[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71QJAR3TYDSTGYQT4Y0GVF2":3,"skill-same:01M71QJAR3TYDSTGYQT4Y0GVF2":94},{"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":14,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M71QJAR3TYDSTGYQT4Y0GVF2","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.","TorchiaHub\u002FSkills","TorchiaHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F125223386?v=4","01M71Q3SNKHMKJYN4HGMSQ2CEY","Mattia Torchia","01M71Q3SP6T1Z9NBADBCFP7GM5",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\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],"testing","webapp testing","webapp","screenshots","ui","behavior","web","playwright","with","browser","logs","toolkit","debugging","frontend","local","applications","for","2026-11-10 13:02:02",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":50,"description":7},"Complete terms in LICENSE.txt","master","e3489bc4e504668e9a2ff8fb73dc086da71328ab","01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fwebapp-testing","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills","https:\u002F\u002Fgithub.com\u002FTorchiaHub","2026-06-21 20:40:46",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add TorchiaHub\u002FSkills --skill webapp-testing",{"tool":63,"command":64},"bunx","bunx skills add TorchiaHub\u002FSkills --skill webapp-testing",{"tool":66,"command":67},"pnpm","pnpm dlx skills add TorchiaHub\u002FSkills --skill webapp-testing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fwebapp-testing\u002FSKILL.md",true,[71,77,81,85,90],{"path":72,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":75,"sourceHtmlUrl":76},"examples\u002Fconsole_logging.py","SCRIPT","脚本",1027,"https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fwebapp-testing\u002Fexamples\u002Fconsole_logging.py",{"path":78,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":79,"sourceHtmlUrl":80},"examples\u002Felement_discovery.py",1463,"https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fwebapp-testing\u002Fexamples\u002Felement_discovery.py",{"path":82,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":83,"sourceHtmlUrl":84},"examples\u002Fstatic_html_automation.py",953,"https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fwebapp-testing\u002Fexamples\u002Fstatic_html_automation.py",{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":16},"LICENSE.txt","LICENSE","许可证",11345,{"path":91,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":92,"sourceHtmlUrl":93},"scripts\u002Fwith_server.py",3693,"https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fanthropics-skills\u002F20260514T124609Z\u002Fsource\u002Fskills\u002Fwebapp-testing\u002Fscripts\u002Fwith_server.py",[95,128,158,186,214,238],{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":99,"sourceHtmlUrl":100,"categories":101,"keywords":108,"publishedAt":45},"01M71VC09WZH7EYAA8YDKJQ0E1","resemble-detect","Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fresemble-detect\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fresemble-detect\u002FSKILL.md",[102,105],{"categoryNo":103,"categoryName":104,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":106,"categoryName":107,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000016","图像与多媒体",[109,110,111,112,113,114,115,116,117,118,42,119,120,121,122,123,124,125,126,127],"resemble detect","detect","images","Video","SET","app","sources","Media","Audio","detect ai","generated","ai api","api","analyze","text","paths","Safety","intelligence","deepfake detection",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":132,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":141,"publishedAt":45},"01M71VBN3ZPGZT29DK7N7VCT4P","refactor","Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.","MIT","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Frefactor\u002FSKILL.md",[135,138],{"categoryNo":136,"categoryName":137,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":139,"categoryName":140,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000015","视觉设计",[130,142,143,144,145,146,147,148,149,125,150,151,152,153,44,154,155,156,157,33],"design patterns","extracting","improve","design","Variables","code","refactoring","Type Safety","patterns","surgical","code refactoring","down","repo","use","type","functions",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":132,"licenseFileUrl":162,"sourceHtmlUrl":163,"categories":164,"keywords":167,"publishedAt":45},"01M71VA75R4MGJXGR0JS727PBV","quality-playbook","Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol with regression test generation, an integration testing protocol, a multi-model spec audit (Council of Three), and an AI bootstrap file (AGENTS.md). Includes state machine completeness analysis and missing safeguard detection. Works with any language (Python, Java, Scala, TypeScript, Go, Rust, etc.). Use this skill whenever the user asks to set up a quality playbook, generate functional tests from specifications, create a quality constitution, build testing protocols, audit code against specs, or establish a repeatable quality system for a project. Also trigger when the user mentions 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', 'coverage theater', or wants to go beyond basic test generation to build a full quality system grounded in their actual codebase.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fquality-playbook\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fquality-playbook\u002FSKILL.md",[165,166],{"categoryNo":136,"categoryName":137,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},[168,169,170,171,172,173,174,28,175,176,177,178,179,180,181,182,183,184,44,185],"playbook","quality playbook","quality","project","code review","integration testing","explore","create","functional","generate","spec audit","typescript","go","state machine","full","multi-model","three","system",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":132,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":197,"publishedAt":45},"01M71V7TYJZ1C5XD0RRH2P340K","prd","Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fprd\u002FSKILL.md",[192],{"categoryNo":193,"categoryName":194,"taxonomyType":195,"taxonomyTypeDesc":196},"01JBSEEDCAT000000000000031","产品经理","PROFESSION","适用职业",[188,198,44,199,200,201,202,203,204,205,206,177,207,208,170,209,210,211,212,213],"risk","technical","documents","requirements","analysis","stories","summaries","high","product","specifications","risk analysis","features","systems","software","user stories","Product Requirements",{"skillNo":215,"name":216,"nameZh":6,"description":217,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":132,"licenseFileUrl":6,"sourceHtmlUrl":218,"categories":219,"keywords":220,"publishedAt":45},"01M71V7JFHSJ61847CEY1EM48A","power-platform-architect","Use this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fpower-platform-architect\u002FSKILL.md",[],[221,222,223,224,225,226,227,199,155,228,229,201,230,231,232,233,234,235,236,237],"power","platform","power platform","architect","power platform architect","diagrams","selection","business","when","architecture","needs","case","solution architecture","component","solution","mermaid","meeting",{"skillNo":239,"name":240,"nameZh":6,"description":241,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":132,"licenseFileUrl":6,"sourceHtmlUrl":242,"categories":243,"keywords":244,"publishedAt":45},"01M71V65KR84TMS1WARE3R11VZ","plantuml-ascii","Generate ASCII art diagrams using PlantUML text mode. Use when user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, ascii art diagram. Supports: Converting PlantUML diagrams to ASCII art, Creating sequence diagrams, class diagrams, flowcharts in ASCII format, Generating Unicode-enhanced ASCII art with -utxt flag","https:\u002F\u002Fgithub.com\u002FTorchiaHub\u002FSkills\u002Fblob\u002Fmaster\u002F01-Inbox\u002Fdownloads\u002Fgithub-awesome-copilot\u002F20260429T140243Z\u002Fsource\u002Fskills\u002Fplantuml-ascii\u002FSKILL.md",[],[245,246,247,226,248,249,250,229,251,123,175,252,177,253,254,255,256,257,258,155],"plantuml","ascii","plantuml ascii","Unicode","mode","Art","Bash","diagram","terminal","read","write","sequence","plantuml diagrams","ascii art"]