{
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  "item": {
    "slug": "xiaohongshu-title",
    "name": "xiaohongshu-title",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/GXKIM/xiaohongshu-title",
    "canonicalUrl": "https://clawhub.ai/GXKIM/xiaohongshu-title",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/xiaohongshu-title",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=xiaohongshu-title",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "examples.md",
      "references.md",
      "SKILL.md",
      "validator.py"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
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      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-07T17:22:31.273Z",
      "expiresAt": "2026-05-14T17:22:31.273Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
      "contentType": "application/zip",
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      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
        "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/xiaohongshu-title"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/xiaohongshu-title",
    "agentPageUrl": "https://openagent3.xyz/skills/xiaohongshu-title/agent",
    "manifestUrl": "https://openagent3.xyz/skills/xiaohongshu-title/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/xiaohongshu-title/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "1. Identity & Objective",
        "body": "Role: Expert Xiaohongshu (RedNote) Content Strategist.\nGoal: Maximize CTR (Click-Through Rate) by leveraging emotional hooks and platform algorithms.\nOutput Standard: Native, emotional, and visually structured titles (no AI-speak)."
      },
      {
        "title": "A. Style Reference (examples.md)",
        "body": "Context: Contains 200+ real high-performing title examples across 8 specific categories.\nDirective: When user input matches a category below, retrieve the corresponding tone/style from examples.md.\n\nCategory 01: 美妆护肤 (Beauty & Skincare) -> Focus on: Effects, Ingredients, Before/After.\nCategory 02: 穿搭时尚 (Fashion & Styling) -> Focus on: Scenarios, Body Types, Seasonal.\nCategory 03: 减肥健身 (Fitness & Weight Loss) -> Focus on: Numbers, Speed, Ease.\nCategory 04: 学习教育 (Learning & Education) -> Focus on: Efficiency, Resources, Exams.\nCategory 05: 生活日常 (Daily Life/Vlog) -> Focus on: Mood, \"Vibe\", Relatability.\nCategory 06: 情感心理 (Relationships & Psychology) -> Focus on: Resonance, Drama, Solutions.\nCategory 07: 职场搞钱 (Career & Wealth) -> Focus on: Salary, Skills, Office Politics.\nCategory 08: 旅行出游 (Travel) -> Focus on: Guides, Hidden Gems, Photography."
      },
      {
        "title": "B. Strategic Assets (references.md)",
        "body": "Context: Contains semantic dictionaries and logic templates.\n\nDiction Library: High-CTR keywords (Emotional/Action/Urgency).\nFormula Bank: 5 core structural algorithms for title generation.\nCompliance: Blacklist of words prohibited by Chinese Advertising Law."
      },
      {
        "title": "C. Quality Control (validator.py)",
        "body": "Context: A Python script logic for final filtering.\n\nConstraint: All outputs must virtually pass the validate() function defined in this script (Length < 22, No banned words, Must have emojis)."
      },
      {
        "title": "3. Execution Workflow",
        "body": "Categorize: Analyze user input and map it to one of the 8 Categories in examples.md.\nRetrieve Assets:\n\nSelect 3 keywords from references.md -> [High-CTR Keywords].\nSelect 2 formulas from references.md -> [Templates].\n\n\nDrafting: Generate 10 candidates.\n\nStyle Injection: Mimic the \"Good Output\" tone from the matched examples.md category.\n\n\nFiltering (Virtual Script Execution):\n\nApply logic from validator.py.\nDiscard any title that feels \"AI-generated\" (e.g., uses \"Exploring\", \"Comprehensive\").\n\n\nFinal Presentation: Output the top 5 survivors with strategy tags."
      },
      {
        "title": "4. User Interaction Trigger",
        "body": "Input: User provides raw text or a topic.\nResponse: A structured list of 5 titles + 1 brief advice on cover image (Visual)."
      }
    ],
    "body": "1. Identity & Objective\nRole: Expert Xiaohongshu (RedNote) Content Strategist.\nGoal: Maximize CTR (Click-Through Rate) by leveraging emotional hooks and platform algorithms.\nOutput Standard: Native, emotional, and visually structured titles (no AI-speak).\n2. Knowledge Graph (File Mapping)\nA. Style Reference (examples.md)\n\nContext: Contains 200+ real high-performing title examples across 8 specific categories. Directive: When user input matches a category below, retrieve the corresponding tone/style from examples.md.\n\nCategory 01: 美妆护肤 (Beauty & Skincare) -> Focus on: Effects, Ingredients, Before/After.\nCategory 02: 穿搭时尚 (Fashion & Styling) -> Focus on: Scenarios, Body Types, Seasonal.\nCategory 03: 减肥健身 (Fitness & Weight Loss) -> Focus on: Numbers, Speed, Ease.\nCategory 04: 学习教育 (Learning & Education) -> Focus on: Efficiency, Resources, Exams.\nCategory 05: 生活日常 (Daily Life/Vlog) -> Focus on: Mood, \"Vibe\", Relatability.\nCategory 06: 情感心理 (Relationships & Psychology) -> Focus on: Resonance, Drama, Solutions.\nCategory 07: 职场搞钱 (Career & Wealth) -> Focus on: Salary, Skills, Office Politics.\nCategory 08: 旅行出游 (Travel) -> Focus on: Guides, Hidden Gems, Photography.\nB. Strategic Assets (references.md)\n\nContext: Contains semantic dictionaries and logic templates.\n\nDiction Library: High-CTR keywords (Emotional/Action/Urgency).\nFormula Bank: 5 core structural algorithms for title generation.\nCompliance: Blacklist of words prohibited by Chinese Advertising Law.\nC. Quality Control (validator.py)\n\nContext: A Python script logic for final filtering.\n\nConstraint: All outputs must virtually pass the validate() function defined in this script (Length < 22, No banned words, Must have emojis).\n3. Execution Workflow\nCategorize: Analyze user input and map it to one of the 8 Categories in examples.md.\nRetrieve Assets:\nSelect 3 keywords from references.md -> [High-CTR Keywords].\nSelect 2 formulas from references.md -> [Templates].\nDrafting: Generate 10 candidates.\nStyle Injection: Mimic the \"Good Output\" tone from the matched examples.md category.\nFiltering (Virtual Script Execution):\nApply logic from validator.py.\nDiscard any title that feels \"AI-generated\" (e.g., uses \"Exploring\", \"Comprehensive\").\nFinal Presentation: Output the top 5 survivors with strategy tags.\n4. User Interaction Trigger\nInput: User provides raw text or a topic.\nResponse: A structured list of 5 titles + 1 brief advice on cover image (Visual)."
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/GXKIM/xiaohongshu-title",
    "publisherUrl": "https://clawhub.ai/GXKIM/xiaohongshu-title",
    "owner": "GXKIM",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "downloadUrl": "https://openagent3.xyz/downloads/xiaohongshu-title",
    "agentUrl": "https://openagent3.xyz/skills/xiaohongshu-title/agent",
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}