csv-pipeline

What problem does it solve?

Manual data wrangling of CSV, TSV, and JSON datasets is error-prone, tedious, and hampers timely insights. This Skill automates common preprocessing tasks to produce clean, analyzable data with minimal effort.

Core Features & Use Cases

• Filter rows, join datasets, and compute aggregates using standard CLI tools and Python.
• Convert between CSV, TSV, and JSON/JSON Lines formats for interoperability.
• Deduplicate, sort, validate, and generate summary reports to support ETL and data analysis workflows.
• Real-world use case: clean a sales log by keeping valid records, compute total revenue by category, and export a ready-to-analyze dataset.

Quick Start

Filter data.csv to keep rows where amount > 100 and export the result as filtered.csv.