“CSV”

Parse and analyze CSV data

Convert between JSON and CSV.

Cleans CSV files by trimming whitespace, normalising headers, and removing empty rows.

Read a CSV or XLSX file and return columns, shape, dtypes, and first N rows as JSON.

Standard workflow order, tool selection matrix, and composition patterns for qsv CSV data wrangling

把 CSV 文本解析成结构化表格（headers + rows），支持引号转义。

对表格数据做基础统计：行数、列名、数值列均值。依赖 csv-parse 提供表格输入。

Summarize CSV files, count data rows, and total numeric columns.

Use this skill when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values…

Parse, query, filter, sort, transform, and summarize CSV and JSON data files.

Profile a CSV file and produce a Markdown report with row/column counts, fill rates, unique values, and numeric or categorical summaries.

Process, transform, analyze, and report on CSV and JSON data files.

Write and verify a small Python program that analyzes CSV data robustly (dedupe, filter, aggregate, record bad rows).

分析 CSV 数据并产出可复核的数字结论

Merges, appends, joins, and deduplicates multiple CSV, TSV, and Excel files (including multi-sheet workbooks) with pandas - mapping mismatched column names to…

Compute summary statistics (row count, column types, min/max/mean for numeric columns) for a CSV file in the workspace.

Answer small CSV questions accurately with careful tabular reasoning.

Summarize CSV files into per-column stats (type, count, nulls, min/max/mean for numbers).

Summarize small CSV snippets and produce concise operational observations.

Analyzes CSV files and generates summary reports when users have data files to analyze.

This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data…

Summarize CSV files with statistics and previews.

Use csv-update to batch-modify a property across multiple documents.

Magento 2 best practices for database queries and CSV exports.