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csv-cleaner

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Quickly clean and normalize CSV files into JSON.

Data & Analytics#python#json#csv#data cleaning#data preprocessing
Authordawsonblock
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of dealing with messy CSV files by trimming whitespace, deduplicating headers, and converting them into normalized JSON output, simplifying data analysis and processing.

Core Features & Use Cases

  • Whitespace Trimming: Removes unnecessary spaces from cell contents for cleaner data.
  • Header Deduplication: Ensures consistent header names, making the data more uniform.
  • JSON Conversion: Outputs data in a structured JSON format for easy analysis and manipulation.
  • Use Case: Use the csv-cleaner skill to clean and convert a CSV file into JSON, ready for further data analysis or machine learning models.

Quick Start

To use the csv-cleaner skill, simply provide the path to your CSV file as an input, and the skill will return the cleaned JSON output.

Dependency Matrix

Required Modules

None required

Components

scriptsmetadatavalidation_report

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: csv-cleaner
Download link: https://github.com/dawsonblock/agent_eval_skills_merged_clean/archive/main.zip#csv-cleaner

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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