[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71D4H3T6M57DFKN8HENAWRV":3,"skill-same:01M71D4H3T6M57DFKN8HENAWRV":95},{"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":27,"publishedAt":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M71D4H3T6M57DFKN8HENAWRV","webapp-testing",null,"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.","strmt7\u002Fai_skills_collection_benchmarked","strmt7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F28989754?v=4","01M71929P914SWKQ7QJV24NBBY","Stratos","01M71929Q9VGKQ7PWYR95VSQQQ",1,"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",[19,24],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000009","前端开发",[28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"webapp testing","webapp","testing","browser","for","with","local","behavior","applications","logs","ui","toolkit","debugging","web","playwright","screenshots","frontend","2026-11-10 10:12:30",false,"---\nname: webapp-testing\ndescription: 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.\nlicense: Complete terms in LICENSE.txt\n---\n\n# Web Application Testing\n\nTo test local web applications, write native Python Playwright scripts.\n\n**Helper Scripts Available**:\n- `scripts\u002Fwith_server.py` - Manages server lifecycle (supports multiple servers)\n\n**Always run scripts with `--help` first** to see usage. DO NOT read the source until you try running the script first and find that a customized solution is abslutely necessary. These scripts can be very large and thus pollute your context window. They exist to be called directly as black-box scripts rather than ingested into your context window.\n\n## Decision Tree: Choosing Your Approach\n\n```\nUser task → Is it static HTML?\n    ├─ Yes → Read HTML file directly to identify selectors\n    │         ├─ Success → Write Playwright script using selectors\n    │         └─ Fails\u002FIncomplete → Treat as dynamic (below)\n    │\n    └─ No (dynamic webapp) → Is the server already running?\n        ├─ No → Run: python scripts\u002Fwith_server.py --help\n        │        Then use the helper + write simplified Playwright script\n        │\n        └─ Yes → Reconnaissance-then-action:\n            1. Navigate and wait for networkidle\n            2. Take screenshot or inspect DOM\n            3. Identify selectors from rendered state\n            4. Execute actions with discovered selectors\n```\n\n## Example: Using with_server.py\n\nTo start a server, run `--help` first, then use the helper:\n\n**Single server:**\n```bash\npython scripts\u002Fwith_server.py --server \"npm run dev\" --port 5173 -- python your_automation.py\n```\n\n**Multiple servers (e.g., backend + frontend):**\n```bash\npython scripts\u002Fwith_server.py \\\n  --server \"cd backend && python server.py\" --port 3000 \\\n  --server \"cd frontend && npm run dev\" --port 5173 \\\n  -- python your_automation.py\n```\n\nTo create an automation script, include only Playwright logic (servers are managed automatically):\n```python\nfrom playwright.sync_api import sync_playwright\n\nwith sync_playwright() as p:\n    browser = p.chromium.launch(headless=True) # Always launch chromium in headless mode\n    page = browser.new_page()\n    page.goto('http:\u002F\u002Flocalhost:5173') # Server already running and ready\n    page.wait_for_load_state('networkidle') # CRITICAL: Wait for JS to execute\n    # ... your automation logic\n    browser.close()\n```\n\n## Reconnaissance-Then-Action Pattern\n\n1. **Inspect rendered DOM**:\n   ```python\n   page.screenshot(path='\u002Ftmp\u002Finspect.png', full_page=True)\n   content = page.content()\n   page.locator('button').all()\n   ```\n\n2. **Identify selectors** from inspection results\n\n3. **Execute actions** using discovered selectors\n\n## Common Pitfall\n\n❌ **Don't** inspect the DOM before waiting for `networkidle` on dynamic apps\n✅ **Do** wait for `page.wait_for_load_state('networkidle')` before inspection\n\n## Best Practices\n\n- **Use bundled scripts as black boxes** - To accomplish a task, consider whether one of the scripts available in `scripts\u002F` can help. These scripts handle common, complex workflows reliably without cluttering the context window. Use `--help` to see usage, then invoke directly.\n- Use `sync_playwright()` for synchronous scripts\n- Always close the browser when done\n- Use descriptive selectors: `text=`, `role=`, CSS selectors, or IDs\n- Add appropriate waits: `page.wait_for_selector()` or `page.wait_for_timeout()`\n\n## Reference Files\n\n- **examples\u002F** - Examples showing common patterns:\n  - `element_discovery.py` - Discovering buttons, links, and inputs on a page\n  - `static_html_automation.py` - Using file:\u002F\u002F URLs for local HTML\n  - `console_logging.py` - Capturing console logs during automation\n","# Web Application Testing\n\nTo test local web applications, write native Python Playwright scripts.\n\n**Helper Scripts Available**:\n- `scripts\u002Fwith_server.py` - Manages server lifecycle (supports multiple servers)\n\n**Always run scripts with `--help` first** to see usage. DO NOT read the source until you try running the script first and find that a customized solution is abslutely necessary. These scripts can be very large and thus pollute your context window. They exist to be called directly as black-box scripts rather than ingested into your context window.\n\n## Decision Tree: Choosing Your Approach\n\n```\nUser task → Is it static HTML?\n    ├─ Yes → Read HTML file directly to identify selectors\n    │         ├─ Success → Write Playwright script using selectors\n    │         └─ Fails\u002FIncomplete → Treat as dynamic (below)\n    │\n    └─ No (dynamic webapp) → Is the server already running?\n        ├─ No → Run: python scripts\u002Fwith_server.py --help\n        │        Then use the helper + write simplified Playwright script\n        │\n        └─ Yes → Reconnaissance-then-action:\n            1. Navigate and wait for networkidle\n            2. Take screenshot or inspect DOM\n            3. Identify selectors from rendered state\n            4. Execute actions with discovered selectors\n```\n\n## Example: Using with_server.py\n\nTo start a server, run `--help` first, then use the helper:\n\n**Single server:**\n```bash\npython scripts\u002Fwith_server.py --server \"npm run dev\" --port 5173 -- python your_automation.py\n```\n\n**Multiple servers (e.g., backend + frontend):**\n```bash\npython scripts\u002Fwith_server.py \\\n  --server \"cd backend && python server.py\" --port 3000 \\\n  --server \"cd frontend && npm run dev\" --port 5173 \\\n  -- python your_automation.py\n```\n\nTo create an automation script, include only Playwright logic (servers are managed automatically):\n```python\nfrom playwright.sync_api import sync_playwright\n\nwith sync_playwright() as p:\n    browser = p.chromium.launch(headless=True) # Always launch chromium in headless mode\n    page = browser.new_page()\n    page.goto('http:\u002F\u002Flocalhost:5173') # Server already running and ready\n    page.wait_for_load_state('networkidle') # CRITICAL: Wait for JS to execute\n    # ... your automation logic\n    browser.close()\n```\n\n## Reconnaissance-Then-Action Pattern\n\n1. **Inspect rendered DOM**:\n   ```python\n   page.screenshot(path='\u002Ftmp\u002Finspect.png', full_page=True)\n   content = page.content()\n   page.locator('button').all()\n   ```\n\n2. **Identify selectors** from inspection results\n\n3. **Execute actions** using discovered selectors\n\n## Common Pitfall\n\n❌ **Don't** inspect the DOM before waiting for `networkidle` on dynamic apps\n✅ **Do** wait for `page.wait_for_load_state('networkidle')` before inspection\n\n## Best Practices\n\n- **Use bundled scripts as black boxes** - To accomplish a task, consider whether one of the scripts available in `scripts\u002F` can help. These scripts handle common, complex workflows reliably without cluttering the context window. Use `--help` to see usage, then invoke directly.\n- Use `sync_playwright()` for synchronous scripts\n- Always close the browser when done\n- Use descriptive selectors: `text=`, `role=`, CSS selectors, or IDs\n- Add appropriate waits: `page.wait_for_selector()` or `page.wait_for_timeout()`\n\n## Reference Files\n\n- **examples\u002F** - Examples showing common patterns:\n  - `element_discovery.py` - Discovering buttons, links, and inputs on a page\n  - `static_html_automation.py` - Using file:\u002F\u002F URLs for local HTML\n  - `console_logging.py` - Capturing console logs during automation\n",{"name":5,"license":50,"description":7},"Complete terms in LICENSE.txt","main","5c95bcac4646c5aed06bd9aed5235cfc7985aafc","included\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing",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":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add strmt7\u002Fai_skills_collection_benchmarked --skill webapp-testing",{"tool":64,"command":65},"bunx","bunx skills add strmt7\u002Fai_skills_collection_benchmarked --skill webapp-testing",{"tool":67,"command":68},"pnpm","pnpm dlx skills add strmt7\u002Fai_skills_collection_benchmarked --skill webapp-testing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002FSKILL.md",true,[72,78,82,86,91],{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"examples\u002Fconsole_logging.py","SCRIPT","脚本",1028,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002Fexamples\u002Fconsole_logging.py",{"path":79,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":80,"sourceHtmlUrl":81},"examples\u002Felement_discovery.py",1464,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002Fexamples\u002Felement_discovery.py",{"path":83,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":84,"sourceHtmlUrl":85},"examples\u002Fstatic_html_automation.py",954,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002Fexamples\u002Fstatic_html_automation.py",{"path":87,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":90,"sourceHtmlUrl":16},"LICENSE.txt","LICENSE","许可证",11358,{"path":92,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":93,"sourceHtmlUrl":94},"scripts\u002Fwith_server.py",3694,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Ftesting-qa-benchmarking\u002Fofficial-reference\u002Fwebapp-testing\u002Fscripts\u002Fwith_server.py",[96,126,152,178,206,230],{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":100,"sourceHtmlUrl":101,"categories":102,"keywords":106,"publishedAt":45},"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",[103],{"categoryNo":104,"categoryName":105,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000023","Skill与智能体开发",[107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,32,125],"skill creator","creator","performance","improve","run evals","new","when","analysis","create","optimize","variance analysis","run","edit","benchmark","a skill","existing skill","evals","modify","accuracy",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":130,"licenseFileUrl":6,"sourceHtmlUrl":131,"categories":132,"keywords":135,"publishedAt":45},"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.","MIT","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",[133,134],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":104,"categoryName":105,"taxonomyType":22,"taxonomyTypeDesc":23},[42,136,137,138,30,139,140,113,141,31,142,143,144,145,146,147,148,149,150,151],"playwright skill","browser automation","flows","auto","access","Bash","website","ux","login","scripts","read","write","node","install","network","responsive",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":156,"sourceHtmlUrl":157,"categories":158,"keywords":160,"publishedAt":45},"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",[159],{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},[161,162,163,41,164,165,166,32,167,168,44,169,170,171,172,173,174,175,176,177],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","use","file","components","react","multi","state","routing","state management",{"skillNo":179,"name":180,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":182,"sourceHtmlUrl":183,"categories":184,"keywords":194,"publishedAt":45},"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",[185,186,189],{"categoryNo":25,"categoryName":26,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":187,"categoryName":188,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":190,"categoryName":191,"taxonomyType":192,"taxonomyTypeDesc":193},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[44,195,196,166,197,198,199,36,200,201,170,113,163,202,172,203,173,204,205,33],"design","frontend design","ui design","generic","aesthetics","landing","pages","code","web ui","react components","examples",{"skillNo":207,"name":208,"nameZh":6,"description":209,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":130,"licenseFileUrl":6,"sourceHtmlUrl":210,"categories":211,"keywords":212,"publishedAt":45},"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",[],[213,214,215,216,217,218,219,220,221,32,222,223,224,225,226,227,228,229],"zarr python","python","zarr","arrays","Cloud Storage","scientific","storage","parallel","dask","numpy","gcs","s3","integration","scientific computing","cloud","scale","pipelines",{"skillNo":231,"name":232,"nameZh":6,"description":233,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":130,"licenseFileUrl":6,"sourceHtmlUrl":234,"categories":235,"keywords":236,"publishedAt":45},"01M71CVK137GT04ED205QTW43C","what-if-oracle","Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like \"what if...\", \"what would happen if...\", \"what are the possibilities\", \"explore scenarios\", \"scenario analysis\", \"possibility space\", \"what could go wrong\", \"best case \u002F worst case\", \"risk analysis\", \"contingency planning\", \"strategic options\", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.","https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fwhat-if-oracle\u002FSKILL.md",[],[237,238,239,240,241,242,243,244,245,246,247,113,114,248,249,143,118,146,147,250],"oracle","what if oracle","what if","branch","exploration","futures","explore","decision","strategic options","question","stress-test","strategies","options","scenario"]