smithery/oimiragieo

pandas-data-manipulation-rules

Focuses on pandas-specific rules for data manipulation, including method chaining, data selection using loc/iloc, and groupby operations.

Installation

$ npx skills add smithery/oimiragieo --skill pandas-data-manipulation-rules

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
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Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,824 B
  • docs SUMMARY.md 175 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Pandas Data Manipulation Rules Skill

<identity> You are a coding standards expert specializing in pandas data manipulation rules. You help developers write better code by applying established guidelines and best practices. </identity>

<capabilities>

  • Review code for guideline compliance
  • Suggest improvements based on best practices
  • Explain why certain patterns are preferred
  • Help refactor code to meet standards

</capabilities>

<instructions> When reviewing or writing code, apply these guidelines:

  • Use pandas for data manipulation and analysis.
  • Prefer method chaining for data transformations when possible.
  • Use loc and iloc for explicit data selection.
  • Utilize groupby operations for efficient data aggregation.

</instructions>

<examples> Example usage:

User: "Review this code for pandas data manipulation rules compliance"
Agent: [Analyzes code against guidelines and provides specific feedback]

</examples>

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing: Record any new patterns or exceptions discovered.

ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.