Data Documentation Generator

Help me write documentation for a dataset, database table, or data model.

**What I'm documenting:**
[e.g. a database table, a CSV dataset, a data model, a pipeline output, a set of metrics]

**The data:**
[Paste the schema, column names and types, or describe the structure]

**Where this data comes from:**
[How it's generated, collected, or transformed — upstream sources and processes]

**Who uses this data and for what:**
[Internal teams, use cases, downstream systems that depend on it]

**Known quirks or gotchas:**
[Anything surprising, non-obvious, or that has caused confusion in the past]

**Documentation format:**
[e.g. Markdown for a GitHub repo, Notion page, dbt schema.yml, data catalog like Atlan or Alation]

Generate complete data documentation including:
1. **Overview** — what this dataset is, what it represents, and why it exists
2. **Column/field dictionary** — for every field: name, data type, description, example values, valid range or enum values, and whether nulls are expected
3. **Lineage** — where the data comes from and how it flows to this table
4. **Known issues and limitations** — data quality issues, gaps, or behaviors to be aware of
5. **Usage guide** — how to query or use this data correctly, common filters, join keys
6. **Update frequency and freshness** — when the data refreshes and how to check its currency
7. **Owner and contact** — who to ask when something looks wrong