[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71B4RGW8YFEAJGSFH3ATBZ4":3,"skill-same:01M71B4RGW8YFEAJGSFH3ATBZ4":77},{"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":24,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":48,"install":49,"resources":62},"01M71B4RGW8YFEAJGSFH3ATBZ4","e2e-testing",null,"Design and run reliable Playwright end-to-end tests with observable outcomes and project-specific fixtures.","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\u002Frepaired\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fselected-structure-reference\u002Fe2e-testing\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fselected-structure-reference\u002Fe2e-testing\u002FSKILL.md",[19],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",[25,26,27,28,29,30,31,32,33,34,35,36],"testing","e2e testing","e2e","design","playwright","run","outcomes","project","fixtures","tests","end","with","2026-11-10 10:12:30",false,"---\nname: e2e-testing\ndescription: Design and run reliable Playwright end-to-end tests with observable outcomes and project-specific fixtures.\n---\n\n# End-to-end testing with Playwright\n\nBefore repository work, read and apply Mandatory agent tools in the repository root at `docs\u002Fagent-tools.md`: Caveman for every task, CocoIndex Code before broad code navigation, and Crawl4AI for web-page research. Retain actual execution evidence.\n\nStart with a user-visible behavior and the project's existing test runner, scripts, browser configuration, and fixture conventions. Use isolated test data, stable selectors that reflect the application's actual interface, and retrying assertions on observable results. Exercise meaningful failure paths and clean up test-owned state. Do not assume particular routes, counts, wallets, services, accounts, or deployment targets exist.\n\nWhen a test needs a particular response, register the response wait before the triggering action. For an application that really sends a search request on input, an illustrative page-object method is:\n\n```typescript\nasync search(query: string) {\n  const [response] = await Promise.all([\n    this.page.waitForResponse(resp => {\n      const url = new URL(resp.url())\n      return resp.request().method() === 'GET' && url.pathname === '\u002Fapi\u002Fsearch' && url.searchParams.get('q') === query\n    }),\n    this.searchInput.fill(query),\n  ])\n  if (!response.ok()) throw new Error(`Search failed: ${response.status()}`)\n}\n```\n\nUse the application's real URL, action, and expected status; if results are local or debounced, choose a matching observable condition instead. After the action, assert the rendered result with Playwright's retrying `expect` rather than assuming the response alone proves correct behavior. Avoid fixed sleeps and generic `networkidle` as readiness signals. Respect existing project timeouts rather than prescribing one for every application.\n\nRun the focused test first, then the relevant project suite and browser coverage required by the change. Capture failures using the project's configured traces, screenshots, and reports; preserve their scope and explain retries, skips, and unavailable environments. A retry can help diagnose flakiness but does not make its cause fixed. Report actual results without claiming that passing tests prove the absence of defects.\n\nThe original upstream skill is preserved at `provenance\u002Foriginal.SKILL.md`. This maintained overlay corrects selected response-ordering and readiness guidance. Component controls do not measure agent effectiveness.\n","# End-to-end testing with Playwright\n\nBefore repository work, read and apply Mandatory agent tools in the repository root at `docs\u002Fagent-tools.md`: Caveman for every task, CocoIndex Code before broad code navigation, and Crawl4AI for web-page research. Retain actual execution evidence.\n\nStart with a user-visible behavior and the project's existing test runner, scripts, browser configuration, and fixture conventions. Use isolated test data, stable selectors that reflect the application's actual interface, and retrying assertions on observable results. Exercise meaningful failure paths and clean up test-owned state. Do not assume particular routes, counts, wallets, services, accounts, or deployment targets exist.\n\nWhen a test needs a particular response, register the response wait before the triggering action. For an application that really sends a search request on input, an illustrative page-object method is:\n\n```typescript\nasync search(query: string) {\n  const [response] = await Promise.all([\n    this.page.waitForResponse(resp => {\n      const url = new URL(resp.url())\n      return resp.request().method() === 'GET' && url.pathname === '\u002Fapi\u002Fsearch' && url.searchParams.get('q') === query\n    }),\n    this.searchInput.fill(query),\n  ])\n  if (!response.ok()) throw new Error(`Search failed: ${response.status()}`)\n}\n```\n\nUse the application's real URL, action, and expected status; if results are local or debounced, choose a matching observable condition instead. After the action, assert the rendered result with Playwright's retrying `expect` rather than assuming the response alone proves correct behavior. Avoid fixed sleeps and generic `networkidle` as readiness signals. Respect existing project timeouts rather than prescribing one for every application.\n\nRun the focused test first, then the relevant project suite and browser coverage required by the change. Capture failures using the project's configured traces, screenshots, and reports; preserve their scope and explain retries, skips, and unavailable environments. A retry can help diagnose flakiness but does not make its cause fixed. Report actual results without claiming that passing tests prove the absence of defects.\n\nThe original upstream skill is preserved at `provenance\u002Foriginal.SKILL.md`. This maintained overlay corrects selected response-ordering and readiness guidance. Component controls do not measure agent effectiveness.\n",{"name":5,"description":7},"main","5c95bcac4646c5aed06bd9aed5235cfc7985aafc","included\u002Frepaired\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fselected-structure-reference\u002Fe2e-testing",0,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked","https:\u002F\u002Fgithub.com\u002Fstrmt7","2026-11-15 03:31:57",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add strmt7\u002Fai_skills_collection_benchmarked --skill e2e-testing",{"tool":55,"command":56},"bunx","bunx skills add strmt7\u002Fai_skills_collection_benchmarked --skill e2e-testing",{"tool":58,"command":59},"pnpm","pnpm dlx skills add strmt7\u002Fai_skills_collection_benchmarked --skill e2e-testing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fselected-structure-reference\u002Fe2e-testing\u002FSKILL.md",true,[63,67,73],{"path":64,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":66,"sourceHtmlUrl":16},"LICENSE","许可证",1071,{"path":68,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":71,"sourceHtmlUrl":72},"provenance\u002Foriginal.SKILL.md","REFERENCE","参考文档",8065,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fselected-structure-reference\u002Fe2e-testing\u002Fprovenance\u002Foriginal.SKILL.md",{"path":74,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":75,"sourceHtmlUrl":76},"repair.json",3141,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fselected-structure-reference\u002Fe2e-testing\u002Frepair.json",[78,105,134,159,185,212],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":82,"licenseFileUrl":83,"sourceHtmlUrl":84,"categories":85,"keywords":90,"publishedAt":37},"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",[86,87],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":88,"categoryName":89,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000009","前端开发",[91,25,92,93,94,95,96,97,98,99,100,36,29,101,102,103,104],"webapp","webapp testing","for","applications","local","frontend","debugging","toolkit","logs","browser","web","behavior","ui","screenshots",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":82,"licenseFileUrl":109,"sourceHtmlUrl":110,"categories":111,"keywords":115,"publishedAt":37},"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",[112],{"categoryNo":113,"categoryName":114,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000023","Skill与智能体开发",[116,117,118,119,120,121,122,123,124,125,126,30,127,128,129,130,131,132,93,133],"skill creator","creator","performance","improve","run evals","new","when","analysis","create","optimize","variance analysis","edit","benchmark","a skill","existing skill","evals","modify","accuracy",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":138,"categories":139,"keywords":142,"publishedAt":37},"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",[140,141],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":113,"categoryName":114,"taxonomyType":22,"taxonomyTypeDesc":23},[29,143,144,145,25,146,147,122,148,100,149,150,151,152,153,154,155,156,157,158],"playwright skill","browser automation","flows","auto","access","Bash","website","ux","login","scripts","read","write","node","install","network","responsive",{"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":82,"licenseFileUrl":163,"sourceHtmlUrl":164,"categories":165,"keywords":167,"publishedAt":37},"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",[166],{"categoryNo":88,"categoryName":89,"taxonomyType":22,"taxonomyTypeDesc":23},[168,169,170,101,171,172,173,93,174,175,96,176,177,178,179,180,181,182,183,184],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","use","file","components","react","multi","state","routing","state management",{"skillNo":186,"name":187,"nameZh":6,"description":188,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":82,"licenseFileUrl":189,"sourceHtmlUrl":190,"categories":191,"keywords":201,"publishedAt":37},"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",[192,193,196],{"categoryNo":88,"categoryName":89,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":194,"categoryName":195,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":197,"categoryName":198,"taxonomyType":199,"taxonomyTypeDesc":200},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[96,28,202,173,203,204,205,94,206,207,177,122,170,208,179,209,180,210,211,36],"frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":213,"name":214,"nameZh":6,"description":215,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":216,"categories":217,"keywords":218,"publishedAt":37},"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",[],[219,220,221,222,223,224,225,226,227,93,228,229,230,231,232,233,234,235],"zarr python","python","zarr","arrays","Cloud Storage","scientific","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines"]