dbt-model-generator

Dbt Model Generator - Auto-activating skill for Data Pipelines. Triggers on: dbt model generator, dbt model generator Part of the Data Pipelines skill category.

0.98x

Quality

Does it follow best practices?

Impact

97%

0.98x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/11-data-pipelines/dbt-model-generator/SKILL.md

Evaluation results

100%

Staging Layer for Raw HubSpot Contact Data

dbt staging model with source definition and tests

Criteria

Without context

With context

Source definition file

100%

source() function used

100%

Staging naming convention

100%

Column renaming

100%

Type casting

100%

Schema YAML with tests

100%

Primary key tested

100%

Model materialization

100%

Model documentation

100%

dbt_project.yml present

100%

Production-ready SQL

100%

Without context: $0.3338 · 1m 20s · 22 turns · 25 in / 4,293 out tokens

With context: $0.4579 · 1m 33s · 28 turns · 187 in / 5,134 out tokens

96%

-4%

Page View Event Aggregation for Product Analytics

Incremental materialization and ETL pipeline pattern

Criteria

Without context

With context

Incremental materialization

100%

unique_key defined

100%

is_incremental() macro used

100%

Timestamp-based incremental filter

100%

ref() for staging dependency

100%

Correct aggregation grain

100%

Source definition present

100%

Schema YAML with tests

100%

Unique/not_null on grain key

100%

50%

Production-ready SQL

100%

full-refresh documented

100%

Without context: $0.5150 · 2m 14s · 28 turns · 28 in / 8,023 out tokens

With context: $0.6782 · 2m 44s · 34 turns · 66 in / 9,778 out tokens

95%

-1%

E-Commerce Order Analytics Pipeline

Multi-layer dbt project with documentation and inter-model dependencies

Criteria

Without context

With context

Three staging models

100%

Staging naming convention

100%

Source definitions

100%

source() in staging

100%

Intermediate or mart model with ref()

100%

Final mart model

100%

Mart naming convention

100%

Schema YAML across layers

100%

Data quality tests present

100%

Primary key tested on mart

50%

37%

Production-ready SQL

100%

Layer structure documented

100%

Without context: $0.5204 · 2m 5s · 27 turns · 28 in / 8,426 out tokens

With context: $0.6707 · 2m 37s · 35 turns · 68 in / 9,952 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 0c08951

Evaluated: 18 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Staging Layer for Raw HubSpot Contact Data Page View Event Aggregation for Product Analytics E-Commerce Order Analytics Pipeline

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