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dbt-transformation-patterns

8.7

by wshobson

165Favorites
402Upvotes
0Downvotes

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

dbt

8.7

Rating

0

Installs

Data & Analytics

Category

Quick Review

Excellent dbt skill with comprehensive coverage of analytics engineering patterns. The Description clearly conveys when to use this skill (building data transformations, creating models, implementing best practices). Task knowledge is outstanding with detailed code examples covering all major dbt patterns: model layers, staging/intermediate/marts architecture, incremental strategies, testing, documentation, and macros. Structure is logical and well-organized with clear sections, though slightly dense in a single file. Novelty is strong - dbt's Jinja templating, incremental logic, and project organization would require significant tokens for a CLI agent to implement correctly from scratch. Minor improvement areas: could benefit from splitting some patterns into separate reference files for very large projects, and adding more complex macro examples. Overall, this is a production-ready skill that meaningfully reduces complexity for analytics engineering tasks.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

26,432
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268
15
Last commit 3 days ago

Publisher

wshobson

wshobson

Skill Author

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