[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71RSWQVRNAR7CPM5XJNP576":3,"skill-same:01M71RSWQVRNAR7CPM5XJNP576":91},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":31,"linkOnly":32,"markdownContent":33,"markdownBody":34,"frontMatter":35,"refName":36,"commitSha":37,"skillDirectory":38,"forksCount":14,"repositoryHtmlUrl":39,"repositoryHomepageUrl":6,"ownerHtmlUrl":40,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":41,"install":42,"resources":55},"01M71RSWQVRNAR7CPM5XJNP576","appinsights-instrumentation",null,"Instrument a webapp to send useful telemetry data to Azure App Insights","TorchiaHub\u002FSkills","TorchiaHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F125223386?v=4","01M71Q3SNKHMKJYN4HGMSQ2CEY","Mattia Torchia","01M71Q3SP6T1Z9NBADBCFP7GM5",0,"MIT","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T115304Z\u002Fsource\u002Fskills\u002Fappinsights-instrumentation\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T115304Z\u002Fsource\u002Fskills\u002Fappinsights-instrumentation\u002FSKILL.md",[],[20,21,22,23,24,25,26,27,28,29,30],"appinsights instrumentation","instrumentation","app","webapp","useful","send","azure","insights","instrument","data","telemetry","2026-11-10 13:02:02",false,"---\nname: appinsights-instrumentation\ndescription: 'Instrument a webapp to send useful telemetry data to Azure App Insights'\n---\n\n# AppInsights instrumentation\n\nThis skill enables sending telemetry data of a webapp to Azure App Insights for better observability of the app's health.\n\n## When to use this skill\n\nUse this skill when the user wants to enable telemetry for their webapp.\n\n## Prerequisites\n\nThe app in the workspace must be one of these kinds\n\n- An ASP.NET Core app hosted in Azure\n- A Node.js app hosted in Azure\n\n## Guidelines\n\n### Collect context information\n\nFind out the (programming language, application framework, hosting) tuple of the application the user is trying to add telemetry support in. This determines how the application can be instrumented. Read the source code to make an educated guess. Confirm with the user on anything you don't know. You must always ask the user where the application is hosted (e.g. on a personal computer, in an Azure App Service as code, in an Azure App Service as container, in an Azure Container App, etc.). \n\n### Prefer auto-instrument if possible\n\nIf the app is a C# ASP.NET Core app hosted in Azure App Service, use [AUTO guide](references\u002FAUTO.md) to help user auto-instrument the app.\n\n### Manually instrument\n\nManually instrument the app by creating the AppInsights resource and update the app's code. \n\n#### Create AppInsights resource\n\nUse one of the following options that fits the environment.\n\n- Add AppInsights to existing Bicep template. See [examples\u002Fappinsights.bicep](examples\u002Fappinsights.bicep) for what to add. This is the best option if there are existing Bicep template files in the workspace.\n- Use Azure CLI. See [scripts\u002Fappinsights.ps1](scripts\u002Fappinsights.ps1) for what Azure CLI command to execute to create the App Insights resource.\n\nNo matter which option you choose, recommend the user to create the App Insights resource in a meaningful resource group that makes managing resources easier. A good candidate will be the same resource group that contains the resources for the hosted app in Azure.\n\n#### Modify application code\n\n- If the app is an ASP.NET Core app, see [ASPNETCORE guide](references\u002FASPNETCORE.md) for how to modify the C# code.\n- If the app is a Node.js app, see [NODEJS guide](references\u002FNODEJS.md) for how to modify the JavaScript\u002FTypeScript code.\n- If the app is a Python app, see [PYTHON guide](references\u002FPYTHON.md) for how to modify the Python code.\n","# AppInsights instrumentation\n\nThis skill enables sending telemetry data of a webapp to Azure App Insights for better observability of the app's health.\n\n## When to use this skill\n\nUse this skill when the user wants to enable telemetry for their webapp.\n\n## Prerequisites\n\nThe app in the workspace must be one of these kinds\n\n- An ASP.NET Core app hosted in Azure\n- A Node.js app hosted in Azure\n\n## Guidelines\n\n### Collect context information\n\nFind out the (programming language, application framework, hosting) tuple of the application the user is trying to add telemetry support in. This determines how the application can be instrumented. Read the source code to make an educated guess. Confirm with the user on anything you don't know. You must always ask the user where the application is hosted (e.g. on a personal computer, in an Azure App Service as code, in an Azure App Service as container, in an Azure Container App, etc.). \n\n### Prefer auto-instrument if possible\n\nIf the app is a C# ASP.NET Core app hosted in Azure App Service, use [AUTO guide](references\u002FAUTO.md) to help user auto-instrument the app.\n\n### Manually instrument\n\nManually instrument the app by creating the AppInsights resource and update the app's code. \n\n#### Create AppInsights resource\n\nUse one of the following options that fits the environment.\n\n- Add AppInsights to existing Bicep template. See [examples\u002Fappinsights.bicep](examples\u002Fappinsights.bicep) for what to add. This is the best option if there are existing Bicep template files in the workspace.\n- Use Azure CLI. See [scripts\u002Fappinsights.ps1](scripts\u002Fappinsights.ps1) for what Azure CLI command to execute to create the App Insights resource.\n\nNo matter which option you choose, recommend the user to create the App Insights resource in a meaningful resource group that makes managing resources easier. A good candidate will be the same resource group that contains the resources for the hosted app in Azure.\n\n#### Modify application code\n\n- If the app is an ASP.NET Core app, see [ASPNETCORE guide](references\u002FASPNETCORE.md) for how to modify the C# code.\n- If the app is a Node.js app, see [NODEJS guide](references\u002FNODEJS.md) for how to modify the JavaScript\u002FTypeScript code.\n- If the app is a Python app, see [PYTHON guide](references\u002FPYTHON.md) for how to modify the Python code.\n",{"name":5,"description":7},"master","e3489bc4e504668e9a2ff8fb73dc086da71328ab","01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T115304Z\u002Fsource\u002Fskills\u002Fappinsights-instrumentation","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills","https:\u002F\u002Fgithub.com\u002FTorchiaHub","2026-06-21 20:40:46",{"source":8,"skillName":5,"commands":43,"prompt":53,"zipAvailable":54},[44,47,50],{"tool":45,"command":46},"npx","npx skills add TorchiaHub\u002FSkills --skill appinsights-instrumentation",{"tool":48,"command":49},"bunx","bunx skills add TorchiaHub\u002FSkills --skill appinsights-instrumentation",{"tool":51,"command":52},"pnpm","pnpm dlx skills add TorchiaHub\u002FSkills --skill 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detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble 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detection",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":140,"publishedAt":31},"01M71VBN3ZPGZT29DK7N7VCT4P","refactor","Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Frefactor\u002FSKILL.md",[134,137],{"categoryNo":135,"categoryName":136,"taxonomyType":103,"taxonomyTypeDesc":104},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":138,"categoryName":139,"taxonomyType":103,"taxonomyTypeDesc":104},"01JBSEEDCAT000000000000015","视觉设计",[130,141,142,143,144,145,146,147,148,125,149,150,151,152,153,154,155,156,157,158],"design patterns","extracting","improve","design","Variables","code","refactoring","Type Safety","patterns","surgical","code refactoring","down","for","repo","use","type","functions","behavior",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":163,"sourceHtmlUrl":164,"categories":165,"keywords":170,"publishedAt":31},"01M71VA75R4MGJXGR0JS727PBV","quality-playbook","Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol with regression test generation, an integration testing protocol, a multi-model spec audit (Council of Three), and an AI bootstrap file (AGENTS.md). Includes state machine completeness analysis and missing safeguard detection. Works with any language (Python, Java, Scala, TypeScript, Go, Rust, etc.). Use this skill whenever the user asks to set up a quality playbook, generate functional tests from specifications, create a quality constitution, build testing protocols, audit code against specs, or establish a repeatable quality system for a project. Also trigger when the user mentions 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', 'coverage theater', or wants to go beyond basic test generation to build a full quality system grounded in their actual codebase.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fquality-playbook\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fquality-playbook\u002FSKILL.md",[166,167],{"categoryNo":135,"categoryName":136,"taxonomyType":103,"taxonomyTypeDesc":104},{"categoryNo":168,"categoryName":169,"taxonomyType":103,"taxonomyTypeDesc":104},"01JBSEEDCAT000000000000008","测试与质量",[171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,153,189],"playbook","quality playbook","quality","project","code review","integration testing","explore","testing","create","functional","generate","spec audit","typescript","go","state machine","full","multi-model","three","system",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":201,"publishedAt":31},"01M71V7TYJZ1C5XD0RRH2P340K","prd","Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fprd\u002FSKILL.md",[196],{"categoryNo":197,"categoryName":198,"taxonomyType":199,"taxonomyTypeDesc":200},"01JBSEEDCAT000000000000031","产品经理","PROFESSION","适用职业",[192,202,153,203,204,205,206,207,208,209,210,181,211,212,173,213,214,215,216,217],"risk","technical","documents","requirements","analysis","stories","summaries","high","product","specifications","risk analysis","features","systems","software","user stories","Product Requirements",{"skillNo":219,"name":220,"nameZh":6,"description":221,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":222,"categories":223,"keywords":224,"publishedAt":31},"01M71V7JFHSJ61847CEY1EM48A","power-platform-architect","Use this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fpower-platform-architect\u002FSKILL.md",[],[225,226,227,228,229,230,231,203,155,232,233,205,234,235,236,237,238,239,240,241],"power","platform","power platform","architect","power platform architect","diagrams","selection","business","when","architecture","needs","case","solution architecture","component","solution","mermaid","meeting",{"skillNo":243,"name":244,"nameZh":6,"description":245,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":246,"categories":247,"keywords":248,"publishedAt":31},"01M71V65KR84TMS1WARE3R11VZ","plantuml-ascii","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","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fplantuml-ascii\u002FSKILL.md",[],[249,250,251,230,252,253,254,233,255,123,179,256,181,257,258,259,260,261,262,155],"plantuml","ascii","plantuml ascii","Unicode","mode","Art","Bash","diagram","terminal","read","write","sequence","plantuml diagrams","ascii art"]