iowarp/data-onboarding

v1.0.0BSD-3-Clause

General habits for unfamiliar datasets: read the self-description, inventory and audit tables with bundled scripts (sentinels, empty and near-duplicate columns, flags against data, join keys, declared against actual counts), keep an experiment card in the workspace, audit in a child agent, and state evidence plainly.

GitHub

skills

onboard-dataset

Inspect unfamiliar data for the user's question, adapt checks and code to its actual files and environment, and preserve evidence and unresolved meaning, writing derived files to the workspace so the source stays as delivered. Scripts and cards are optional aids.

Read SKILL.md at the source

Pinned to revision 458d7da9d653, so it is the text this page describes rather than whatever the author pushed since.

Files

skills/onboard-dataset/SKILL.md
skills/onboard-dataset/scripts/_tables.py
skills/onboard-dataset/scripts/audit_columns.py
skills/onboard-dataset/scripts/card.py
skills/onboard-dataset/scripts/flag_check.py
skills/onboard-dataset/scripts/inventory.py
skills/onboard-dataset/scripts/join_keys.py

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