[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71BN3C87RRM0V5A1FF98WNK":3,"skill-same:01M71BN3C87RRM0V5A1FF98WNK":79},{"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":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M71BN3C87RRM0V5A1FF98WNK","wiki-architect",null,"Analyzes code repositories and generates hierarchical documentation structures with onboarding guides. Use when the user wants to create a wiki, generate documentation, map a codebase structure, or understand a project's architecture at a high level.","strmt7\u002Fai_skills_collection_benchmarked","strmt7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F28989754?v=4","01M71929P914SWKQ7QJV24NBBY","Stratos","01M71929Q9VGKQ7PWYR95VSQQQ",1,"MIT","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fwiki-architect\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"wiki architect","architect","wiki","at","microsoft","generate","high","structure","create","with","documentation","guides","architecture","code","when","repositories","use","map","project","generate documentation","2026-11-10 10:12:30",false,"---\nname: wiki-architect\ndescription: Analyzes code repositories and generates hierarchical documentation structures with onboarding guides. Use when the user wants to create a wiki, generate documentation, map a codebase structure, or understand a project's architecture at a high level.\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n---\n\n# Wiki Architect\n\nYou are a documentation architect that produces structured wiki catalogues and onboarding guides from codebases.\n\n## When to Activate\n\n- User asks to \"create a wiki\", \"document this repo\", \"generate docs\"\n- User wants to understand project structure or architecture\n- User asks for a table of contents or documentation plan\n- User asks for an onboarding guide or \"zero to hero\" path\n\n## Source Repository Resolution (MUST DO FIRST)\n\nBefore any analysis, 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## Procedure\n\n1. **Resolve source repo** (see above — MUST be first)\n2. **Scan** the repository file tree and README\n3. **Detect** project type, languages, frameworks, architectural patterns, key technologies\n4. **Identify** layers: presentation, business logic, data access, infrastructure\n5. **Generate** a hierarchical JSON catalogue with:\n   - **Onboarding**: Contributor Guide, Staff Engineer Guide, Executive Guide, Product Manager Guide (in `onboarding\u002F` folder)\n   - **Getting Started**: overview, setup, usage, quick reference\n   - **Deep Dive**: architecture → subsystems → components → methods\n6. **Cite** real files in every section prompt using linked or local citation format\n\n## Onboarding Guide Architecture\n\nThe catalogue MUST include an Onboarding section (always first, uncollapsed) containing:\n\n1. **Contributor Guide** — For new contributors (assumes Python\u002FJS). Progressive depth:\n   - Part I: Language\u002Fframework\u002Ftechnology foundations with cross-language comparisons\n   - Part II: This codebase's architecture and domain model\n   - Part III: Dev setup, testing, codebase navigation, contributing\n   - Appendices: 40+ term glossary, key file reference\n\n2. **Staff Engineer Guide** — For staff\u002Fprincipal ICs. Dense, opinionated. Includes:\n   - The ONE core architectural insight with pseudocode in a different language\n   - System architecture Mermaid diagram, domain model ER diagram\n   - Design tradeoffs, decision log, dependency rationale, \"where to go deep\" reading order\n\n3. **Executive Guide** — For VP\u002Fdirector-level leaders. NO code snippets. Includes:\n   - Capability map, risk assessment, technology investment thesis\n   - Cost\u002Fscaling model, dependency map, actionable recommendations\n\n4. **Product Manager Guide** — For PMs. ZERO engineering jargon. Includes:\n   - User journey maps, feature capability map, known limitations\n   - Data\u002Fprivacy overview, configuration\u002Ffeature flags, FAQ\n\n## Language Detection\n\nDetect primary language from file extensions and build files, then select a comparison language:\n- C#\u002FJava\u002FGo\u002FTypeScript → Python as comparison\n- Python → JavaScript as comparison\n- Rust → C++ or Go as comparison\n\n## Constraints\n\n- Max nesting depth: 4 levels\n- Max 8 children per section\n- Small repos (≤10 files): Getting Started only (skip Deep Dive, still include onboarding)\n- Every prompt must reference specific files\n- Derive all titles from actual repository content — never use generic placeholders\n\n## Output\n\nJSON code block following the catalogue schema with `items[].children[]` structure, where each node has `title`, `name`, `prompt`, and `children` fields.\n","# Wiki Architect\n\nYou are a documentation architect that produces structured wiki catalogues and onboarding guides from codebases.\n\n## When to Activate\n\n- User asks to \"create a wiki\", \"document this repo\", \"generate docs\"\n- User wants to understand project structure or architecture\n- User asks for a table of contents or documentation plan\n- User asks for an onboarding guide or \"zero to hero\" path\n\n## Source Repository Resolution (MUST DO FIRST)\n\nBefore any analysis, 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## Procedure\n\n1. **Resolve source repo** (see above — MUST be first)\n2. **Scan** the repository file tree and README\n3. **Detect** project type, languages, frameworks, architectural patterns, key technologies\n4. **Identify** layers: presentation, business logic, data access, infrastructure\n5. **Generate** a hierarchical JSON catalogue with:\n   - **Onboarding**: Contributor Guide, Staff Engineer Guide, Executive Guide, Product Manager Guide (in `onboarding\u002F` folder)\n   - **Getting Started**: overview, setup, usage, quick reference\n   - **Deep Dive**: architecture → subsystems → components → methods\n6. **Cite** real files in every section prompt using linked or local citation format\n\n## Onboarding Guide Architecture\n\nThe catalogue MUST include an Onboarding section (always first, uncollapsed) containing:\n\n1. **Contributor Guide** — For new contributors (assumes Python\u002FJS). Progressive depth:\n   - Part I: Language\u002Fframework\u002Ftechnology foundations with cross-language comparisons\n   - Part II: This codebase's architecture and domain model\n   - Part III: Dev setup, testing, codebase navigation, contributing\n   - Appendices: 40+ term glossary, key file reference\n\n2. **Staff Engineer Guide** — For staff\u002Fprincipal ICs. Dense, opinionated. Includes:\n   - The ONE core architectural insight with pseudocode in a different language\n   - System architecture Mermaid diagram, domain model ER diagram\n   - Design tradeoffs, decision log, dependency rationale, \"where to go deep\" reading order\n\n3. **Executive Guide** — For VP\u002Fdirector-level leaders. NO code snippets. Includes:\n   - Capability map, risk assessment, technology investment thesis\n   - Cost\u002Fscaling model, dependency map, actionable recommendations\n\n4. **Product Manager Guide** — For PMs. ZERO engineering jargon. Includes:\n   - User journey maps, feature capability map, known limitations\n   - Data\u002Fprivacy overview, configuration\u002Ffeature flags, FAQ\n\n## Language Detection\n\nDetect primary language from file extensions and build files, then select a comparison language:\n- C#\u002FJava\u002FGo\u002FTypeScript → Python as comparison\n- Python → JavaScript as comparison\n- Rust → C++ or Go as comparison\n\n## Constraints\n\n- Max nesting depth: 4 levels\n- Max 8 children per section\n- Small repos (≤10 files): Getting Started only (skip Deep Dive, still include onboarding)\n- Every prompt must reference specific files\n- Derive all titles from actual repository content — never use generic placeholders\n\n## Output\n\nJSON code block following the catalogue schema with `items[].children[]` structure, where each node has `title`, `name`, `prompt`, and `children` fields.\n",{"name":5,"license":15,"metadata":49,"description":7},{"author":50,"version":51},"Microsoft","1.0.0","main","5c95bcac4646c5aed06bd9aed5235cfc7985aafc","included\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fwiki-architect",0,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked","https:\u002F\u002Fgithub.com\u002Fstrmt7","2026-11-11 04:18:12",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add strmt7\u002Fai_skills_collection_benchmarked --skill wiki-architect",{"tool":65,"command":66},"bunx","bunx skills add strmt7\u002Fai_skills_collection_benchmarked --skill wiki-architect",{"tool":68,"command":69},"pnpm","pnpm dlx skills add strmt7\u002Fai_skills_collection_benchmarked --skill wiki-architect","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fwiki-architect\u002FSKILL.md",true,[73],{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"references\u002Facceptance-criteria.md","REFERENCE","参考文档",2205,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fcloud-azure-microsoft-sdks\u002Fofficial-vendor-reference\u002Fwiki-architect\u002Freferences\u002Facceptance-criteria.md",[80,113,141,166,191,216],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":84,"licenseFileUrl":85,"sourceHtmlUrl":86,"categories":87,"keywords":96,"publishedAt":44},"01M71D4H3T6M57DFKN8HENAWRV","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002FSKILL.md",[88,93],{"categoryNo":89,"categoryName":90,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":94,"categoryName":95,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000009","前端开发",[97,98,99,100,101,102,103,104,105,106,107,33,108,109,110,111,112],"webapp","testing","webapp testing","for","applications","local","frontend","debugging","toolkit","logs","browser","playwright","web","behavior","ui","screenshots",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":84,"licenseFileUrl":117,"sourceHtmlUrl":118,"categories":119,"keywords":123,"publishedAt":44},"01M71D4CQR2A2TB7GASCR5ZBG3","skill-creator","Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fskill-creator-anthropics\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fskill-creator-anthropics\u002FSKILL.md",[120],{"categoryNo":121,"categoryName":122,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000023","Skill与智能体开发",[124,125,126,127,128,129,38,130,32,131,132,133,134,135,136,137,138,139,100,140],"skill creator","creator","performance","improve","run evals","new","analysis","optimize","variance analysis","run","edit","benchmark","a skill","existing skill","evals","modify","accuracy",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":149,"publishedAt":44},"01M71D488XHEZVXXSXFYP8ENMH","playwright-skill","Complete browser automation with Playwright. Auto-detects dev servers, writes reusable test scripts, and supports screenshots, responsive checks, UX validation, login flows, link checks, and arbitrary browser automation. Use when the user wants to test a website, automate browser interactions, validate web functionality, or perform browser-based testing.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Flatest-release-browser-automation\u002Fplaywright-skill\u002FSKILL.md",[147,148],{"categoryNo":89,"categoryName":90,"taxonomyType":91,"taxonomyTypeDesc":92},{"categoryNo":121,"categoryName":122,"taxonomyType":91,"taxonomyTypeDesc":92},[108,150,151,152,98,153,154,38,155,107,156,157,158,159,160,161,162,163,164,165],"playwright skill","browser automation","flows","auto","access","Bash","website","ux","login","scripts","read","write","node","install","network","responsive",{"skillNo":167,"name":168,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":84,"licenseFileUrl":170,"sourceHtmlUrl":171,"categories":172,"keywords":174,"publishedAt":44},"01M71CY25GM939M6RES91QSG3T","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Fweb-artifacts-builder\u002FSKILL.md",[173],{"categoryNo":94,"categoryName":95,"taxonomyType":91,"taxonomyTypeDesc":92},[175,176,177,109,178,179,180,100,181,182,103,183,40,184,185,186,187,188,189,190],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","multi","state","routing","state management",{"skillNo":192,"name":193,"nameZh":6,"description":194,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":84,"licenseFileUrl":195,"sourceHtmlUrl":196,"categories":197,"keywords":205,"publishedAt":44},"01M71CXZB60QJJ1H4S3NN94WMZ","frontend-design","Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML\u002FCSS layouts, or when styling\u002Fbeautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fsearch-retrieval-web-automation\u002Fofficial-reference\u002Ffrontend-design\u002FSKILL.md",[198,199,202],{"categoryNo":94,"categoryName":95,"taxonomyType":91,"taxonomyTypeDesc":92},{"categoryNo":200,"categoryName":201,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":203,"categoryName":204,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000032","设计师",[103,206,207,180,208,209,210,101,211,212,40,38,177,37,185,213,186,214,215,33],"design","frontend design","ui design","generic","aesthetics","landing","pages","web ui","react components","examples",{"skillNo":217,"name":218,"nameZh":6,"description":219,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":220,"categories":221,"keywords":222,"publishedAt":44},"01M71CVZ54WFBTVA7R16PFY1ZE","zarr-python","Chunked N-D arrays for cloud storage. Compressed arrays, parallel I\u002FO, S3\u002FGCS integration, NumPy\u002FDask\u002FXarray compatible, for large-scale scientific computing pipelines.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fzarr-python\u002FSKILL.md",[],[223,224,225,226,227,228,229,230,231,100,232,233,234,235,236,237,238,239],"zarr python","python","zarr","arrays","Cloud Storage","scientific","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines"]