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dbt-docs

Document dbt models and columns in schema.yml with business context — model descriptions, column definitions, and doc blocks. Use when adding or improving documentation for discoverability. Powered by altimate-dbt.

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AltimateAI/altimate-code
Letzte Quellaktivität
29. März 2026 um 01:00
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Englisch
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
dbt-docs
description
Document dbt models and columns in schema.yml with business context — model descriptions, column definitions, and doc blocks. Use when adding or improving documentation for discoverability. Powered by altimate-dbt.
# dbt Documentation ## Requirements **Agent:** builder or migrator (requires file write access) **Tools used:** bash (runs `altimate-dbt` commands), read, glob, write, edit ## When to Use This Skill **Use when the user wants to:** - Add or improve model descriptions in schema.yml - Write column-level descriptions with business context - Create shared doc blocks for reusable definitions - Improve dbt docs site content **Do NOT use for:** - Adding tests → use `dbt-test` - Creating new models → use `dbt-develop` - Generating sources.yml from scratch → use `dbt-develop` ## Workflow ### 1. Understand the Model ```bash altimate-dbt columns --model <name> # what columns exist altimate-dbt parents --model <name> # what feeds this model altimate-dbt children --model <name> # who consumes it altimate-dbt compile --model <name> # see the rendered SQL ``` Read the model SQL to understand the transformations: ```bash glob models/**/<name>.sql read <model_file> ``` ### 2. Read Existing Documentation Check what's already documented: ```bash glob models/**/*schema*.yml models/**/*_models.yml read <yaml_file> ``` ### 3. Write Documentation See [references/documentation-standards.md](references/documentation-standards.md) for quality guidelines. #### Model-Level Description Cover: **What** (business entity), **Why** (use case), **How** (key transforms), **When** (materialization). ```yaml - name: fct_daily_revenue description: > Daily revenue aggregation by product category. Joins staged orders with product dimensions and calculates gross/net revenue. Materialized as incremental with unique key on (date_day, category_id). Used by the finance team for daily P&L reporting. ``` #### Column-Level Description Describe business meaning, derivation formula, and caveats: ```yaml columns: - name: net_revenue description: > Total revenue minus refunds and discounts for the day. Formula: gross_revenue - refund_amount - discount_amount. Can be negative if refunds exceed sales. ``` ### 4. Validate ```bash altimate-dbt compile --model <name> # ensure YAML is valid ``` ## Common Mistakes | Mistake | Fix | |---------|-----| | Restating the column name as the description | `"order_id: The order ID"` → describe business meaning | | Empty descriptions | Every column should have a description. If unsure, describe the source. | | Not reading the SQL before documenting | Read the model to understand derivation logic | | Duplicating descriptions across models | Use doc blocks for shared definitions | | Writing implementation details instead of business context | Describe what it means to the business, not how it's computed | ## Reference Guides | Guide | Use When | |-------|----------| | [references/altimate-dbt-commands.md](references/altimate-dbt-commands.md) | Need the full CLI reference | | [references/documentation-standards.md](references/documentation-standards.md) | Writing high-quality descriptions |
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