Agent skill · data analytics · datadrivenconstruction

parquet-converter

Convert construction data to/from Parquet format. Optimize storage, enable fast queries, and integrate with data lakehouses.

Why this skill is useful

Provides domain-specific knowledge on converting construction data to Parquet format, including schema definitions and optimization techniques.

What it needs

Requires python3 installed locally. About 5k tokens when loaded. Last updated 2026-02-14. 265 stars on the source repository.

What this skill does

Parquet Converter Business Case Problem Statement Data storage and processing challenges: Large CSV files are slow to process Inefficient storage of typed data Column-oriented queries are slow Incompatible with modern data platforms Solution Convert construction data to Parquet format for efficient columnar storage, faster queries, and compatibility with data lakehouses. Technical Implementation Quick Start Common Use Cases 1. Excel to Parquet 2. Query Parquet 3. Get File Info 4. Merge Files Resources DDC Book: Chapter 4.4 - Modern Data Technologies Apache Parquet: https://parquet.apache.org/ PyArrow: https://arrow.apache.org/docs/python/ Website: https://datadrivenconstruction.io

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills datadrivenconstruction/parquet-converter

View the source on GitHub

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