About analyze-csv
analyze-csv is a skill for inspecting CSV files, aimed at requests for schema, data quality, statistics, or anomaly analysis. It reports dataset dimensions, column-level observations, missing values, and actionable findings.
Key features
- 01CSV schema inspection
- 02Row and column counts
- 03Data type observations
- 04Numeric statistics
- 05Missing-value and anomaly signals
Use cases
- 01Check a CSV for missing values
- 02Summarize numeric columns
- 03Identify potential data anomalies
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/analyze-csvin Claude Code to confirm it loaded.
Details
From the project READMEAnalyze CSV
Purpose
Load a CSV and provide insights
Routing
- Use when: Use when asked to analyze a CSV file for schema, data quality, statistical summaries, or anomalies.
- Do not use when: Don't use this for non-tabular files or for purely visual charting without data inspection.
- Outputs: Concise dataset summary with column stats, missing-value signals, and actionable insights.
- Success criteria: Reports include row/column counts, datatype observations, numeric statistics, and high-confidence anomalies.
Trigger Examples
Positive
- Use the analyze-csv skill for this request.
- Help me with analyze csv.
- Use when asked to analyze a CSV file for schema, data quality, statistical summaries, or anomalies.
- Analyze CSV: provide an actionable result.
Negative
- Don't use this for non-tabular files or for purely visual charting without data inspection.
- Do not use analyze-csv for unrelated requests.
- This request is outside analyze csv scope.
- This is conceptual discussion only; no tool workflow is needed.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
| path | string | Yes | Path to the CSV file |
Runtime Prompt
- Current runtime prompt length: 499 characters.
- Runtime prompt is defined directly in
../analyze-csv.json.
Comments
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