| (1) Adding or modifying tests in schema.yml files (2) Task mentions "test", "validate", "data quality", "unique", "not_null", or "accepted_values" (3) Ensuring data integrity - primary keys, foreign keys, relationships (4) Debugging test failures or understanding why dbt test failed Matches existing project test patterns and YAML style before adding new tests.
npx skills add https://github.com/AltimateAI/data-engineering-skills --skill testing-dbt-models
Every model deserves at least one test. Primary keys need unique + not_null.
CRITICAL: Match the project's existing testing style before adding new tests.
# Find all schema.yml files with tests
find . -name "schema.yml" -exec grep -l "tests:" {} \;
# Read existing tests to learn patterns
cat models/staging/schema.yml | head -100
cat models/marts/schema.yml | head -100
# Check for custom tests or dbt packages
ls tests/
cat packages.yml 2>/dev/null
Extract from existing tests:
cat models/<path>/<model_name>.sql
Identify: primary keys, foreign keys, categorical columns, date columns, business-critical fields.
cat models/<path>/schema.yml | grep -A 50 "<model_name>"
# or
find . -name "schema.yml" -exec grep -l "<model_name>" {} \;
| Column Type | Recommended Tests |
|-------------|-------------------|
| Primary key | unique, not_null |
| Foreign key | not_null, relationships |
| Categorical | accepted_values (ask user for valid values) |
| Required field | not_null |
| Date/timestamp | not_null |
| Boolean | accepted_values: [true, false] |
Match the existing style from step 1. Example format (adapt to project):
version: 2
models:
- name: model_name
description: "Brief description of what this model contains"
columns:
- name: primary_key_column
description: "Unique identifier for this record"
tests:
- unique
- not_null
- name: foreign_key_column
description: "Reference to related_model"
tests:
- not_null
- relationships:
to: ref('related_model')
field: related_key_column
- name: status
description: "Current status of the record"
tests:
- not_null
- accepted_values:
values: ['pending', 'active', 'completed', 'cancelled']
- name: created_at
description: "Timestamp when record was created"
tests:
- not_null
# Test specific model
dbt test --select <model_name>
# Test with upstream
dbt test --select +<model_name>
Common failures and fixes:
| Failure | Likely Cause | Fix |
|---------|--------------|-----|
| unique fails | Duplicate records | Add deduplication in model |
| not_null fails | NULL values in source | Add COALESCE or filter |
| relationships fails | Orphan records | Add WHERE clause or fix upstream |
| accepted_values fails | New/unexpected values | Update accepted values list |
tests:
- unique
- not_null
- accepted_values:
values: ['a', 'b', 'c']
- relationships:
to: ref('other_model')
field: id
tests:
- dbt_utils.expression_is_true:
expression: "amount >= 0"
- dbt_utils.recency:
datepart: day
field: created_at
interval: 1
Create tests/<test_name>.sql:
-- tests/assert_positive_revenue.sql
select *
from {{ ref('orders') }}
where revenue < 0
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Take altimateai/testing-dbt-models from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.