Pandas Data Manipulation Rules

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by oimiragieo · vlatest · Repository

Applies complex data cleaning, transformation, and analysis rules using pandas for structured datasets.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add pandas-data-manipulation-rules npx -- -y @trustedskills/pandas-data-manipulation-rules
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "pandas-data-manipulation-rules": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/pandas-data-manipulation-rules"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill allows AI agents to manipulate and analyze data using the pandas library in Python. It can perform operations like filtering rows based on conditions, calculating new columns derived from existing ones, grouping data for aggregation, and applying custom functions to datasets. The agent can also handle missing values and reformat data structures.

When to use it

  • Analyzing sales data to identify top-performing products or regions.
  • Cleaning and preparing customer data for marketing campaigns by removing duplicates and correcting errors.
  • Calculating summary statistics (mean, median, standard deviation) from a dataset of experimental results.
  • Transforming raw log files into structured tables for easier analysis.

Key capabilities

  • Data filtering based on conditions
  • Column creation and modification
  • Grouping and aggregation
  • Custom function application
  • Handling missing values

Example prompts

  • "Filter this CSV file to show only rows where the 'price' column is greater than $50."
  • "Create a new column called 'total_cost' by multiplying the 'quantity' and 'unit_price' columns."
  • "Group this data by 'category' and calculate the average 'rating'."

Tips & gotchas

  • Requires Python and the pandas library to be installed in the agent’s environment.
  • The skill relies on well-structured data, typically in CSV or tabular format. Incorrectly formatted input may lead to errors.

Tags

🛡️

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Details

Version
vlatest
License
Author
oimiragieo
Installs
26

🌐 Community

Passed automated security scans.