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    "name": "CSV Data Analyzer",
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      "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."
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "CSV Data Analyzer",
        "body": "A skill that enables Claw to load, explore, analyze, and visualize CSV datasets, providing statistical insights and answering questions about the data."
      },
      {
        "title": "What This Skill Does",
        "body": "This skill equips Claw with a structured approach to CSV data analysis:\n\nData Loading & Inspection — Read CSV files, detect column types, and display basic structure (shape, columns, sample rows)\nData Cleaning — Identify and handle missing values, duplicates, and type inconsistencies\nStatistical Summary — Compute descriptive statistics (mean, median, mode, standard deviation, percentiles) for numeric columns\nFiltering & Grouping — Slice data by conditions and aggregate by categories\nCorrelation Analysis — Find relationships between numeric variables\nVisualization — Generate charts (bar, line, scatter, histogram) to illustrate patterns"
      },
      {
        "title": "How to Use",
        "body": "Provide a CSV file and ask Claw to analyze it:\n\n\"Analyze this sales data and tell me which product category has the highest revenue\"\n\"Find outliers in the temperature column of this dataset\"\n\"Create a chart showing monthly trends from this CSV\"\n\"Compare group A vs group B performance in this experiment data\""
      },
      {
        "title": "Requirements",
        "body": "Input must be a valid CSV file (comma-separated by default; other delimiters can be specified)\nPython with pandas and matplotlib should be available in the environment"
      },
      {
        "title": "Output",
        "body": "Summary statistics table\nKey insights in plain language\nCharts saved as PNG files when visualization is requested\nCleaned dataset exported as a new CSV if data cleaning was performed"
      }
    ],
    "body": "CSV Data Analyzer\n\nA skill that enables Claw to load, explore, analyze, and visualize CSV datasets, providing statistical insights and answering questions about the data.\n\nWhat This Skill Does\n\nThis skill equips Claw with a structured approach to CSV data analysis:\n\nData Loading & Inspection — Read CSV files, detect column types, and display basic structure (shape, columns, sample rows)\nData Cleaning — Identify and handle missing values, duplicates, and type inconsistencies\nStatistical Summary — Compute descriptive statistics (mean, median, mode, standard deviation, percentiles) for numeric columns\nFiltering & Grouping — Slice data by conditions and aggregate by categories\nCorrelation Analysis — Find relationships between numeric variables\nVisualization — Generate charts (bar, line, scatter, histogram) to illustrate patterns\nHow to Use\n\nProvide a CSV file and ask Claw to analyze it:\n\n\"Analyze this sales data and tell me which product category has the highest revenue\"\n\"Find outliers in the temperature column of this dataset\"\n\"Create a chart showing monthly trends from this CSV\"\n\"Compare group A vs group B performance in this experiment data\"\nRequirements\nInput must be a valid CSV file (comma-separated by default; other delimiters can be specified)\nPython with pandas and matplotlib should be available in the environment\nOutput\nSummary statistics table\nKey insights in plain language\nCharts saved as PNG files when visualization is requested\nCleaned dataset exported as a new CSV if data cleaning was performed"
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/underbench2-gif/ub2-csv-data-analyzer",
    "publisherUrl": "https://clawhub.ai/underbench2-gif/ub2-csv-data-analyzer",
    "owner": "underbench2-gif",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "downloadUrl": "https://openagent3.xyz/downloads/ub2-csv-data-analyzer",
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}