csv-data-wrangler
Expert in high-performance CSV processing, parsing, and data cleaning using Python, DuckDB, and command-line tools. Use when working with CSV files, cleaning data, transforming datasets, or processing large tabular data files.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill csv-data-wrangler- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads csv-data-wrangler automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
CSV Data Wrangler
Purpose
Provides expertise in efficient CSV file processing, data cleaning, and transformation. Handles large files, encoding issues, malformed data, and performance optimization for tabular data workflows.
When to Use
- Processing large CSV files efficiently
- Cleaning and validating CSV data
- Transforming and reshaping datasets
- Handling encoding and delimiter issues
- Merging or splitting CSV files
- Converting between tabular formats
- Querying CSV with SQL (DuckDB)
Quick Start
Invoke this skill when:
- Processing large CSV files efficiently
- Cleaning and validating CSV data
- Transforming and reshaping datasets
- Handling encoding and delimiter issues
- Querying CSV with SQL
Do NOT invoke when:
- Building Excel files with formatting (use xlsx-skill)
- Statistical analysis of data (use data-analyst)
- Building data pipelines (use data-engineer)
- Database operations (use sql-pro)
Decision Framework
Tool Selection by File Size:
├── < 100MB → pandas
├── 100MB - 1GB → pandas with chunking or polars
├── 1GB - 10GB → DuckDB or polars
├── > 10GB → DuckDB, Spark, or streaming
└── Quick exploration → csvkit or xsv CLI
Processing Type:
├── SQL-like queries → DuckDB
├── Complex transforms → pandas/polars
├── Simple filtering → csvkit/xsv
└── Streaming → Python csv module
Core Workflows
1. Large CSV Processing
- Profile file (size, encoding, delimiter)
- Choose appropriate tool for scale
- Process in chunks if memory-constrained
- Handle encoding issues (UTF-8, Latin-1)
- Validate data types per column
- Write output with proper quoting
2. Data Cleaning Pipeline
- Load sample to understand structure
- Identify missing and malformed values
- Define cleaning rules per column
- Apply transformations
- Validate output quality
- Log cleaning statistics
3. CSV Query with DuckDB
- Point DuckDB at CSV file(s)
- Let DuckDB infer schema
- Write SQL queries directly
- Export results to new CSV
- Optionally persist as Parquet
Best Practices
- Always specify encoding explicitly
- Use chunked reading for large files
- Profile before choosing tools
- Preserve original files, write to new
- Validate row counts before/after
- Handle quoted fields and escapes properly
Anti-Patterns
| Anti-Pattern | Problem | Correct Approach |
|---|---|---|
| Loading all to memory | OOM on large files | Use chunking or streaming |
| Guessing encoding | Corrupted characters | Detect with chardet first |
| Ignoring quoting | Broken field parsing | Use proper CSV parser |
| No validation | Silent data corruption | Validate row/column counts |
| Manual string splitting | Breaks on edge cases | Use csv module or pandas |
FAQ
What does the csv-data-wrangler skill do?
Expert in high-performance CSV processing, parsing, and data cleaning using Python, DuckDB, and command-line tools. Use when working with CSV files, cleaning data, transforming datasets, or processing large tabular data files.
How do I install csv-data-wrangler?
Run npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill csv-data-wrangler in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/csv-data-wrangler/ (personal) or .claude/skills/csv-data-wrangler/ (project).
Which AI agents can use csv-data-wrangler?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is csv-data-wrangler safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains csv-data-wrangler?
It is published by 404kidwiz in 404kidwiz/claude-supercode-skills. It has 184 recorded installs.
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