{
  "schemaVersion": "1.0",
  "item": {
    "slug": "research-company",
    "name": "Research Company",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/TomsTools11/research-company",
    "canonicalUrl": "https://clawhub.ai/TomsTools11/research-company",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/research-company",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=research-company",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "scripts/generate_report.py",
      "references/data-schema.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-company"
    },
    "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-company",
    "agentPageUrl": "https://openagent3.xyz/skills/research-company/agent",
    "manifestUrl": "https://openagent3.xyz/skills/research-company/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/research-company/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": "Company Research",
        "body": "Generate comprehensive Account Research Reports as professionally styled PDFs from a company URL."
      },
      {
        "title": "Workflow",
        "body": "Research the company (web fetch + searches)\nBuild JSON data structure\nGenerate PDF via scripts/generate_report.py\nDeliver PDF to user"
      },
      {
        "title": "Phase 1: Research (Parallel)",
        "body": "Execute these searches concurrently to minimize context usage:\n\nWebFetch: [company URL]\nWebSearch: \"[company name] funding news 2024\"\nWebSearch: \"[company name] competitors market\"\nWebSearch: \"[company name] CEO founder leadership\"\n\nExtract from website: company name, industry, HQ, founded, leadership, products/services, pricing model, target customers, case studies, testimonials, recent news."
      },
      {
        "title": "Phase 2: Build Data Structure",
        "body": "Create JSON matching this schema (see references/data-schema.md for full spec):\n\n{\n  \"company_name\": \"...\",\n  \"source_url\": \"...\",\n  \"report_date\": \"January 20, 2026\",\n  \"executive_summary\": \"3-5 sentences...\",\n  \"profile\": { \"name\": \"...\", \"industry\": \"...\", ... },\n  \"products\": { \"offerings\": [...], \"differentiators\": [...] },\n  \"target_market\": { \"segments\": \"...\", \"verticals\": [...] },\n  \"use_cases\": [{ \"title\": \"...\", \"description\": \"...\" }],\n  \"competitors\": [{ \"name\": \"...\", \"strengths\": \"...\", \"differentiation\": \"...\" }],\n  \"industry\": { \"trends\": [...], \"opportunities\": [...], \"challenges\": [...] },\n  \"developments\": [{ \"date\": \"...\", \"title\": \"...\", \"description\": \"...\" }],\n  \"lead_gen\": { \"keywords\": {...}, \"outreach_angles\": [...] },\n  \"info_gaps\": [\"...\"]\n}"
      },
      {
        "title": "Phase 3: Generate PDF",
        "body": "# Install if needed\npip install reportlab\n\n# Save JSON to temp file\ncat > /tmp/research_data.json << 'EOF'\n{...your JSON data...}\nEOF\n\n# Generate PDF\npython3 scripts/generate_report.py /tmp/research_data.json /path/to/output/report.pdf"
      },
      {
        "title": "Phase 4: Deliver",
        "body": "Save PDF to workspace folder and provide download link:\n\n[Download Company Research Report](computer:///sessions/.../report.pdf)"
      },
      {
        "title": "Quality Standards",
        "body": "Accuracy: Base claims on observable evidence; cite sources\nSpecificity: Include product names, metrics, customer examples\nCompleteness: Note gaps as \"Not publicly available\"\nNo fabrication: Never invent information"
      },
      {
        "title": "Resources",
        "body": "scripts/generate_report.py - PDF generator (uses reportlab)\nreferences/data-schema.md - Full JSON schema with examples"
      }
    ],
    "body": "Company Research\n\nGenerate comprehensive Account Research Reports as professionally styled PDFs from a company URL.\n\nWorkflow\nResearch the company (web fetch + searches)\nBuild JSON data structure\nGenerate PDF via scripts/generate_report.py\nDeliver PDF to user\nPhase 1: Research (Parallel)\n\nExecute these searches concurrently to minimize context usage:\n\nWebFetch: [company URL]\nWebSearch: \"[company name] funding news 2024\"\nWebSearch: \"[company name] competitors market\"\nWebSearch: \"[company name] CEO founder leadership\"\n\n\nExtract from website: company name, industry, HQ, founded, leadership, products/services, pricing model, target customers, case studies, testimonials, recent news.\n\nPhase 2: Build Data Structure\n\nCreate JSON matching this schema (see references/data-schema.md for full spec):\n\n{\n  \"company_name\": \"...\",\n  \"source_url\": \"...\",\n  \"report_date\": \"January 20, 2026\",\n  \"executive_summary\": \"3-5 sentences...\",\n  \"profile\": { \"name\": \"...\", \"industry\": \"...\", ... },\n  \"products\": { \"offerings\": [...], \"differentiators\": [...] },\n  \"target_market\": { \"segments\": \"...\", \"verticals\": [...] },\n  \"use_cases\": [{ \"title\": \"...\", \"description\": \"...\" }],\n  \"competitors\": [{ \"name\": \"...\", \"strengths\": \"...\", \"differentiation\": \"...\" }],\n  \"industry\": { \"trends\": [...], \"opportunities\": [...], \"challenges\": [...] },\n  \"developments\": [{ \"date\": \"...\", \"title\": \"...\", \"description\": \"...\" }],\n  \"lead_gen\": { \"keywords\": {...}, \"outreach_angles\": [...] },\n  \"info_gaps\": [\"...\"]\n}\n\nPhase 3: Generate PDF\n# Install if needed\npip install reportlab\n\n# Save JSON to temp file\ncat > /tmp/research_data.json << 'EOF'\n{...your JSON data...}\nEOF\n\n# Generate PDF\npython3 scripts/generate_report.py /tmp/research_data.json /path/to/output/report.pdf\n\nPhase 4: Deliver\n\nSave PDF to workspace folder and provide download link:\n\n[Download Company Research Report](computer:///sessions/.../report.pdf)\n\nQuality Standards\nAccuracy: Base claims on observable evidence; cite sources\nSpecificity: Include product names, metrics, customer examples\nCompleteness: Note gaps as \"Not publicly available\"\nNo fabrication: Never invent information\nResources\nscripts/generate_report.py - PDF generator (uses reportlab)\nreferences/data-schema.md - Full JSON schema with examples"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/TomsTools11/research-company",
    "publisherUrl": "https://clawhub.ai/TomsTools11/research-company",
    "owner": "TomsTools11",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "downloadUrl": "https://openagent3.xyz/downloads/research-company",
    "agentUrl": "https://openagent3.xyz/skills/research-company/agent",
    "manifestUrl": "https://openagent3.xyz/skills/research-company/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/research-company/agent.md"
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}