PyArrow Format Conversion Starter

SkillAI & models

Use this skill to convert a small tabular file into Parquet with PyArrow and inspect a deterministic round-trip summary.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the PyArrow Format Conversion Starter skill

About this capability

A framework for discovering, compiling, and validating reusable skills for scientific agents.

What this skill tells your AI

The instructions your AI receives, as published by ma-compbio-lab/skillfoundry in skills/data-acquisition-and-dataset-handling/pyarrow-format-conversion-starter/SKILL.md and read by ahel’s review.

Use this skill to convert a small tabular file into Parquet with PyArrow and inspect a deterministic round-trip summary.

What This Skill Does

  • reads a tiny tabular input with typed columns
  • builds an Arrow table in memory
  • writes a local Parquet file
  • reads the Parquet file back and verifies the round trip

When To Use It

  • when you need a starter for format-conversion
  • when you want a small Arrow-to-Parquet example without a larger data stack
  • when you need a deterministic schema summary for tests or demos

Run

./slurm/envs/data-tools/bin/python skills/data-acquisition-and-dataset-handling/pyarrow-format-conversion-starter/scripts/run_pyarrow_format_conversion.py --input skills/data-acquisition-and-dataset-handling/pyarrow-format-conversion-starter/examples/toy_matrix.tsv --parquet-out scratch/pyarrow/toy_table.parquet --summary-out scratch/pyarrow/toy_table_summary.json

Notes

  • The example uses tab-separated input to keep the fixture readable in the repository.
  • The summary records typed schema information so downstream checks do not need to parse Parquet directly.

Signals

GitHub stars
39
Forks
5
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
pyarrow-format-conversion-starter
Source
github.com/ma-compbio-lab/skillfoundry