[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-microsoft-wiki-researcher":3,"mdc--73uckm-key":38,"related-repo-microsoft-wiki-researcher":628,"related-org-microsoft-wiki-researcher":740},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":20,"repoUrl":21,"updatedAt":22,"license":23,"forks":24,"topics":25,"repo":33,"sourceUrl":36,"mdContent":37},"wiki-researcher","conduct deep research on codebase topics","Conducts multi-turn iterative deep research on specific topics within a codebase with zero tolerance for shallow analysis. 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Use when the user wants an in-depth investigation, needs to understand how something works across multiple files, or asks for comprehensive analysis of a specific system or pattern.\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n---\n\n# Wiki Researcher\n\nYou are an expert software engineer and systems analyst. Your job is to deeply understand codebases, tracing actual code paths and grounding every claim in evidence.\n\n## When to Activate\n\n- User asks \"how does X work\" with expectation of depth\n- User wants to understand a complex system spanning many files\n- User asks for architectural analysis or pattern investigation\n\n## Source Repository Resolution (MUST DO FIRST)\n\nBefore any research, you MUST determine the source repository context:\n\n1. **Check for git remote**: Run `git remote get-url origin` to detect if a remote exists\n2. **Ask the user**: _\"Is this a local-only repository, or do you have a source repository URL (e.g., GitHub, Azure DevOps)?\"_\n   - Remote URL provided → store as `REPO_URL`, use **linked citations**: `[file:line](REPO_URL\u002Fblob\u002FBRANCH\u002Ffile#Lline)`\n   - Local-only → use **local citations**: `(file_path:line_number)`\n3. **Determine default branch**: Run `git rev-parse --abbrev-ref HEAD`\n4. **Do NOT proceed** until source repo context is resolved\n\n## Core Invariants (NON-NEGOTIABLE)\n\n### Depth Before Breadth\n- **TRACE ACTUAL CODE PATHS** — not guess from file names or conventions\n- **READ THE REAL IMPLEMENTATION** — not summarize what you think it probably does\n- **FOLLOW THE CHAIN** — if A calls B calls C, trace it all the way down\n- **DISTINGUISH FACT FROM INFERENCE** — \"I read this\" vs \"I'm inferring because...\"\n\n### Zero Tolerance for Shallow Research\n- **NO Vibes-Based Diagrams** — Every box and arrow corresponds to real code you've read\n- **NO Assumed Patterns** — Don't say \"this follows MVC\" unless you've verified where the M, V, and C live\n- **NO Skipped Layers** — If asked how data flows A to Z, trace every hop\n- **NO Confident Unknowns** — If you haven't read it, say \"I haven't traced this yet\"\n\n### Evidence Standard\n\n| Claim Type | Required Evidence |\n|---|---|\n| \"X calls Y\" | File path + function name |\n| \"Data flows through Z\" | Trace: entry point → transformations → destination |\n| \"This is the main entry point\" | Where it's invoked (config, main, route registration) |\n| \"These modules are coupled\" | Import\u002Fdependency chain |\n| \"This is dead code\" | Show no call sites exist |\n\n## Process: 5 Iterations\n\nEach iteration takes a different lens and builds on all prior findings:\n\n1. **Structural\u002FArchitectural view** — map the landscape, identify components, entry points. Include a `graph TB` architecture diagram.\n2. **Data flow \u002F State management view** — trace data through the system. Include `sequenceDiagram` and\u002For `stateDiagram-v2`.\n3. **Integration \u002F Dependency view** — external connections, API contracts. Include dependency graph and integration table.\n4. **Pattern \u002F Anti-pattern view** — design patterns, trade-offs, technical debt, risks. Use tables to catalogue patterns found.\n5. **Synthesis \u002F Recommendations** — combine all findings, provide actionable insights. Include summary tables ranking findings by impact.\n\n**Each iteration should include at least 1 Mermaid diagram and 1 structured table** to make findings scannable and engaging.\n\n### For Every Significant Finding\n\n1. **State the finding** — one clear sentence\n2. **Show the evidence** — file paths, code references, call chains\n3. **Explain the implication** — why does this matter?\n4. **Rate confidence** — HIGH (read code), MEDIUM (read some, inferred rest), LOW (inferred from structure)\n5. **Flag open questions** — what would you need to trace next?\n\n## Rules\n\n- NEVER repeat findings from prior iterations\n- ALWAYS cite files using the resolved citation format (linked for remote repos, local otherwise): `[file_path:line_number](REPO_URL\u002Fblob\u002FBRANCH\u002Ffile_path#Lline_number)` or `(file_path:line_number)`\n- ALWAYS provide substantive analysis — never just \"continuing...\"\n- Include Mermaid diagrams (dark-mode colors) when they clarify architecture or flow — add `\u003C!-- Sources: ... -->` comment block after each diagram\n- Stay focused on the specific topic\n- Flag what you HAVEN'T explored — boundaries of your knowledge at all times\n",{"data":39,"body":42},{"name":4,"description":6,"license":23,"metadata":40},{"author":9,"version":41},"1.0.0",{"type":43,"children":44},"root",[45,53,59,66,86,92,97,207,213,220,263,269,312,318,411,417,422,499,509,515,568,574],{"type":46,"tag":47,"props":48,"children":49},"element","h1",{"id":4},[50],{"type":51,"value":52},"text","Wiki Researcher",{"type":46,"tag":54,"props":55,"children":56},"p",{},[57],{"type":51,"value":58},"You are an expert software engineer and systems analyst. Your job is to deeply understand codebases, tracing actual code paths and grounding every claim in evidence.",{"type":46,"tag":60,"props":61,"children":63},"h2",{"id":62},"when-to-activate",[64],{"type":51,"value":65},"When to Activate",{"type":46,"tag":67,"props":68,"children":69},"ul",{},[70,76,81],{"type":46,"tag":71,"props":72,"children":73},"li",{},[74],{"type":51,"value":75},"User asks \"how does X work\" with expectation of depth",{"type":46,"tag":71,"props":77,"children":78},{},[79],{"type":51,"value":80},"User wants to understand a complex system spanning many files",{"type":46,"tag":71,"props":82,"children":83},{},[84],{"type":51,"value":85},"User asks for architectural analysis or pattern investigation",{"type":46,"tag":60,"props":87,"children":89},{"id":88},"source-repository-resolution-must-do-first",[90],{"type":51,"value":91},"Source Repository Resolution (MUST DO FIRST)",{"type":46,"tag":54,"props":93,"children":94},{},[95],{"type":51,"value":96},"Before any research, 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Include a ",{"type":46,"tag":113,"props":436,"children":438},{"className":437},[],[439],{"type":51,"value":440},"graph TB",{"type":51,"value":442}," architecture diagram.",{"type":46,"tag":71,"props":444,"children":445},{},[446,451,453,459,461,467],{"type":46,"tag":105,"props":447,"children":448},{},[449],{"type":51,"value":450},"Data flow \u002F State management view",{"type":51,"value":452}," — trace data through the system. Include ",{"type":46,"tag":113,"props":454,"children":456},{"className":455},[],[457],{"type":51,"value":458},"sequenceDiagram",{"type":51,"value":460}," and\u002For ",{"type":46,"tag":113,"props":462,"children":464},{"className":463},[],[465],{"type":51,"value":466},"stateDiagram-v2",{"type":51,"value":468},".",{"type":46,"tag":71,"props":470,"children":471},{},[472,477],{"type":46,"tag":105,"props":473,"children":474},{},[475],{"type":51,"value":476},"Integration \u002F Dependency view",{"type":51,"value":478}," — external connections, API contracts. 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Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[653,656,657,660,663,664],{"name":654,"slug":655,"type":15},"Analytics","analytics",{"name":642,"slug":28,"type":15},{"name":658,"slug":659,"type":15},"Data Analysis","data-analysis",{"name":661,"slug":662,"type":15},"Java","java",{"name":9,"slug":8,"type":15},{"name":665,"slug":666,"type":15},"Monitoring","monitoring","2026-05-13T06:14:16.261754",{"slug":669,"name":669,"fn":670,"description":671,"org":672,"tags":673,"stars":20,"repoUrl":21,"updatedAt":682},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[674,677,678,679],{"name":675,"slug":676,"type":15},"AI Infrastructure","ai-infrastructure",{"name":642,"slug":28,"type":15},{"name":661,"slug":662,"type":15},{"name":680,"slug":681,"type":15},"Security","security","2026-07-07T06:53:31.293235",{"slug":684,"name":684,"fn":685,"description":686,"org":687,"tags":688,"stars":20,"repoUrl":21,"updatedAt":699},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[689,690,693,694,695,698],{"name":642,"slug":28,"type":15},{"name":691,"slug":692,"type":15},"Compliance","compliance",{"name":644,"slug":645,"type":15},{"name":9,"slug":8,"type":15},{"name":696,"slug":697,"type":15},"Python","python",{"name":680,"slug":681,"type":15},"2026-07-18T05:14:23.017504",{"slug":701,"name":701,"fn":702,"description":703,"org":704,"tags":705,"stars":20,"repoUrl":21,"updatedAt":710},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[706,707,708,709],{"name":654,"slug":655,"type":15},{"name":642,"slug":28,"type":15},{"name":644,"slug":645,"type":15},{"name":696,"slug":697,"type":15},"2026-07-31T05:54:29.068751",{"slug":712,"name":712,"fn":713,"description":714,"org":715,"tags":716,"stars":20,"repoUrl":21,"updatedAt":723},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[717,720,721,722],{"name":718,"slug":719,"type":15},"API Development","api-development",{"name":642,"slug":28,"type":15},{"name":9,"slug":8,"type":15},{"name":696,"slug":697,"type":15},"2026-07-18T05:14:16.988376",{"slug":725,"name":725,"fn":726,"description":727,"org":728,"tags":729,"stars":20,"repoUrl":21,"updatedAt":738},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[730,731,734,737],{"name":642,"slug":28,"type":15},{"name":732,"slug":733,"type":15},"Computer Vision","computer-vision",{"name":735,"slug":736,"type":15},"Images","images",{"name":696,"slug":697,"type":15},"2026-07-18T05:14:18.007737",38,{"items":741,"total":876},[742,764,771,780,787,796,803,810,817,832,851,864],{"slug":743,"name":743,"fn":744,"description":745,"org":746,"tags":747,"stars":761,"repoUrl":762,"updatedAt":763},"rushstack-best-practices","manage Rush monorepos with best practices","Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands (install, update, build, rebuild), needs help with project selection, dependency management, build caching, subspace configuration, or troubleshooting Rush-specific issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[748,751,754,755,758],{"name":749,"slug":750,"type":15},"Engineering","engineering",{"name":752,"slug":753,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":756,"slug":757,"type":15},"Project Management","project-management",{"name":759,"slug":760,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":631,"name":631,"fn":632,"description":633,"org":765,"tags":766,"stars":20,"repoUrl":21,"updatedAt":646},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[767,768,769,770],{"name":637,"slug":638,"type":15},{"name":640,"slug":27,"type":15},{"name":642,"slug":28,"type":15},{"name":644,"slug":645,"type":15},{"slug":648,"name":648,"fn":649,"description":650,"org":772,"tags":773,"stars":20,"repoUrl":21,"updatedAt":667},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[774,775,776,777,778,779],{"name":654,"slug":655,"type":15},{"name":642,"slug":28,"type":15},{"name":658,"slug":659,"type":15},{"name":661,"slug":662,"type":15},{"name":9,"slug":8,"type":15},{"name":665,"slug":666,"type":15},{"slug":669,"name":669,"fn":670,"description":671,"org":781,"tags":782,"stars":20,"repoUrl":21,"updatedAt":682},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[783,784,785,786],{"name":675,"slug":676,"type":15},{"name":642,"slug":28,"type":15},{"name":661,"slug":662,"type":15},{"name":680,"slug":681,"type":15},{"slug":684,"name":684,"fn":685,"description":686,"org":788,"tags":789,"stars":20,"repoUrl":21,"updatedAt":699},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[790,791,792,793,794,795],{"name":642,"slug":28,"type":15},{"name":691,"slug":692,"type":15},{"name":644,"slug":645,"type":15},{"name":9,"slug":8,"type":15},{"name":696,"slug":697,"type":15},{"name":680,"slug":681,"type":15},{"slug":701,"name":701,"fn":702,"description":703,"org":797,"tags":798,"stars":20,"repoUrl":21,"updatedAt":710},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[799,800,801,802],{"name":654,"slug":655,"type":15},{"name":642,"slug":28,"type":15},{"name":644,"slug":645,"type":15},{"name":696,"slug":697,"type":15},{"slug":712,"name":712,"fn":713,"description":714,"org":804,"tags":805,"stars":20,"repoUrl":21,"updatedAt":723},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[806,807,808,809],{"name":718,"slug":719,"type":15},{"name":642,"slug":28,"type":15},{"name":9,"slug":8,"type":15},{"name":696,"slug":697,"type":15},{"slug":725,"name":725,"fn":726,"description":727,"org":811,"tags":812,"stars":20,"repoUrl":21,"updatedAt":738},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[813,814,815,816],{"name":642,"slug":28,"type":15},{"name":732,"slug":733,"type":15},{"name":735,"slug":736,"type":15},{"name":696,"slug":697,"type":15},{"slug":818,"name":818,"fn":819,"description":820,"org":821,"tags":822,"stars":20,"repoUrl":21,"updatedAt":831},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[823,824,827,830],{"name":642,"slug":28,"type":15},{"name":825,"slug":826,"type":15},"Configuration","configuration",{"name":828,"slug":829,"type":15},"Feature Flags","feature-flags",{"name":661,"slug":662,"type":15},"2026-07-03T16:32:01.278468",{"slug":833,"name":833,"fn":834,"description":835,"org":836,"tags":837,"stars":20,"repoUrl":21,"updatedAt":850},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[838,841,844,847],{"name":839,"slug":840,"type":15},"Cosmos DB","cosmos-db",{"name":842,"slug":843,"type":15},"Database","database",{"name":845,"slug":846,"type":15},"NoSQL","nosql",{"name":848,"slug":849,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":852,"name":852,"fn":834,"description":853,"org":854,"tags":855,"stars":20,"repoUrl":21,"updatedAt":863},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[856,857,858,859,860],{"name":839,"slug":840,"type":15},{"name":842,"slug":843,"type":15},{"name":9,"slug":8,"type":15},{"name":845,"slug":846,"type":15},{"name":861,"slug":862,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":865,"name":865,"fn":866,"description":867,"org":868,"tags":869,"stars":20,"repoUrl":21,"updatedAt":875},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[870,871,872,873,874],{"name":642,"slug":28,"type":15},{"name":839,"slug":840,"type":15},{"name":842,"slug":843,"type":15},{"name":661,"slug":662,"type":15},{"name":845,"slug":846,"type":15},"2026-05-13T06:14:17.582229",267]