effective-dbt-sql
effective-dbt-sql is a Data warehousing & modelling skill for AI agents, published by lightdash in the lightdash repository on GitHub. Skillspace rates effective-dbt-sql D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use when writing or modifying dbt model SQL — deciding whether to add a subquery or reuse an existing dimension/metric, structuring a query, joining models, or refactoring a metric's SQL. Encodes SQL semantic-correctness rules: reuse existing fields, prefer CTEs over correlated subqueries, and make joins and column lists explicit.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 6,135
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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