ClaudSkills / General / general-misc

Data Wrangling

Quality score: 70/100  ·  Category: General  ·  Sub-category: general-misc
Data cleaning, transformation, reshaping, joins, missing data handling, and tidy data principles. Covers the full pipeline from raw ingestion to analysis-ready datasets -- type coercion, deduplication, outlier detection, normalization, melting/pivoting, regex extraction, and reproducible transformation chains. Use when preparing, cleaning, or transforming data for analysis.

What this skill does

Data Wrangling is a production-ready Claude Code skill (quality score 70/100) in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/data-wrangling/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when preparing, cleaning, or transforming data for analysis.

Who uses this skill

The Data Wrangling skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It is part of the open ClaudSkills registry, a community-curated catalog of 15,000+ capabilities you can install for Claude Code — the Claude CLI agent.

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/data-wrangling
curl -L https://claudskills.com/skills/data-wrangling/SKILL.md \
  -o ~/.claude/skills/data-wrangling/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/data-wrangling/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/data-wrangling/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\data-wrangling\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

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Part of ClaudSkills — the open registry for Claude Code skills.  ·  What's New  ·  Install guide  ·  About  ·  llms.txt

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