[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JBPF6AZ3DHS3SMBMPXYRPB":3,"skill-same:01M6JBPF6AZ3DHS3SMBMPXYRPB":70},{"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":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":53,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M6JBPF6AZ3DHS3SMBMPXYRPB","agent-browser",null,"Browser automation CLI built for AI agents - compact ref-based text output (200-400 tokens vs 3000-5000 for full DOM), native Rust, 50+ commands. Default browser-automation tool for the fleet. Use for any web navigation, scraping, form-filling, screenshots, or testing from the shell.","S3YED\u002Fappie-kit","S3YED","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F62743867?v=4","01M6JBKBRRVP6KMS0VWZ27T3R6","01M6JBKBX0KG30284PW1DBYJT1",14,"MIT","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fautomation\u002Fagent-browser\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"agent browser","browser","default","for","fleet","form-filling","native","form","tokens","full","commands","compact","testing","scraping","text","rust","ai agents","browser automation","cli","screenshots","2026-11-10 10:12:30",false,"---\nname: agent-browser\ndescription: Browser automation CLI built for AI agents - compact ref-based text output (200-400 tokens vs 3000-5000 for full DOM), native Rust, 50+ commands. Default browser-automation tool for the fleet. Use for any web navigation, scraping, form-filling, screenshots, or testing from the shell.\n---\n\n# agent-browser - fleet default for browser automation\n\nA native-Rust browser-automation CLI designed for AI agents. Compact text output minimises context usage. Use it instead of heavier browser stacks for shell-driven web tasks.\n\n## Install\n```bash\nnpm install -g agent-browser      # all platforms\n# or: brew install agent-browser  # macOS\nagent-browser install             # download Chrome (first run only)\n# try without installing:\nnpx agent-browser open example.com\n```\n\n## Core loop (ref-based)\n```bash\nagent-browser open example.com\nagent-browser snapshot -i          # accessibility tree with refs: heading \"...\" [ref=e1], link \"...\" [ref=e2]\nagent-browser click @e2            # act on a ref from the snapshot\nagent-browser screenshot page.png\nagent-browser close\n```\n\n## Why refs (the context win)\n`snapshot` returns a compact accessibility tree where each element has a ref (`@e1`, `@e2`):\n- Context-efficient: ~200-400 tokens vs ~3000-5000 for full DOM.\n- Deterministic: a ref points to the exact element from the snapshot (no fragile selectors).\n- Fast: no DOM re-query. AI-friendly: text output parses naturally.\n\n## What it covers (50+ commands)\nNavigation, forms, screenshots, network control, storage\u002Fcookies\u002Fauth-state, file upload\u002Fdownload, tabs, frames, debugging. Built-in: video recording, streaming, profiler, diffing. First-class docs for React\u002FWeb Vitals, init scripts, and Next.js + Vercel. Stateful: sessions, profiles, proxy, security controls - good for long-running agents.\n\n## Architecture\nClient-daemon: a Rust CLI talks to a native Rust daemon that drives Chrome over CDP. The daemon starts automatically and persists between commands.\n\n## When to use vs other tools\n- **Default** for shell-driven browser work (cheapest context, deterministic).\n- Use Playwright\u002FStagehand only when you need their specific ecosystem features.\n- Cross-platform: macOS (arm64\u002Fx64), Linux (arm64\u002Fx64), Windows (x64).\n\nWorks with: Claude Code, Cursor, Copilot, Codex, Gemini, opencode, and any agent that runs shell commands.\n","# agent-browser - fleet default for browser automation\n\nA native-Rust browser-automation CLI designed for AI agents. Compact text output minimises context usage. Use it instead of heavier browser stacks for shell-driven web tasks.\n\n## Install\n```bash\nnpm install -g agent-browser      # all platforms\n# or: brew install agent-browser  # macOS\nagent-browser install             # download Chrome (first run only)\n# try without installing:\nnpx agent-browser open example.com\n```\n\n## Core loop (ref-based)\n```bash\nagent-browser open example.com\nagent-browser snapshot -i          # accessibility tree with refs: heading \"...\" [ref=e1], link \"...\" [ref=e2]\nagent-browser click @e2            # act on a ref from the snapshot\nagent-browser screenshot page.png\nagent-browser close\n```\n\n## Why refs (the context win)\n`snapshot` returns a compact accessibility tree where each element has a ref (`@e1`, `@e2`):\n- Context-efficient: ~200-400 tokens vs ~3000-5000 for full DOM.\n- Deterministic: a ref points to the exact element from the snapshot (no fragile selectors).\n- Fast: no DOM re-query. AI-friendly: text output parses naturally.\n\n## What it covers (50+ commands)\nNavigation, forms, screenshots, network control, storage\u002Fcookies\u002Fauth-state, file upload\u002Fdownload, tabs, frames, debugging. Built-in: video recording, streaming, profiler, diffing. First-class docs for React\u002FWeb Vitals, init scripts, and Next.js + Vercel. Stateful: sessions, profiles, proxy, security controls - good for long-running agents.\n\n## Architecture\nClient-daemon: a Rust CLI talks to a native Rust daemon that drives Chrome over CDP. The daemon starts automatically and persists between commands.\n\n## When to use vs other tools\n- **Default** for shell-driven browser work (cheapest context, deterministic).\n- Use Playwright\u002FStagehand only when you need their specific ecosystem features.\n- Cross-platform: macOS (arm64\u002Fx64), Linux (arm64\u002Fx64), Windows (x64).\n\nWorks with: Claude Code, Cursor, Copilot, Codex, Gemini, opencode, and any agent that runs shell commands.\n",{"name":5,"description":7},"master","8ec37df6d71fb664ea19d32c079e7d3ff931a8e0","skills\u002Fautomation\u002Fagent-browser",3,"https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit","https:\u002F\u002Fweblyfe.ai","https:\u002F\u002Fgithub.com\u002FS3YED","2026-08-27 01:54:02",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add S3YED\u002Fappie-kit --skill agent-browser",{"tool":62,"command":63},"bunx","bunx skills add S3YED\u002Fappie-kit --skill agent-browser",{"tool":65,"command":66},"pnpm","pnpm dlx skills add S3YED\u002Fappie-kit --skill agent-browser","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fautomation\u002Fagent-browser\u002FSKILL.md",true,[],[71,103,138,164,194,218],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":84,"publishedAt":43},"01M6JFD4M6N4DSGC7TXEJ5R3J2","ai-music","AI music generation and audio tools: HeartMuLa lyrics-to-music generation, songwriting craft (+ Suno prompts), and audio spectrogram\u002Ffeature visualization.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fwethlete\u002Fai-music\u002FSKILL.md",[77,80,83],{"categoryNo":78,"categoryName":79,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":81,"categoryName":82,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102],"music","ai music","humanizer","visualization","Tools","Audio","hermes","hermes agent","songwriting","suno","lyrics","prompts","heartmula","craft","generation","feature","ai music generation","music generation",{"skillNo":104,"name":105,"nameZh":6,"description":106,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":117,"publishedAt":43},"01M6JFCZE4XNFQFMNZDHKHT5V5","agentic-webdesign-design-system-ingestion","Use v0 Design Systems 2.0, Bolt Design System Agents, or Lovable to generate production UI from a client's real design system components — not generic Tailwind. Use when building a client website where brand consistency matters.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fweb-design\u002Fagentic-webdesign-design-system-ingestion\u002FSKILL.md",[109,112],{"categoryNo":110,"categoryName":111,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":113,"categoryName":114,"taxonomyType":115,"taxonomyTypeDesc":116},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137],"design","agentic","design system","system","ingestion","webdesign","agentic webdesign design system ingestion","components","generate","design systems","website","ui","Tailwind","bolt","lovable","v0","design-system","wed","design system components","appie",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":146,"publishedAt":43},"01M6JFCVPX3913CFAS6QQJ33ZB","agentic-webdesign-agent-elements","Use 21st.dev Agent Elements — 25 shadcn\u002Fui components purpose-built for AI agent UIs. Tool cards (Bash, Edit, Search, Plan, Subagent, MCP), chat, input, streaming. Open source, shadcn-registry install, no runtime lock-in.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fweb-design\u002Fagentic-webdesign-agent-elements\u002FSKILL.md",[144,145],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":113,"categoryName":114,"taxonomyType":115,"taxonomyTypeDesc":116},[119,147,123,148,149,150,125,151,152,153,154,155,156,157,158,159,160,161,162,163],"elements","agentic webdesign agent elements","MCP","ai agent","registry","search","streaming","open source","open","Bash","plan","subagent","edit","install","input","lock","source",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":174,"publishedAt":43},"01M6JFCQC7H65M9QJ6TRE71BS1","vercel-deployment","Deploy static sites and frontends to Vercel — handles both CLI and REST API paths, including the CLI token sanitization workaround.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Fvercel-deployment\u002FSKILL.md",[170,173],{"categoryNo":171,"categoryName":172,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[175,176,177,178,41,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193],"deployment","vercel deployment","vercel","macos","linux","windows","deploy","vercel deploy","REST","api","site","deploy to vercel","token","rest api","host","sites","paths","sanitization","static site",{"skillNo":195,"name":196,"nameZh":6,"description":197,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":198,"categories":199,"keywords":201,"publishedAt":43},"01M6JFCM4SMTXBM5A01BK2YQG1","software-quality-workflows","Umbrella workflow for TDD, debugging, code simplification, spikes, pre-commit review, and debugger-assisted investigation.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Fsoftware-quality-workflows\u002FSKILL.md",[200],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,26],"workflows","quality","software","software quality workflows","review","tdd","workflow","commit","debugging","code","debugger","pre-commit","investigation","code simplification","user","simplification",{"skillNo":219,"name":220,"nameZh":6,"description":221,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":222,"categories":223,"keywords":231,"publishedAt":43},"01M6JFCGD0M6CEATY01W7YN6DB","react-component-refactoring","Safely refactor large React components into smaller, maintainable pieces using proven patterns","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Freact-component-refactoring\u002FSKILL.md",[224,227,230],{"categoryNo":225,"categoryName":226,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":228,"categoryName":229,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[232,233,234,235,236,237,238,239,178,240,241,125,242,180,243,211,244,245,246,247],"react","component","refactoring","component refactoring","react component","react component refactoring","frontend","writing","safe","typescript","react components","modular","refactor","simplify","patterns","test-driven-development"]