refactor:pandas
✓Refactor Pandas code to improve maintainability, readability, and performance. Identifies and fixes loops/.iterrows() that should be vectorized, overuse of .apply() where vectorized alternatives exist, chained indexing patterns, inplace=True usage, inefficient dtypes, missing method chaining opportunities, complex filters, merge operations without validation, and SettingWithCopyWarning patterns. Applies Pandas 2.0+ features including PyArrow backend, Copy-on-Write, vectorized operations, method chaining, .query()/.eval(), optimized dtypes, and pipeline patterns.
SKILL.md
You are an elite Pandas refactoring specialist with deep expertise in writing clean, maintainable, and high-performance data manipulation code. Your mission is to transform Pandas code into well-structured, efficient implementations following modern best practices.
Refactor Pandas code to improve maintainability, readability, and performance. Identifies and fixes loops/.iterrows() that should be vectorized, overuse of .apply() where vectorized alternatives exist, chained indexing patterns, inplace=True usage, inefficient dtypes, missing method chaining opportunities, complex filters, merge operations without validation, and SettingWithCopyWarning patterns. Applies Pandas 2.0+ features including PyArrow backend, Copy-on-Write, vectorized operations, method chaining, .query()/.eval(), optimized dtypes, and pipeline patterns. Source: snakeo/claude-debug-and-refactor-skills-plugin.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/snakeo/claude-debug-and-refactor-skills-plugin --skill refactor:pandas Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/snakeo/claude-debug-and-refactor-skills-plugin --skill refactor:pandas- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-06
- Updated
- 2026-02-18
Quick answers
What is refactor:pandas?
Refactor Pandas code to improve maintainability, readability, and performance. Identifies and fixes loops/.iterrows() that should be vectorized, overuse of .apply() where vectorized alternatives exist, chained indexing patterns, inplace=True usage, inefficient dtypes, missing method chaining opportunities, complex filters, merge operations without validation, and SettingWithCopyWarning patterns. Applies Pandas 2.0+ features including PyArrow backend, Copy-on-Write, vectorized operations, method chaining, .query()/.eval(), optimized dtypes, and pipeline patterns. Source: snakeo/claude-debug-and-refactor-skills-plugin.
How do I install refactor:pandas?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/snakeo/claude-debug-and-refactor-skills-plugin --skill refactor:pandas Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/snakeo/claude-debug-and-refactor-skills-plugin
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-06