Data Processor Skill

Data Processor Skill

A general-purpose data processing skill for transforming arrays of objects. This skill demonstrates the token efficiency benefits of code execution - instead of describing transformations in natural language, write code once and reuse it.

What This Skill Does

Processes arrays of data with common transformations:

• Filter records based on conditions
• Map fields to new values
• Aggregate data (sum, average, count, etc.)
• Sort and group data
• Remove duplicates
• Merge datasets

When to Use This Skill

Use this skill when you need to:

• Transform large datasets (hundreds or thousands of records)
• Apply consistent business logic to data
• Aggregate or summarize data
• Clean or normalize data
• Combine data from multiple sources

Token Efficiency: Processing 1000 records in code uses ~500 tokens. Describing the same operations in natural language would use ~50,000 tokens.

Implementation

/**
 * Data Processor - General purpose data transformation
 * @param {Array} data - Array of objects to process
 * @param {Object} operations - Operations to apply
 * @returns {Object} Processed data and statistics
 */
async function processData(data, operations = {}) {
  if (!Array.isArray(data)) {
    throw new Error('Data must be an array');
  }
  
  let result = [...data];