{
  "schemaVersion": "1.0",
  "item": {
    "slug": "openclaw-skill-intelligence-ingestion",
    "name": "Openclaw Skill Intelligence Ingestion",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/2233admin/openclaw-skill-intelligence-ingestion",
    "canonicalUrl": "https://clawhub.ai/2233admin/openclaw-skill-intelligence-ingestion",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/openclaw-skill-intelligence-ingestion",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=openclaw-skill-intelligence-ingestion",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "_meta.json",
      "index.html",
      "vercel.json"
    ],
    "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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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/openclaw-skill-intelligence-ingestion"
    },
    "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/openclaw-skill-intelligence-ingestion",
    "agentPageUrl": "https://openagent3.xyz/skills/openclaw-skill-intelligence-ingestion/agent",
    "manifestUrl": "https://openagent3.xyz/skills/openclaw-skill-intelligence-ingestion/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/openclaw-skill-intelligence-ingestion/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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Intelligence Ingestion Skill",
        "body": "When the user shares a URL, article, tweet, thread, or any piece of external information, execute this pipeline automatically. Do NOT ask for permission — just process it."
      },
      {
        "title": "Trigger Conditions",
        "body": "USE this skill when:\n\nUser sends a URL (x.com, github.com, any domain)\nUser pastes article text or tweet content\nUser says \"analyze this\", \"evaluate this\", \"what do you think about this\"\nUser forwards content from Telegram or any messaging surface\nUser shares something and asks about strategic value\n\nDO NOT USE when:\n\nUser is asking a general question unrelated to external content\nUser is asking about internal workspace files\nUser explicitly says they don't want analysis"
      },
      {
        "title": "Step 1: READ — Extract Content",
        "body": "If a URL is provided, read the full content (use read_url_content or browser)\nIf text is pasted, use it directly\nIf X/Twitter link fails to parse (common), search web for the tweet content"
      },
      {
        "title": "Step 2: CLASSIFY — What Is This?",
        "body": "Assign one primary category and up to 2 secondary tags:\n\nCategoryDescriptionExamplesinfraInfrastructure / protocols / networkingPilot Protocol, MCP, networking stacksstrategyRouting / cost / architecture decisionsModel routing, multi-account, fallback chainsskillAgent skills / tools / capabilitiesOpenAI Skills, Skill design patternstheoryConceptual frameworks / mental modelsBayes, decision theory, learning loopstutorialHow-to guides / learning materialClaude Code, OpenClaw tutorialsproductTools / apps / servicesLM Studio, new AI models, appscommunityOpenClaw ecosystem / discussionsCommunity posts, feature requeststhreatRisks / security / deprecationAPI changes, breaking updates, security alerts"
      },
      {
        "title": "Step 3: ANALYZE — Strategic Value Assessment",
        "body": "For each piece of information, evaluate:\n\n## Strategic Assessment\n- **What is it?** [One sentence]\n- **What can it do for us?** [Specific capability/benefit]\n- **What can we build with it?** [Concrete output/project]\n- **Strategic value:** [🔴 Critical / 🟡 High / 🟢 Medium / ⚪ Low]\n- **Competitive edge:** [What advantage over people who don't have this?]\n- **Relation to active bottleneck:** [Does it relate to context overflow/token saving?]\n\nReference the current engineering bottleneck from MEMORY.md → \"Active Engineering Bottleneck\" section."
      },
      {
        "title": "Step 4: MAP — Relate to Existing Architecture",
        "body": "Check against the OpenClaw stack:\n\nSOUL.md → PRINCIPLES.md → AGENTS.md (Identity Stack)\nMEMORY.md (System State + Bottleneck)\nTOOLS.md (Coprocessors: Codex, Antigravity, LM Studio)\nPilot Protocol (Context Separation Layer - P0)\n\nDetermine which layer this information impacts and note dependencies/synergies with existing components."
      },
      {
        "title": "Step 5: STORE — Write Obsidian Note",
        "body": "Create a note at:\n\n/Volumes/T7 Shield/Obsidian_Vault/20_Intelligence/YYYYMMDD_AuthorOrSource_ShortTitle.md\n\nFollow this template exactly:\n\n# [Title]\n\n**Source:** [Link](URL)\n**Date:** YYYY-MM-DD\n**Category:** [Primary Category] / [Secondary Tags]\n**Strategic Value:** [🔴/🟡/🟢/⚪] + one-line reason\n**Relation to Active Bottleneck:** [Yes/No + how]\n\n---\n\n## Summary\n[2-3 paragraphs of core content]\n\n## Key Takeaways\n[Numbered list of actionable insights]\n\n## Impact on OpenClaw Architecture\n[How this relates to our stack]\n\n## Action Items\n[What to do next, if anything]\n\n---\n\n**Keke's Note:** [Opinionated analysis in Keke's voice — direct, no-BS, relate to 阳哥's goals]"
      },
      {
        "title": "Step 6: REMEMBER — Update Memory",
        "body": "Always append to today's daily log: ~/.openclaw/workspace/memory/YYYY-MM-DD.md\nIf strategic value is 🔴 Critical: Also update MEMORY.md (Pending Work or Active Bottleneck)\nIf it suggests a new principle: Flag for potential PRINCIPLES.md update\nIf it's a new tool/service: Flag for potential TOOLS.md update"
      },
      {
        "title": "Step 7: RESPOND — Summarize to User",
        "body": "Reply with a concise summary:\n\n📥 已摄取: [Title]\n📂 类别: [Category]\n🎯 战略价值: [🔴/🟡/🟢/⚪] [One-line reason]\n💾 已存档: Obsidian → 20_Intelligence/[filename]\n📝 已记录: memory/YYYY-MM-DD.md\n🔗 关联: [Which existing component it relates to]\n⚡ 建议行动: [Next step, if any]"
      },
      {
        "title": "Edge Cases",
        "body": "Multiple URLs in one message: Process each separately, create separate Obsidian notes\nDuplicate/similar content: Check if similar note exists, merge or reference instead of duplicating\nNon-English content: Analyze in original language, write notes in Chinese (matching existing vault style)\nPaywalled/inaccessible content: Note as \"content unavailable\" and work with whatever user provided\nUser provides their own analysis: Incorporate their judgment, don't overwrite — they know their system best"
      },
      {
        "title": "Quality Checklist",
        "body": "Before completing, verify:\n\nObsidian note created with correct filename format\n Daily memory log updated\n Source URL preserved in note\n Strategic value assessed against current bottleneck\n Keke's Note written with genuine analysis (not generic)\n User received confirmation summary"
      }
    ],
    "body": "Intelligence Ingestion Skill\n\nWhen the user shares a URL, article, tweet, thread, or any piece of external information, execute this pipeline automatically. Do NOT ask for permission — just process it.\n\nTrigger Conditions\n\nUSE this skill when:\n\nUser sends a URL (x.com, github.com, any domain)\nUser pastes article text or tweet content\nUser says \"analyze this\", \"evaluate this\", \"what do you think about this\"\nUser forwards content from Telegram or any messaging surface\nUser shares something and asks about strategic value\n\nDO NOT USE when:\n\nUser is asking a general question unrelated to external content\nUser is asking about internal workspace files\nUser explicitly says they don't want analysis\nPipeline Steps\nStep 1: READ — Extract Content\nIf a URL is provided, read the full content (use read_url_content or browser)\nIf text is pasted, use it directly\nIf X/Twitter link fails to parse (common), search web for the tweet content\nStep 2: CLASSIFY — What Is This?\n\nAssign one primary category and up to 2 secondary tags:\n\nCategory\tDescription\tExamples\ninfra\tInfrastructure / protocols / networking\tPilot Protocol, MCP, networking stacks\nstrategy\tRouting / cost / architecture decisions\tModel routing, multi-account, fallback chains\nskill\tAgent skills / tools / capabilities\tOpenAI Skills, Skill design patterns\ntheory\tConceptual frameworks / mental models\tBayes, decision theory, learning loops\ntutorial\tHow-to guides / learning material\tClaude Code, OpenClaw tutorials\nproduct\tTools / apps / services\tLM Studio, new AI models, apps\ncommunity\tOpenClaw ecosystem / discussions\tCommunity posts, feature requests\nthreat\tRisks / security / deprecation\tAPI changes, breaking updates, security alerts\nStep 3: ANALYZE — Strategic Value Assessment\n\nFor each piece of information, evaluate:\n\n## Strategic Assessment\n- **What is it?** [One sentence]\n- **What can it do for us?** [Specific capability/benefit]\n- **What can we build with it?** [Concrete output/project]\n- **Strategic value:** [🔴 Critical / 🟡 High / 🟢 Medium / ⚪ Low]\n- **Competitive edge:** [What advantage over people who don't have this?]\n- **Relation to active bottleneck:** [Does it relate to context overflow/token saving?]\n\n\nReference the current engineering bottleneck from MEMORY.md → \"Active Engineering Bottleneck\" section.\n\nStep 4: MAP — Relate to Existing Architecture\n\nCheck against the OpenClaw stack:\n\nSOUL.md → PRINCIPLES.md → AGENTS.md (Identity Stack)\nMEMORY.md (System State + Bottleneck)\nTOOLS.md (Coprocessors: Codex, Antigravity, LM Studio)\nPilot Protocol (Context Separation Layer - P0)\n\n\nDetermine which layer this information impacts and note dependencies/synergies with existing components.\n\nStep 5: STORE — Write Obsidian Note\n\nCreate a note at:\n\n/Volumes/T7 Shield/Obsidian_Vault/20_Intelligence/YYYYMMDD_AuthorOrSource_ShortTitle.md\n\n\nFollow this template exactly:\n\n# [Title]\n\n**Source:** [Link](URL)\n**Date:** YYYY-MM-DD\n**Category:** [Primary Category] / [Secondary Tags]\n**Strategic Value:** [🔴/🟡/🟢/⚪] + one-line reason\n**Relation to Active Bottleneck:** [Yes/No + how]\n\n---\n\n## Summary\n[2-3 paragraphs of core content]\n\n## Key Takeaways\n[Numbered list of actionable insights]\n\n## Impact on OpenClaw Architecture\n[How this relates to our stack]\n\n## Action Items\n[What to do next, if anything]\n\n---\n\n**Keke's Note:** [Opinionated analysis in Keke's voice — direct, no-BS, relate to 阳哥's goals]\n\nStep 6: REMEMBER — Update Memory\nAlways append to today's daily log: ~/.openclaw/workspace/memory/YYYY-MM-DD.md\nIf strategic value is 🔴 Critical: Also update MEMORY.md (Pending Work or Active Bottleneck)\nIf it suggests a new principle: Flag for potential PRINCIPLES.md update\nIf it's a new tool/service: Flag for potential TOOLS.md update\nStep 7: RESPOND — Summarize to User\n\nReply with a concise summary:\n\n📥 已摄取: [Title]\n📂 类别: [Category]\n🎯 战略价值: [🔴/🟡/🟢/⚪] [One-line reason]\n💾 已存档: Obsidian → 20_Intelligence/[filename]\n📝 已记录: memory/YYYY-MM-DD.md\n🔗 关联: [Which existing component it relates to]\n⚡ 建议行动: [Next step, if any]\n\nEdge Cases\nMultiple URLs in one message: Process each separately, create separate Obsidian notes\nDuplicate/similar content: Check if similar note exists, merge or reference instead of duplicating\nNon-English content: Analyze in original language, write notes in Chinese (matching existing vault style)\nPaywalled/inaccessible content: Note as \"content unavailable\" and work with whatever user provided\nUser provides their own analysis: Incorporate their judgment, don't overwrite — they know their system best\nQuality Checklist\n\nBefore completing, verify:\n\n Obsidian note created with correct filename format\n Daily memory log updated\n Source URL preserved in note\n Strategic value assessed against current bottleneck\n Keke's Note written with genuine analysis (not generic)\n User received confirmation summary"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/2233admin/openclaw-skill-intelligence-ingestion",
    "publisherUrl": "https://clawhub.ai/2233admin/openclaw-skill-intelligence-ingestion",
    "owner": "2233admin",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/openclaw-skill-intelligence-ingestion",
    "downloadUrl": "https://openagent3.xyz/downloads/openclaw-skill-intelligence-ingestion",
    "agentUrl": "https://openagent3.xyz/skills/openclaw-skill-intelligence-ingestion/agent",
    "manifestUrl": "https://openagent3.xyz/skills/openclaw-skill-intelligence-ingestion/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/openclaw-skill-intelligence-ingestion/agent.md"
  }
}