data-processorlisted

# 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 ```javascript /** * 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]; const stats = { inputCount: data.length, operations: [], }; // Filter operation if (operations.filter) { const beforeCount = result.length;