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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Setup",
        "body": "Install dependencies:\n\npip install -r scripts/requirements.txt\n\nConfigure credentials by creating a .env file in the project root:\n\nDATAFORSEO_LOGIN=your_email@example.com\nDATAFORSEO_PASSWORD=your_api_password\n\nGet credentials from: https://app.dataforseo.com/api-access"
      },
      {
        "title": "Quick Start",
        "body": "User saysFunction to call\"Research keywords for [topic]\"keyword_research(\"topic\")\"YouTube keyword data for [idea]\"youtube_keyword_research(\"idea\")\"Analyze competitor [domain.com]\"competitor_analysis(\"domain.com\")\"What's trending?\"trending_topics()\"Keyword analysis for [list]\"full_keyword_analysis([\"kw1\", \"kw2\"])\"Landing page keywords for [topic]\"landing_page_keyword_research([\"kw1\"], \"competitor.com\")\n\nExecute functions by importing from scripts/main.py:\n\nimport sys\nfrom pathlib import Path\nsys.path.insert(0, str(Path(\"scripts\")))\nfrom main import *\n\nresult = keyword_research(\"AI website builders\")"
      },
      {
        "title": "Workflow Pattern",
        "body": "Every research task follows three phases:"
      },
      {
        "title": "1. Research",
        "body": "Run API functions. Each function call hits the DataForSEO API and returns structured data."
      },
      {
        "title": "2. Auto-Save",
        "body": "All results automatically save as timestamped JSON files to results/{category}/. File naming pattern: YYYYMMDD_HHMMSS__operation__keyword__extra_info.json"
      },
      {
        "title": "3. Summarize",
        "body": "After research, read the saved JSON files and create a markdown summary in results/summary/ with data tables, ranked opportunities, and strategic recommendations."
      },
      {
        "title": "High-Level Functions",
        "body": "These are the primary functions in scripts/main.py. Each orchestrates multiple API calls for a complete research workflow.\n\nFunctionPurposeWhat it gatherskeyword_research(keyword)Single keyword deep-diveOverview, suggestions, related keywords, difficultyyoutube_keyword_research(keyword)YouTube content researchOverview, suggestions, YouTube SERP rankings, YouTube trendslanding_page_keyword_research(keywords, competitor_domain)Landing page SEOOverview, intent, difficulty, SERP analysis, competitor keywordsfull_keyword_analysis(keywords)Strategic content planningOverview, difficulty, intent, keyword ideas, historical volume, Google Trendscompetitor_analysis(domain, keywords)Competitor intelligenceDomain keywords, Google Ads keywords, competitor domainstrending_topics(location_name)Current trendsCurrently trending searches"
      },
      {
        "title": "Parameters",
        "body": "All functions accept an optional location_name parameter (default: \"United States\"). Most functions also have boolean flags to skip specific sub-analyses (e.g., include_suggestions=False)."
      },
      {
        "title": "Individual API Functions",
        "body": "For granular control, import specific functions from the API modules. See references/api-reference.md for the complete list of 25 API functions with parameters, limits, and examples."
      },
      {
        "title": "Results Storage",
        "body": "Results auto-save to results/ with this structure:\n\nresults/\n├── keywords_data/    # Search volume, CPC, competition\n├── labs/             # Suggestions, difficulty, intent\n├── serp/             # Google/YouTube rankings\n├── trends/           # Google Trends data\n└── summary/          # Human-readable markdown summaries"
      },
      {
        "title": "Managing Results",
        "body": "from core.storage import list_results, load_result, get_latest_result\n\n# List recent results\nfiles = list_results(category=\"labs\", limit=10)\n\n# Load a specific result\ndata = load_result(files[0])\n\n# Get most recent result for an operation\nlatest = get_latest_result(category=\"labs\", operation=\"keyword_suggestions\")"
      },
      {
        "title": "Utility Functions",
        "body": "from main import get_recent_results, load_latest\n\n# List recent files across all categories\nfiles = get_recent_results(limit=10)\n\n# Load latest result for a category\ndata = load_latest(\"labs\", \"keyword_suggestions\")"
      },
      {
        "title": "Creating Summaries",
        "body": "After running research, create a markdown summary document in results/summary/. Include:\n\nData tables with volumes, CPC, competition, difficulty\nRanked lists of opportunities (sorted by volume or opportunity score)\nSERP analysis showing what currently ranks\nRecommendations for content strategy, titles, tags\n\nName the summary file descriptively (e.g., results/summary/ai-tools-keyword-research.md)."
      },
      {
        "title": "Tips",
        "body": "Be specific — \"Get keyword suggestions for 'AI website builders'\" works better than \"research AI stuff\"\nRequest summaries — Always create a summary document after research, named specifically\nBatch related keywords — Pass multiple related keywords at once for comparison\nSpecify the goal — \"for a YouTube video\" vs \"for a landing page\" changes which data matters most\nAsk for competition analysis — \"Show me what videos are ranking\" helps identify content gaps"
      },
      {
        "title": "Defaults",
        "body": "Location: United States (code 2840)\nLanguage: English\nAPI Limits: 700 keywords for volume/overview, 1000 for difficulty/intent, 5 for trends, 200 for keyword ideas"
      }
    ],
    "body": "SEO Keyword Research (DataForSEO)\nSetup\n\nInstall dependencies:\n\npip install -r scripts/requirements.txt\n\n\nConfigure credentials by creating a .env file in the project root:\n\nDATAFORSEO_LOGIN=your_email@example.com\nDATAFORSEO_PASSWORD=your_api_password\n\n\nGet credentials from: https://app.dataforseo.com/api-access\n\nQuick Start\nUser says\tFunction to call\n\"Research keywords for [topic]\"\tkeyword_research(\"topic\")\n\"YouTube keyword data for [idea]\"\tyoutube_keyword_research(\"idea\")\n\"Analyze competitor [domain.com]\"\tcompetitor_analysis(\"domain.com\")\n\"What's trending?\"\ttrending_topics()\n\"Keyword analysis for [list]\"\tfull_keyword_analysis([\"kw1\", \"kw2\"])\n\"Landing page keywords for [topic]\"\tlanding_page_keyword_research([\"kw1\"], \"competitor.com\")\n\nExecute functions by importing from scripts/main.py:\n\nimport sys\nfrom pathlib import Path\nsys.path.insert(0, str(Path(\"scripts\")))\nfrom main import *\n\nresult = keyword_research(\"AI website builders\")\n\nWorkflow Pattern\n\nEvery research task follows three phases:\n\n1. Research\n\nRun API functions. Each function call hits the DataForSEO API and returns structured data.\n\n2. Auto-Save\n\nAll results automatically save as timestamped JSON files to results/{category}/. File naming pattern: YYYYMMDD_HHMMSS__operation__keyword__extra_info.json\n\n3. Summarize\n\nAfter research, read the saved JSON files and create a markdown summary in results/summary/ with data tables, ranked opportunities, and strategic recommendations.\n\nHigh-Level Functions\n\nThese are the primary functions in scripts/main.py. Each orchestrates multiple API calls for a complete research workflow.\n\nFunction\tPurpose\tWhat it gathers\nkeyword_research(keyword)\tSingle keyword deep-dive\tOverview, suggestions, related keywords, difficulty\nyoutube_keyword_research(keyword)\tYouTube content research\tOverview, suggestions, YouTube SERP rankings, YouTube trends\nlanding_page_keyword_research(keywords, competitor_domain)\tLanding page SEO\tOverview, intent, difficulty, SERP analysis, competitor keywords\nfull_keyword_analysis(keywords)\tStrategic content planning\tOverview, difficulty, intent, keyword ideas, historical volume, Google Trends\ncompetitor_analysis(domain, keywords)\tCompetitor intelligence\tDomain keywords, Google Ads keywords, competitor domains\ntrending_topics(location_name)\tCurrent trends\tCurrently trending searches\nParameters\n\nAll functions accept an optional location_name parameter (default: \"United States\"). Most functions also have boolean flags to skip specific sub-analyses (e.g., include_suggestions=False).\n\nIndividual API Functions\n\nFor granular control, import specific functions from the API modules. See references/api-reference.md for the complete list of 25 API functions with parameters, limits, and examples.\n\nResults Storage\n\nResults auto-save to results/ with this structure:\n\nresults/\n├── keywords_data/    # Search volume, CPC, competition\n├── labs/             # Suggestions, difficulty, intent\n├── serp/             # Google/YouTube rankings\n├── trends/           # Google Trends data\n└── summary/          # Human-readable markdown summaries\n\nManaging Results\nfrom core.storage import list_results, load_result, get_latest_result\n\n# List recent results\nfiles = list_results(category=\"labs\", limit=10)\n\n# Load a specific result\ndata = load_result(files[0])\n\n# Get most recent result for an operation\nlatest = get_latest_result(category=\"labs\", operation=\"keyword_suggestions\")\n\nUtility Functions\nfrom main import get_recent_results, load_latest\n\n# List recent files across all categories\nfiles = get_recent_results(limit=10)\n\n# Load latest result for a category\ndata = load_latest(\"labs\", \"keyword_suggestions\")\n\nCreating Summaries\n\nAfter running research, create a markdown summary document in results/summary/. Include:\n\nData tables with volumes, CPC, competition, difficulty\nRanked lists of opportunities (sorted by volume or opportunity score)\nSERP analysis showing what currently ranks\nRecommendations for content strategy, titles, tags\n\nName the summary file descriptively (e.g., results/summary/ai-tools-keyword-research.md).\n\nTips\nBe specific — \"Get keyword suggestions for 'AI website builders'\" works better than \"research AI stuff\"\nRequest summaries — Always create a summary document after research, named specifically\nBatch related keywords — Pass multiple related keywords at once for comparison\nSpecify the goal — \"for a YouTube video\" vs \"for a landing page\" changes which data matters most\nAsk for competition analysis — \"Show me what videos are ranking\" helps identify content gaps\nDefaults\nLocation: United States (code 2840)\nLanguage: English\nAPI Limits: 700 keywords for volume/overview, 1000 for difficulty/intent, 5 for trends, 200 for keyword ideas"
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    "provenanceUrl": "https://clawhub.ai/adamkristopher/seo-dataforseo",
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    "owner": "adamkristopher",
    "version": "1.0.0",
    "license": null,
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