{
  "schemaVersion": "1.0",
  "item": {
    "slug": "research-cog",
    "name": "research-cog",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/nitishgargiitd/research-cog",
    "canonicalUrl": "https://clawhub.ai/nitishgargiitd/research-cog",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/research-cog",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=research-cog",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md"
    ],
    "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": "2026-05-07T17:22:31.273Z",
      "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",
      "probeMethod": "head",
      "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/research-cog"
    },
    "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/research-cog",
    "agentPageUrl": "https://openagent3.xyz/skills/research-cog/agent",
    "manifestUrl": "https://openagent3.xyz/skills/research-cog/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/research-cog/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": "Research Cog - Deep Research Powered by CellCog",
        "body": "#1 on DeepResearch Bench (Feb 2026). Your AI research analyst for comprehensive, citation-backed research on any topic.\n\nLeaderboard: https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard"
      },
      {
        "title": "Prerequisites",
        "body": "This skill requires the cellcog skill for SDK setup and API calls.\n\nclawhub install cellcog\n\nRead the cellcog skill first for SDK setup. This skill shows you what's possible.\n\nQuick pattern (v1.0+):\n\n# Fire-and-forget - returns immediately\nresult = client.create_chat(\n    prompt=\"[your research query]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"research-task\",\n    chat_mode=\"agent team\"  # Deep research\n)\n# Daemon notifies you when complete - do NOT poll"
      },
      {
        "title": "Competitive Analysis",
        "body": "Analyze companies against their competitors with structured insights:\n\nCompany vs. Competitors: \"Compare Stripe vs Square vs Adyen - market positioning, pricing, features, strengths/weaknesses\"\nSWOT Analysis: \"Create a SWOT analysis for Shopify in the e-commerce platform market\"\nMarket Positioning: \"How does Notion position itself against Confluence, Coda, and Obsidian?\"\nFeature Comparison: \"Compare the AI capabilities of Salesforce, HubSpot, and Zoho CRM\""
      },
      {
        "title": "Market Research",
        "body": "Understand markets, industries, and trends:\n\nIndustry Analysis: \"Analyze the electric vehicle market in Europe - size, growth, key players, trends\"\nMarket Sizing: \"What's the TAM/SAM/SOM for AI-powered customer service tools in North America?\"\nTrend Analysis: \"What are the emerging trends in sustainable packaging for 2026?\"\nCustomer Segments: \"Identify and profile the key customer segments for premium pet food\"\nRegulatory Landscape: \"Research FDA regulations for AI-powered medical devices\""
      },
      {
        "title": "Stock & Investment Analysis",
        "body": "Financial research with data and analysis:\n\nCompany Fundamentals: \"Analyze NVIDIA's financials - revenue growth, margins, competitive moat\"\nInvestment Thesis: \"Build an investment thesis for Microsoft's AI strategy\"\nSector Analysis: \"Compare semiconductor stocks - NVDA, AMD, INTC, TSM\"\nRisk Assessment: \"What are the key risks for Tesla investors in 2026?\"\nEarnings Analysis: \"Summarize Apple's Q4 2025 earnings and forward guidance\""
      },
      {
        "title": "Academic & Technical Research",
        "body": "Deep dives with proper citations:\n\nLiterature Review: \"Research the current state of quantum error correction techniques\"\nTechnology Deep Dive: \"Explain transformer architectures and their evolution from attention mechanisms\"\nScientific Topics: \"What's the latest research on CRISPR gene editing for cancer treatment?\"\nHistorical Analysis: \"Research the history and impact of the Bretton Woods system\""
      },
      {
        "title": "Due Diligence",
        "body": "Comprehensive research for decision-making:\n\nStartup Due Diligence: \"Research [Company Name] - founding team, funding, product, market, competitors\"\nVendor Evaluation: \"Compare AWS, GCP, and Azure for enterprise AI/ML workloads\"\nPartnership Analysis: \"Research potential risks and benefits of partnering with [Company]\""
      },
      {
        "title": "Research Output Formats",
        "body": "CellCog can deliver research in multiple formats:\n\nFormatBest ForInteractive HTML ReportExplorable dashboards with charts, expandable sectionsPDF ReportShareable, printable professional documentsMarkdownIntegration into your docs/wikisPlain ResponseQuick answers in chat\n\nSpecify your preferred format in the prompt:\n\n\"Create an interactive HTML report on...\"\n\"Generate a PDF research report analyzing...\"\n\"Give me a markdown summary of...\""
      },
      {
        "title": "When to Use Agent Team Mode",
        "body": "For research, always use chat_mode=\"agent team\" (the default).\n\nAgent team mode enables:\n\nMulti-source research and cross-referencing\nCitation verification\nDeeper analysis with multiple reasoning passes\nHigher quality, more comprehensive outputs\n\nUse chat_mode=\"agent\" only for trivial lookups like \"What's Apple's stock ticker?\""
      },
      {
        "title": "Citations (On Request)",
        "body": "Citations are NOT automatic. CellCog focuses on delivering accurate, well-researched content by default.\n\nIf you need citations:\n\nExplicitly request them: \"Include citations for all factual claims with source URLs\"\nSpecify format: \"Provide citations as footnotes\" or \"Include a references section at the end\"\nIndicate placement: \"Citations inline\" vs \"Citations in appendix\"\n\nWithout explicit citation requests, CellCog prioritizes delivering accurate information efficiently."
      },
      {
        "title": "Data Accuracy",
        "body": "CellCog cross-references multiple sources for financial and statistical data, ensuring accuracy even without explicit citations."
      },
      {
        "title": "Structured Analysis",
        "body": "Complex research is organized with clear sections, executive summaries, and actionable insights."
      },
      {
        "title": "Visual Elements",
        "body": "Research reports can include:\n\nCharts and graphs\nComparison tables\nTimeline visualizations\nMarket maps"
      },
      {
        "title": "Example Research Prompts",
        "body": "Quick competitive intel:\n\n\"Compare Figma vs Sketch vs Adobe XD for enterprise UI design teams. Focus on collaboration features, pricing, and Figma's position after the Adobe acquisition failed.\"\n\nDeep market research:\n\n\"Create a comprehensive market research report on the AI coding assistant market. Include market size, growth projections, key players (GitHub Copilot, Cursor, Codeium, etc.), pricing models, and enterprise adoption trends. Deliver as an interactive HTML report.\"\n\nInvestment analysis:\n\n\"Build an investment analysis for Palantir (PLTR). Cover business model, government vs commercial revenue mix, AI product strategy, valuation metrics, and key risks. Include relevant charts.\"\n\nAcademic deep dive:\n\n\"Research the current state of nuclear fusion energy. Cover recent breakthroughs (NIF, ITER, private companies like Commonwealth Fusion), technical challenges remaining, timeline to commercial viability, and investment landscape.\""
      },
      {
        "title": "Tips for Better Research",
        "body": "Be specific: \"AI market\" is vague. \"Enterprise AI automation market in healthcare\" is better.\n\n\nSpecify timeframe: \"Recent\" is ambiguous. \"2025-2026\" or \"last 6 months\" is clearer.\n\n\nDefine scope: \"Compare everything about X and Y\" leads to bloat. \"Compare X and Y on pricing, features, and market positioning\" is focused.\n\n\nRequest structure: \"Include executive summary, key findings, and recommendations\" helps organize output.\n\n\nMention output format: \"Deliver as PDF\" or \"Create interactive HTML dashboard\" gets you the right format."
      }
    ],
    "body": "Research Cog - Deep Research Powered by CellCog\n\n#1 on DeepResearch Bench (Feb 2026). Your AI research analyst for comprehensive, citation-backed research on any topic.\n\nLeaderboard: https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard\n\nPrerequisites\n\nThis skill requires the cellcog skill for SDK setup and API calls.\n\nclawhub install cellcog\n\n\nRead the cellcog skill first for SDK setup. This skill shows you what's possible.\n\nQuick pattern (v1.0+):\n\n# Fire-and-forget - returns immediately\nresult = client.create_chat(\n    prompt=\"[your research query]\",\n    notify_session_key=\"agent:main:main\",\n    task_label=\"research-task\",\n    chat_mode=\"agent team\"  # Deep research\n)\n# Daemon notifies you when complete - do NOT poll\n\nWhat You Can Research\nCompetitive Analysis\n\nAnalyze companies against their competitors with structured insights:\n\nCompany vs. Competitors: \"Compare Stripe vs Square vs Adyen - market positioning, pricing, features, strengths/weaknesses\"\nSWOT Analysis: \"Create a SWOT analysis for Shopify in the e-commerce platform market\"\nMarket Positioning: \"How does Notion position itself against Confluence, Coda, and Obsidian?\"\nFeature Comparison: \"Compare the AI capabilities of Salesforce, HubSpot, and Zoho CRM\"\nMarket Research\n\nUnderstand markets, industries, and trends:\n\nIndustry Analysis: \"Analyze the electric vehicle market in Europe - size, growth, key players, trends\"\nMarket Sizing: \"What's the TAM/SAM/SOM for AI-powered customer service tools in North America?\"\nTrend Analysis: \"What are the emerging trends in sustainable packaging for 2026?\"\nCustomer Segments: \"Identify and profile the key customer segments for premium pet food\"\nRegulatory Landscape: \"Research FDA regulations for AI-powered medical devices\"\nStock & Investment Analysis\n\nFinancial research with data and analysis:\n\nCompany Fundamentals: \"Analyze NVIDIA's financials - revenue growth, margins, competitive moat\"\nInvestment Thesis: \"Build an investment thesis for Microsoft's AI strategy\"\nSector Analysis: \"Compare semiconductor stocks - NVDA, AMD, INTC, TSM\"\nRisk Assessment: \"What are the key risks for Tesla investors in 2026?\"\nEarnings Analysis: \"Summarize Apple's Q4 2025 earnings and forward guidance\"\nAcademic & Technical Research\n\nDeep dives with proper citations:\n\nLiterature Review: \"Research the current state of quantum error correction techniques\"\nTechnology Deep Dive: \"Explain transformer architectures and their evolution from attention mechanisms\"\nScientific Topics: \"What's the latest research on CRISPR gene editing for cancer treatment?\"\nHistorical Analysis: \"Research the history and impact of the Bretton Woods system\"\nDue Diligence\n\nComprehensive research for decision-making:\n\nStartup Due Diligence: \"Research [Company Name] - founding team, funding, product, market, competitors\"\nVendor Evaluation: \"Compare AWS, GCP, and Azure for enterprise AI/ML workloads\"\nPartnership Analysis: \"Research potential risks and benefits of partnering with [Company]\"\nResearch Output Formats\n\nCellCog can deliver research in multiple formats:\n\nFormat\tBest For\nInteractive HTML Report\tExplorable dashboards with charts, expandable sections\nPDF Report\tShareable, printable professional documents\nMarkdown\tIntegration into your docs/wikis\nPlain Response\tQuick answers in chat\n\nSpecify your preferred format in the prompt:\n\n\"Create an interactive HTML report on...\"\n\"Generate a PDF research report analyzing...\"\n\"Give me a markdown summary of...\"\nWhen to Use Agent Team Mode\n\nFor research, always use chat_mode=\"agent team\" (the default).\n\nAgent team mode enables:\n\nMulti-source research and cross-referencing\nCitation verification\nDeeper analysis with multiple reasoning passes\nHigher quality, more comprehensive outputs\n\nUse chat_mode=\"agent\" only for trivial lookups like \"What's Apple's stock ticker?\"\n\nResearch Quality Features\nCitations (On Request)\n\nCitations are NOT automatic. CellCog focuses on delivering accurate, well-researched content by default.\n\nIf you need citations:\n\nExplicitly request them: \"Include citations for all factual claims with source URLs\"\nSpecify format: \"Provide citations as footnotes\" or \"Include a references section at the end\"\nIndicate placement: \"Citations inline\" vs \"Citations in appendix\"\n\nWithout explicit citation requests, CellCog prioritizes delivering accurate information efficiently.\n\nData Accuracy\n\nCellCog cross-references multiple sources for financial and statistical data, ensuring accuracy even without explicit citations.\n\nStructured Analysis\n\nComplex research is organized with clear sections, executive summaries, and actionable insights.\n\nVisual Elements\n\nResearch reports can include:\n\nCharts and graphs\nComparison tables\nTimeline visualizations\nMarket maps\nExample Research Prompts\n\nQuick competitive intel:\n\n\"Compare Figma vs Sketch vs Adobe XD for enterprise UI design teams. Focus on collaboration features, pricing, and Figma's position after the Adobe acquisition failed.\"\n\nDeep market research:\n\n\"Create a comprehensive market research report on the AI coding assistant market. Include market size, growth projections, key players (GitHub Copilot, Cursor, Codeium, etc.), pricing models, and enterprise adoption trends. Deliver as an interactive HTML report.\"\n\nInvestment analysis:\n\n\"Build an investment analysis for Palantir (PLTR). Cover business model, government vs commercial revenue mix, AI product strategy, valuation metrics, and key risks. Include relevant charts.\"\n\nAcademic deep dive:\n\n\"Research the current state of nuclear fusion energy. Cover recent breakthroughs (NIF, ITER, private companies like Commonwealth Fusion), technical challenges remaining, timeline to commercial viability, and investment landscape.\"\n\nTips for Better Research\n\nBe specific: \"AI market\" is vague. \"Enterprise AI automation market in healthcare\" is better.\n\nSpecify timeframe: \"Recent\" is ambiguous. \"2025-2026\" or \"last 6 months\" is clearer.\n\nDefine scope: \"Compare everything about X and Y\" leads to bloat. \"Compare X and Y on pricing, features, and market positioning\" is focused.\n\nRequest structure: \"Include executive summary, key findings, and recommendations\" helps organize output.\n\nMention output format: \"Deliver as PDF\" or \"Create interactive HTML dashboard\" gets you the right format."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/nitishgargiitd/research-cog",
    "publisherUrl": "https://clawhub.ai/nitishgargiitd/research-cog",
    "owner": "nitishgargiitd",
    "version": "1.0.3",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/research-cog",
    "downloadUrl": "https://openagent3.xyz/downloads/research-cog",
    "agentUrl": "https://openagent3.xyz/skills/research-cog/agent",
    "manifestUrl": "https://openagent3.xyz/skills/research-cog/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/research-cog/agent.md"
  }
}