data-processor

What problem does it solve?

This skill streamlines the tedious and token-inefficient process of transforming large datasets, allowing for complex operations like filtering, mapping, and aggregation with concise, reusable code. It drastically reduces manual data manipulation time.

Core Features & Use Cases

• Efficient Data Manipulation: Filter, map, sort, aggregate (sum, average, min, max, count), and remove duplicates from arrays of objects.
• Token-Efficient Processing: Execute complex transformations with minimal token usage compared to natural language descriptions, saving cost and improving speed.
• Use Case: Clean and summarize a raw sales dataset by filtering for 'completed' orders, calculating the total revenue, and removing duplicate customer entries, all in one go.

Quick Start

Use the data-processor skill to filter the attached 'sales_data.json' for records where 'status' is 'completed' and then sort by 'amount' in descending order.