br />`references/observe-tracing-setup.md`<br />`references/production-continuous.md`<br />`references/production-guardrails.md`<br />`references/production-overview.md`<br />`references/setup-python.md`<br />`references/setup-typescript.md`<br />`references/validation-evaluators-python.md`<br />`references/validation-evaluators-typescript.md`<br />`references/validation.md` |
| [phoenix-tracing](../skills/phoenix-tracing/SKILL.md) | OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production. | `README.md`<br />`references/annotations-overview.md`<br />`references/annotations-python.md`<br />`references/annotations-typescript.md`<br />`references/fundamentals-flattening.md`<br />`references/fundamentals-overview.md`<br />`references/fundamentals-required-attributes.md`<br />`references/fundamentals-universal-attributes.md`<br />`references/instrumentation-auto-python.md`<br />`references/instrumentation-auto-typescript.md`<br />`references/instrumentation-manual-python.md`<br />`references/instrumentation-manual-typescript.md`<br />`references/metadata-python.md`<br />`references/metadata-typescript.md`<br />`references/production-python.md`<br />`references/production-typescript.md`<br />`references/projects-python.md`<br />`references/projects-typescript.md`<br />`references/sessions-python.md`<br />`references/sessions-typescript.md`<br />`references/setup-python.md`<br />`references/setup-typescript.md`<br />`references/span-agent.md`<br />`references/span-chain.md`<br />`references/span-embedding.md`<br />`references/span-evaluator.md`<br />`references/span-guardrail.md`<br />`references/span-llm.md`<br />`references/span-reranker.md`<br />`references/span-retriever.md`<br />`references/span-tool.md` |
| [phoenix-tracing](../skills/phoenix-tracing/SKILL.md) | OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production. | `references/annotations-overview.md`<br />`references/annotations-python.md`<br />`references/annotations-typescript.md`<br />`references/fundamentals-flattening.md`<br />`references/fundamentals-overview.md`<br />`references/fundamentals-required-attributes.md`<br />`references/fundamentals-universal-attributes.md`<br />`references/instrumentation-auto-python.md`<br />`references/instrumentation-auto-typescript.md`<br />`references/instrumentation-manual-python.md`<br />`references/instrumentation-manual-typescript.md`<br />`references/metadata-python.md`<br />`references/metadata-typescript.md`<br />`references/production-python.md`<br />`references/production-typescript.md`<br />`references/projects-python.md`<br />`references/projects-typescript.md`<br />`references/sessions-python.md`<br />`references/sessions-typescript.md`<br />`references/setup-python.md`<br />`references/setup-typescript.md`<br />`references/span-agent.md`<br />`references/span-chain.md`<br />`references/span-embedding.md`<br />`references/span-evaluator.md`<br />`references/span-guardrail.md`<br />`references/span-llm.md`<br />`references/span-reranker.md`<br />`references/span-retriever.md`<br />`references/span-tool.md` |
| [php-mcp-server-generator](../skills/php-mcp-server-generator/SKILL.md) | Generate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDK | None |
| [planning-oracle-to-postgres-migration-integration-testing](../skills/planning-oracle-to-postgres-migration-integration-testing/SKILL.md) | Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation. | None |
| [plantuml-ascii](../skills/plantuml-ascii/SKILL.md) | Generate ASCII art diagrams using PlantUML text mode. Use when user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, ascii art diagram. Supports: Converting PlantUML diagrams to ASCII art, Creating sequence diagrams, class diagrams, flowcharts in ASCII format, Generating Unicode-enhanced ASCII art with -utxt flag | None |