{
  "schemaVersion": "1.0",
  "item": {
    "slug": "large-document-reader",
    "name": "large-document-reader",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/MRchenkuan/large-document-reader",
    "canonicalUrl": "https://clawhub.ai/MRchenkuan/large-document-reader",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/large-document-reader",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=large-document-reader",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "_meta.json",
      "SKILL.md",
      "scripts/extract_chapters.py",
      "scripts/save_chapters.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."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-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/large-document-reader"
    },
    "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/large-document-reader",
    "agentPageUrl": "https://openagent3.xyz/skills/large-document-reader/agent",
    "manifestUrl": "https://openagent3.xyz/skills/large-document-reader/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/large-document-reader/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": "Literature Structuring Expert",
        "body": "Automatically decompose long documents (papers, reports, books) into a structured, AI-friendly knowledge base. Splits by chapter, generates machine-readable summaries, and builds a navigable index to overcome context limits."
      },
      {
        "title": "When to Use This Skill",
        "body": "Use this skill when the user:\n\nHas a document that is too long for the AI's context window.\nNeeds to perform cross-chapter analysis or get a high-level overview of a long text.\nWants to build a reusable, queryable knowledge base from a PDF, Markdown, or text file.\nAsks: \"How can I get my AI to read this whole book/paper?\""
      },
      {
        "title": "Quick Reference",
        "body": "SituationActionUser provides a long document1. Analyze and split it into chapters.<br>2. Generate a JSON summary for each chapter.<br>3. Create a master index file.User asks a high-level, cross-chapter questionProvide the content of the MASTER_INDEX.md file to the AI.User asks a detailed, chapter-specific questionProvide the corresponding single file from the ./chapters/ directory to the AI.Task completedPresent the generated file tree and MASTER_INDEX.md preview to the user."
      },
      {
        "title": "Phase 1: Intelligent Splitting",
        "body": "Analyze Input: Receive the long document text or file path.\nIdentify Structure: Automatically analyze the document to identify heading hierarchies (e.g., #, ##, 1., 1.1) to determine chapter boundaries. Prioritize user-specified splitting preferences.\nExecute Split: Split the document into independent plain-text files by chapter.\n\nNaming Convention: {sequence_number}_{chapter_title}.md (e.g., 01_Introduction.md).\nStorage Location: All chapter files are saved in the ./chapters/ directory."
      },
      {
        "title": "Phase 2: Summary Generation & Structuring",
        "body": "Generate Summary per Chapter: For each file in ./chapters/, generate a corresponding JSON summary file.\n\nStructured Fields (JSON format):\n{\n  \"chapter_id\": \"Unique identifier matching the filename, e.g., 02_1\",\n  \"chapter_title\": \"Chapter Title\",\n  \"abstract\": \"Core summary of the chapter, 200-300 words.\",\n  \"keywords\": [\"Keyword1\", \"Keyword2\", \"Keyword3\"],\n  \"key_points\": [\"Key point one\", \"Key point two\"],\n  \"related_sections\": [\"IDs of other chapters strongly related to this one\"]\n}\n\n\nStorage Location: JSON summary files are saved in the ./summaries/ directory (e.g., 01_Introduction.summary.json)."
      },
      {
        "title": "Phase 3: Create Global Index",
        "body": "Aggregate Information: Collect data from all JSON files in ./summaries/.\nGenerate Index: Create a global index file, MASTER_INDEX.md.\n\nContent: Lists all chapters' IDs, titles, a short abstract preview, and keywords in a Markdown list or table.\nPurpose: Provides a \"bird's-eye view\" for quick navigation and high-level Q&A."
      },
      {
        "title": "Final Deliverables & File Structure",
        "body": "Upon completion, the following file tree is generated:\n\nProject_Root/\n├── chapters/           # 【Source Repository】Contains all split chapter texts (.md files)\n│   ├── 01_Introduction.md\n│   ├── 02_1_Experimental_Methods.md\n│   └── ...\n├── summaries/          # 【Summary Repository】Contains all structured JSON summaries\n│   ├── 01_Introduction.summary.json\n│   ├── 02_1_Experimental_Methods.summary.json\n│   └── ...\n└── MASTER_INDEX.md     # 【Global Navigation】Core document summary index"
      },
      {
        "title": "Usage Instructions for the User",
        "body": "For Global, Cross-Chapter Queries (e.g., “What is the paper's main thesis?”):\n\nProvide the content of the MASTER_INDEX.md file to the AI. This is token-efficient.\n\nFor Specific, In-Depth Queries Within a Chapter (e.g., “What were the parameters in the 'Methods' section?”):\n\nProvide the corresponding single chapter file from the chapters/ directory to the AI for full context."
      }
    ],
    "body": "Literature Structuring Expert\n\nAutomatically decompose long documents (papers, reports, books) into a structured, AI-friendly knowledge base. Splits by chapter, generates machine-readable summaries, and builds a navigable index to overcome context limits.\n\nWhen to Use This Skill\n\nUse this skill when the user:\n\nHas a document that is too long for the AI's context window.\nNeeds to perform cross-chapter analysis or get a high-level overview of a long text.\nWants to build a reusable, queryable knowledge base from a PDF, Markdown, or text file.\nAsks: \"How can I get my AI to read this whole book/paper?\"\nQuick Reference\nSituation\tAction\nUser provides a long document\t1. Analyze and split it into chapters.<br>2. Generate a JSON summary for each chapter.<br>3. Create a master index file.\nUser asks a high-level, cross-chapter question\tProvide the content of the MASTER_INDEX.md file to the AI.\nUser asks a detailed, chapter-specific question\tProvide the corresponding single file from the ./chapters/ directory to the AI.\nTask completed\tPresent the generated file tree and MASTER_INDEX.md preview to the user.\nCore Workflow\nPhase 1: Intelligent Splitting\nAnalyze Input: Receive the long document text or file path.\nIdentify Structure: Automatically analyze the document to identify heading hierarchies (e.g., #, ##, 1., 1.1) to determine chapter boundaries. Prioritize user-specified splitting preferences.\nExecute Split: Split the document into independent plain-text files by chapter.\nNaming Convention: {sequence_number}_{chapter_title}.md (e.g., 01_Introduction.md).\nStorage Location: All chapter files are saved in the ./chapters/ directory.\nPhase 2: Summary Generation & Structuring\nGenerate Summary per Chapter: For each file in ./chapters/, generate a corresponding JSON summary file.\nStructured Fields (JSON format):\n{\n  \"chapter_id\": \"Unique identifier matching the filename, e.g., 02_1\",\n  \"chapter_title\": \"Chapter Title\",\n  \"abstract\": \"Core summary of the chapter, 200-300 words.\",\n  \"keywords\": [\"Keyword1\", \"Keyword2\", \"Keyword3\"],\n  \"key_points\": [\"Key point one\", \"Key point two\"],\n  \"related_sections\": [\"IDs of other chapters strongly related to this one\"]\n}\n\nStorage Location: JSON summary files are saved in the ./summaries/ directory (e.g., 01_Introduction.summary.json).\nPhase 3: Create Global Index\nAggregate Information: Collect data from all JSON files in ./summaries/.\nGenerate Index: Create a global index file, MASTER_INDEX.md.\nContent: Lists all chapters' IDs, titles, a short abstract preview, and keywords in a Markdown list or table.\nPurpose: Provides a \"bird's-eye view\" for quick navigation and high-level Q&A.\nFinal Deliverables & File Structure\n\nUpon completion, the following file tree is generated:\n\nProject_Root/\n├── chapters/           # 【Source Repository】Contains all split chapter texts (.md files)\n│   ├── 01_Introduction.md\n│   ├── 02_1_Experimental_Methods.md\n│   └── ...\n├── summaries/          # 【Summary Repository】Contains all structured JSON summaries\n│   ├── 01_Introduction.summary.json\n│   ├── 02_1_Experimental_Methods.summary.json\n│   └── ...\n└── MASTER_INDEX.md     # 【Global Navigation】Core document summary index\n\nUsage Instructions for the User\n\nFor Global, Cross-Chapter Queries (e.g., “What is the paper's main thesis?”):\n\nProvide the content of the MASTER_INDEX.md file to the AI. This is token-efficient.\n\nFor Specific, In-Depth Queries Within a Chapter (e.g., “What were the parameters in the 'Methods' section?”):\n\nProvide the corresponding single chapter file from the chapters/ directory to the AI for full context."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/MRchenkuan/large-document-reader",
    "publisherUrl": "https://clawhub.ai/MRchenkuan/large-document-reader",
    "owner": "MRchenkuan",
    "version": "1.0.2",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/large-document-reader",
    "downloadUrl": "https://openagent3.xyz/downloads/large-document-reader",
    "agentUrl": "https://openagent3.xyz/skills/large-document-reader/agent",
    "manifestUrl": "https://openagent3.xyz/skills/large-document-reader/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/large-document-reader/agent.md"
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}