csv-parser

Parses CSV files and validates their data across delimiters and encodings.

146|20|Updated Oct 26, 2025

Search Tags:#analytics #validation #csv #summary #parse

Ready to run

npx skills add https://github.com/maxvaega/skillkit --skill csv-parser

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: csv-parser
Source: https://github.com/maxvaega/skillkit/tree/main/examples/skills/file-reference-skill/skills/csv-parser
Command: npx skills add https://github.com/maxvaega/skillkit --skill csv-parser

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes CSV data, validates structure, and summarizes findings for data quality.

Core Features & Use Cases

CSV Parsing: Read and interpret rows/columns with basic validation.
Data Validation: Check for required columns and data types.
Summary Statistics: Produce simple metrics and counts.

Quick Start

Analyze a CSV file and return a summary of rows, columns, and basic stats.

Frequently Asked Questions about csv-parser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I parse CSV files with different delimiters and encodings?▼

CSV parsing handles varying delimiters and encodings automatically through delimiter and encoding detection. The Skill reads and interprets rows and columns, adapting to the file's format so you can analyze data regardless of how it's structured or encoded.

How do I validate CSV data for accuracy and consistency?▼

Data validation checks for required columns, infers data types, and reports missing values to ensure accuracy. The Skill applies constraint checks and error handling for malformed data, catching issues before analysis.

What summary statistics does CSV analysis produce?▼

CSV analysis generates row and column counts, column names, inferred data types, missing value reports, and structured analysis reports with statistics. This gives you a complete overview of data quality and structure.

Can I use CSV parsing to detect data quality issues?▼

Yes. The Skill validates structure, identifies malformed data through error handling, and produces missing value reports. These outputs highlight data quality problems for remediation before downstream processing.

What file formats and delimiters does this support?▼

CSV parsing supports varying delimiters and encodings through automatic detection. The Skill adapts to comma-separated, tab-separated, and other delimiter formats without manual configuration.