[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KSKHS3ZSGA53Y4VR3C772G":3,"skill-same:01M6KSKHS3ZSGA53Y4VR3C772G":93},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":15,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":13,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M6KSKHS3ZSGA53Y4VR3C772G","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.","endman100\u002Fskill-router-nexus","endman100","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F31997019?v=4","01M6KPDX17BYDWW4RRB0TNGGMX","01M6KPDX64Y2QBEWVFG5W5PWPF",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FCoding\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FCoding\u002Fwebapp-testing\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"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","# 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",{"name":5,"license":49,"description":7},"Complete terms in LICENSE.txt","main","f19b254e8975d0bfddb394686706106930d7964d","Coding\u002Fwebapp-testing","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus","https:\u002F\u002Fgithub.com\u002Fendman100","2026-11-12 18:13:37",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add endman100\u002Fskill-router-nexus --skill webapp-testing",{"tool":62,"command":63},"bunx","bunx skills add endman100\u002Fskill-router-nexus --skill webapp-testing",{"tool":65,"command":66},"pnpm","pnpm dlx skills add endman100\u002Fskill-router-nexus --skill webapp-testing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FCoding\u002Fwebapp-testing\u002FSKILL.md",true,[70,76,80,84,89],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"examples\u002Fconsole_logging.py","SCRIPT","脚本",1027,"https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FCoding\u002Fwebapp-testing\u002Fexamples\u002Fconsole_logging.py",{"path":77,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":78,"sourceHtmlUrl":79},"examples\u002Felement_discovery.py",1463,"https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FCoding\u002Fwebapp-testing\u002Fexamples\u002Felement_discovery.py",{"path":81,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":82,"sourceHtmlUrl":83},"examples\u002Fstatic_html_automation.py",953,"https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FCoding\u002Fwebapp-testing\u002Fexamples\u002Fstatic_html_automation.py",{"path":85,"resourceType":86,"resourceTypeDesc":87,"sizeBytes":88,"sourceHtmlUrl":15},"LICENSE.txt","LICENSE","许可证",11357,{"path":90,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":91,"sourceHtmlUrl":92},"scripts\u002Fwith_server.py",3693,"https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FCoding\u002Fwebapp-testing\u002Fscripts\u002Fwith_server.py",[94,119,154,177,186,210],{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":98,"licenseFileUrl":99,"sourceHtmlUrl":100,"categories":101,"keywords":107,"publishedAt":44},"01M6MPCT5BXVER8HQZTW3QE9AS","create-master","基于佛教经典文献，生成特定高僧大德的 AI 教学角色","MIT","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FMetaphysics-and-Spirituality\u002FMaster-skill\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FMetaphysics-and-Spirituality\u002FMaster-skill\u002FSKILL.md",[102],{"categoryNo":103,"categoryName":104,"taxonomyType":105,"taxonomyTypeDesc":106},"01JBSEEDCAT000000000000039","教师与教育","PROFESSION","适用职业",[108,109,110,111,112,113,114,115,116,117,118],"create master","master","create","生成","true","webfetch","edit","write","read","grep","Bash",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":98,"licenseFileUrl":123,"sourceHtmlUrl":124,"categories":125,"keywords":135,"publishedAt":44},"01M6M43AKE95Y64E1JRXEF5QQ3","writing-dna-skill","从至少 20 篇完整文章中蒸馏可复用的写作 DNA，分析语言、文章结构、选题逻辑、素材策略、认知框架和视觉风格，并生成 Writing-DNA.md；按该 DNA 写作时会读取全部蒸馏产物和 5 篇相关原文。用于中英文作者、账号、品牌或出版物的风格分析与一致性写作。 Distill reusable Writing DNA from at least 20 complete articles for Chinese or English authors, publications, brands, and accounts; use for language, structure, topic logic, source strategy, cognitive-frame, and visual-style analysis.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fwriting-dna-skill\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fwriting-dna-skill\u002FSKILL.md",[126,129,132],{"categoryNo":127,"categoryName":128,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":130,"categoryName":131,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":133,"categoryName":134,"taxonomyType":105,"taxonomyTypeDesc":106},"01JBSEEDCAT000000000000036","内容创作者",[136,137,138,139,140,141,142,143,144,145,146,147,148,111,149,150,151,31,152,153],"writing dna skill","DNA","writing","strategy","english","logic","visual","structure","chinese","reusable","use","style","distill","analysis","frame","source","at","complete",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":98,"licenseFileUrl":158,"sourceHtmlUrl":159,"categories":160,"keywords":163,"publishedAt":44},"01M6M428TTCGQ4ME3KY99VN037","stop-slop","Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FSKILL.md",[161,162],{"categoryNo":127,"categoryName":128,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":133,"categoryName":134,"taxonomyType":105,"taxonomyTypeDesc":106},[164,165,166,167,168,169,170,171,172,146,173,174,175,31,176,138],"slop","stop slop","stop","drafting","when","drafts","https","patterns","prose","remove","editing","text","content",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":98,"licenseFileUrl":181,"sourceHtmlUrl":182,"categories":183,"keywords":184,"publishedAt":44},"01M6M41X0B7EBX42TK435DMGGR","shuorenhua","检查和清理中英文文本里的 AI 套路，适用于“去 AI 味”“说人话”“自然一点”“别像模板”“先标问题”这类改写和审稿需求；按场景控制力度，同时保留事实、术语、语域和责任主体。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FSKILL.md",[],[179,185],"文本",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":98,"licenseFileUrl":190,"sourceHtmlUrl":191,"categories":192,"keywords":193,"publishedAt":44},"01M6M3ZD12WBEW5KXKDM4N6DFG","naming","Name products, SaaS, brands, open source projects, bots, and apps. Use when the user needs to name something, find a brand name, or pick a product name. Metaphor-driven process that produces memorable, meaningful names and avoids AI slop.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FSKILL.md",[],[188,194,195,196,197,198,146,199,116,151,200,201,202,203,118,204,205,206,207,168,208,209,164],"repo","websearch","product name","apps","bots","view","brand","pick","gh","projects","open","saas","open source","product","describe","ai slop",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":98,"licenseFileUrl":214,"sourceHtmlUrl":215,"categories":216,"keywords":218,"publishedAt":44},"01M6M3YVXAFAAWJ7F6JMPFREYE","humanizer-zh","去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。\n基于维基百科的\"AI 写作特征\"综合指南。检测并修复以下模式：夸大的象征意义、\n宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、\nAI 词汇、否定式排比、过多的连接性短语。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FSKILL.md",[217],{"categoryNo":127,"categoryName":128,"taxonomyType":21,"taxonomyTypeDesc":22},[219,220,221,116,115,114,138,111,185,222,164,166],"humanizer","zh","humanizer zh","翻译"]