dbt-transformation-patterns
Build Reliable dbt Transformation Projects
dbt projects can become inconsistent as models, tests, and incremental logic grow. This skill provides practical patterns for organized, documented, and efficient transformations.
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Review the Skillstore skill "dbt-transformation-patterns" from https://skillstore.io/skills/sickn33-dbt-transformation-patterns.md and its manifest at https://skillstore.io/api/skills/sickn33-dbt-transformation-patterns/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
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Test it
Using "dbt-transformation-patterns". Plan model layers for Stripe payments and Shopify orders.
Expected outcome:
- Sources: Define Stripe customers and payments, plus Shopify orders, with freshness checks.
- Staging: Standardize identifiers, amounts, statuses, and timestamps in source-specific models.
- Intermediate: Aggregate successful payments and order activity by customer.
- Marts: Publish a customer dimension and an order fact table with tested keys.
Using "dbt-transformation-patterns". Recommend tests for a customer dimension.
Expected outcome:
- Test the surrogate key and natural customer identifier for uniqueness and null values.
- Require email when the business process guarantees it.
- Restrict customer tier to approved values.
- Validate nonnegative lifetime value and relationships from dependent fact models.
Using "dbt-transformation-patterns". Select an incremental strategy for late-arriving order updates.
Expected outcome:
Use a merge strategy with a stable order key and an updated timestamp watermark. Include a lookback window and schedule periodic full-refresh validation.
Security Audit
SafeAll 14 static findings are false positives. Twelve matches are ordinary SQL or YAML identifiers, while two matches are Markdown path formatting, not shell execution. No prompt injection, exfiltration intent, or unsafe command behavior was found.
Risk Factors
โ๏ธ External commands (2)
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APA citation
sickn33. (2026). dbt-transformation-patterns security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-dbt-transformation-patterns/audits/5BibTeX citation
@techreport{sickn33-sickn33-dbt-transformation-patterns-2026,
author = {sickn33},
title = {dbt-transformation-patterns security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-dbt-transformation-patterns/audits/5},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "dbt-transformation-patterns security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/sickn33-dbt-transformation-patterns/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-dbt-transformation-patterns:audit:5"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
sickn33-dbt-transformation-patterns
2026-08-21
wshobson-dbt-transformation-patterns
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Structure a New Analytics Project
Create clear model layers, naming rules, source definitions, and materialization defaults for a new dbt repository.
Improve Data Quality Coverage
Add model documentation, source freshness checks, key constraints, relationship tests, and accepted-value tests.
Scale Large Warehouse Models
Select incremental strategies, define reliable keys, handle late data, and limit development scans.
Try These Prompts
Design a dbt project structure for [business domain] using sources, staging, intermediate, and marts layers. Explain naming and materialization choices.
Review these dbt model and source definitions: [details]. Propose descriptions, freshness rules, and suitable uniqueness, null, relationship, and accepted-value tests.
Recommend an incremental design for [model] on [warehouse]. Consider volume, unique keys, late records, updates, partitions, schema changes, and full refreshes.
Audit this dbt project structure and model flow: [details]. Identify layering, duplication, testing, freshness, documentation, performance, and deployment risks. Prioritize improvements.
Best Practices
- Adapt every example to the warehouse adapter and validate compiled SQL before deployment.
- Define model grain, ownership, keys, tests, and documentation together.
- Test incremental models against full-refresh results and late-arriving records.
Avoid
- Do not copy sample schemas or business rules without checking source semantics.
- Do not use incremental materialization without a stable key and recovery plan.
- Do not bypass staging by embedding repeated source cleanup in marts.
Frequently Asked Questions
Which dbt layers does this skill cover?
Can it choose a materialization strategy?
Does it run dbt commands?
Does it support every data warehouse?
Does it require dbt-utils?
Can it review an existing dbt project?
Developer Details
Author
sickn33License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Repository
https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/dbt-transformation-patternsRef
f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526
Maintenance freshness
7/26/2026
Usage
9 downloads ยท 100 views
File structure