Csv Data Summarizer
Helps with CSV, data as part of writing, documentation, and content creation workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add csv-data-summarizer npx -- -y @trustedskills/csv-data-summarizer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"csv-data-summarizer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/csv-data-summarizer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The csv-data-summarizer skill enables AI agents to analyze and summarize data from CSV files. It can extract key insights, identify trends, and present the information in a concise format suitable for reporting or decision-making.
When to use it
- You need a quick overview of large datasets without manually reviewing all rows.
- You want to highlight important patterns or anomalies within the data.
- You're preparing a report and require structured summaries from raw CSV files.
- You are automating data analysis workflows for regular reporting tasks.
Key capabilities
- Extracts summary statistics (e.g., averages, totals) from numerical columns.
- Identifies and highlights unique or repeated values in categorical columns.
- Detects trends over time if the dataset includes a date/time column.
- Outputs summaries in plain text or structured formats like JSON or markdown.
Example prompts
- "Summarize this CSV file and highlight any unusual patterns."
- "Generate a report with key statistics from the sales data in this CSV."
- "What are the most common categories in this dataset?"
Tips & gotchas
- Ensure your CSV files are properly formatted with headers for accurate parsing.
- Large datasets may take longer to process, so consider optimizing or sampling the data if needed.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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