[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6E53627N3B3MP89RATAQ45P":3,"skill-same:01M6E53627N3B3MP89RATAQ45P":87},{"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":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":62,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":65,"updatedAt":66,"install":67,"resources":80},"01M6E53627N3B3MP89RATAQ45P","surge-landing",null,"Use when asked to design growth-optimized landing pages, activation funnel\nlayouts, or experiment-friendly page structures. Examples: \"growth-optimized\nlanding\", \"activation funnel layout\", \"A\u002FB testable page\"","tonone-ai\u002Ftonone","tonone-ai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252718527?v=4","01M6E0753HQVTQWJCQCV4AHAAS","tonone.ai","01M6E075828PMH1WMX0VEB5SV8",77,"MIT","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fsurge\u002Fskills\u002Fsurge-landing\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"surge landing","surge","landing","activation funnel","when","for","activation","experiment","grep","hello","read","funnel","layout","product","examples","code","growth","Bash","use","design","pages","page","2026-11-10 10:12:30",false,"---\nname: surge-landing\ndescription: |\n  Use when asked to design growth-optimized landing pages, activation funnel\n  layouts, or experiment-friendly page structures. Examples: \"growth-optimized\n  landing\", \"activation funnel layout\", \"A\u002FB testable page\"\nallowed-tools: Read, Bash, Glob, Grep\nversion: 0.6.6\nauthor: tonone-ai \u003Chello@tonone.ai>\nlicense: MIT\ncompatibility: Designed for Claude Code\ntags: [product, growth, landing]\n---\n\n\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# surge-landing — Growth-Optimized Landing Page\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## When to use\n\nUser needs a landing page designed for growth: activation funnels, A\u002FB testing, acquisition, or PLG flows.\n\n## Workflow\n\n1. **Identify product type and growth goal** from user request (acquisition, activation, PLG, trial, freemium, etc.)\n2. **Search landing page patterns:**\n   ```bash\n   python3 -m surge_agent.uiux search --domain landing --query \"{product_type}\" --limit 3\n   ```\n3. **Search product reasoning:**\n   ```bash\n   python3 -m surge_agent.uiux search --domain product --query \"{product_type}\" --limit 3\n   ```\n4. **Search UX for friction points:**\n   ```bash\n   python3 -m surge_agent.uiux search --domain ux --query \"forms validation loading\" --limit 3\n   ```\n5. **Output** experiment-friendly structure with activation triggers and friction audit\n\n## Output format\n\n```\n┌─ Growth Landing Page — {product_type} ──────────────────────────────┐\n│ #  │ Section            │ Purpose                    │ Experiment?   │\n├────┼────────────────────┼────────────────────────────┼───────────────┤\n│  1 │ {section_name}     │ {purpose}                  │ A\u002FB headline  │\n│  2 │ {section_name}     │ {purpose}                  │ —             │\n│  3 │ {section_name}     │ {purpose}                  │ A\u002FB CTA copy  │\n│  … │ …                  │ …                          │ …             │\n└────┴────────────────────┴────────────────────────────┴───────────────┘\n\nActivation triggers:   {activation_triggers}\nFunnel structure:      {funnel_structure}\nFriction points:       {friction_points}\nExperiment surfaces:   {experiment_surfaces}\n```\n\n## Anti-patterns\n\n- Never optimize for vanity metrics (page views, time on page) over activation metrics\n- Never add friction (sign-up gates, long forms) before demonstrating product value\n- Never design sections that can't be independently A\u002FB tested\n- Never ship a growth page without identifying at least one experiment surface\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n","\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# surge-landing — Growth-Optimized Landing Page\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## When to use\n\nUser needs a landing page designed for growth: activation funnels, A\u002FB testing, acquisition, or PLG flows.\n\n## Workflow\n\n1. **Identify product type and growth goal** from user request (acquisition, activation, PLG, trial, freemium, etc.)\n2. **Search landing page patterns:**\n   ```bash\n   python3 -m surge_agent.uiux search --domain landing --query \"{product_type}\" --limit 3\n   ```\n3. **Search product reasoning:**\n   ```bash\n   python3 -m surge_agent.uiux search --domain product --query \"{product_type}\" --limit 3\n   ```\n4. **Search UX for friction points:**\n   ```bash\n   python3 -m surge_agent.uiux search --domain ux --query \"forms validation loading\" --limit 3\n   ```\n5. **Output** experiment-friendly structure with activation triggers and friction audit\n\n## Output format\n\n```\n┌─ Growth Landing Page — {product_type} ──────────────────────────────┐\n│ #  │ Section            │ Purpose                    │ Experiment?   │\n├────┼────────────────────┼────────────────────────────┼───────────────┤\n│  1 │ {section_name}     │ {purpose}                  │ A\u002FB headline  │\n│  2 │ {section_name}     │ {purpose}                  │ —             │\n│  3 │ {section_name}     │ {purpose}                  │ A\u002FB CTA copy  │\n│  … │ …                  │ …                          │ …             │\n└────┴────────────────────┴────────────────────────────┴───────────────┘\n\nActivation triggers:   {activation_triggers}\nFunnel structure:      {funnel_structure}\nFriction points:       {friction_points}\nExperiment surfaces:   {experiment_surfaces}\n```\n\n## Anti-patterns\n\n- Never optimize for vanity metrics (page views, time on page) over activation metrics\n- Never add friction (sign-up gates, long forms) before demonstrating product value\n- Never design sections that can't be independently A\u002FB tested\n- Never ship a growth page without identifying at least one experiment surface\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n",{"name":5,"tags":51,"author":52,"license":15,"version":53,"description":54,"allowed-tools":55,"compatibility":56},[37,40,26],"tonone-ai \u003Chello@tonone.ai>","0.6.6","Use when asked to design growth-optimized landing pages, activation funnel\nlayouts, or experiment-friendly page structures. Examples: \"growth-optimized\nlanding\", \"activation funnel layout\", \"A\u002FB testable page\"\n","Read, Bash, Glob, Grep","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","team\u002Fsurge\u002Fskills\u002Fsurge-landing",11,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone","https:\u002F\u002Fsecond.tonone.ai","https:\u002F\u002Fgithub.com\u002Ftonone-ai","https:\u002F\u002Ftonone.ai","Founded by @thisisfatih","2026-11-11 05:05:57",{"source":8,"skillName":5,"commands":68,"prompt":78,"zipAvailable":79},[69,72,75],{"tool":70,"command":71},"npx","npx skills add tonone-ai\u002Ftonone --skill surge-landing",{"tool":73,"command":74},"bunx","bunx skills add tonone-ai\u002Ftonone --skill surge-landing",{"tool":76,"command":77},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill surge-landing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fsurge\u002Fskills\u002Fsurge-landing\u002FSKILL.md",true,[81],{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"SKILL.md.tmpl","OTHER","其他",2844,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fsurge\u002Fskills\u002Fsurge-landing\u002FSKILL.md.tmpl",[88,96,103,108,113,120],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":95},"01M72QSK7R99K8FWYFNYTXJGR2","helm-autoplan","Chained brief-to-decision pipeline. Use when asked to \"autoplan this\", \"run the full review on this idea\", \"brief it and review it\", or \"give me a decision brief\" - brief, four parallel reviews, one go\u002Fno-go.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fhelm\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],"2026-11-10 22:39:42",{"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":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":95},"01M72Q6V4CB8E877RT5KJRSSB7","apex-second-opinion","Optional cross-model review of a diff or plan through an external CLI (codex, gemini, llm) already on PATH, with redaction and per-run consent. Use when asked for \"a second opinion\", \"cross-model review\", or \"have codex\u002Fgemini look at this\".","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fapex\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":104,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":95},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":109,"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":6,"sourceHtmlUrl":110,"categories":111,"keywords":112,"publishedAt":95},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":95},"01M72NEBG81JH7YNSDXYT8NHHE","helm-office-hours","Forcing-function intake before any brief. Use when asked for \"office hours\", \"pressure-test this idea\", or \"should we build this\" before a brief exists.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-office-hours\u002FSKILL.md",[],[],{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":95},"01M72NE7AS597YW6999C56CESR","helm-init","Short interview that writes PRODUCT.md, the durable product truth other skills read. Use when asked to \"init product\", \"write PRODUCT.md\", or \"set up product context\". Prefills from README and repo, asks max 6 questions.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-init\u002FSKILL.md",[],[]]