Data Catalog Entry
Documents a new table or dataset with real lineage, ownership, and quality metrics, so analysts stop asking the same questions about what it means.
Overview
Data Catalog Entry documents a table the moment it's created and needs to be discoverable, when analysts keep asking the same questions about what it means, or when a compliance requirement mandates documentation of sensitive data.
What it covers
- Extracts technical metadata (schema, keys, row count) directly from
INFORMATION_SCHEMAor the source system. - Collects business context from the data owner: purpose, owning team, criticality, and known use cases.
- Writes a plain-language description and business rules for every column.
- Assesses completeness, freshness, and duplicate rate, and documents known issues.
- Records upstream sources and downstream consumers, then adds access level, sensitivity, and compliance tags before publishing.
Part of Data Analytics Skills
This is one of 31 skills in the Data Analytics Skills library, in the Documentation & Knowledge group.
Installation
- Clone the repo once:
git clone https://github.com/nimrodfisher/data-analytics-skills.git - Copy just this skill:
cp -r data-analytics-skills/02-documentation-knowledge/data-catalog-entry ~/.claude/skills/(or~/.agents/skills/for Codex) - Ask your agent something like "write a catalog entry for this new table" and it activates on its own.
See the Data Analytics Skills entry for the full library.
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