Agent skill

Dbt Transformation Patterns

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies.

MITAuto-check passedData & Analytics

Install Dbt Transformation Patterns

skills CLI

$ npx skills add wshobson/agents --skill dbt-transformation-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install wshobson/agents dbt-transformation-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/data-engineering/skills/dbt-transformation-patterns .claude/skills/dbt-transformation-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "dbt-transformation-patterns" agent skill from https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/dbt-transformation-patterns into .claude/skills/dbt-transformation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-transformation-patterns", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/dbt-transformation-patterns

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add wshobson/agents --skill dbt-transformation-patterns -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install wshobson/agents dbt-transformation-patterns --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/data-engineering/skills/dbt-transformation-patterns .agents/skills/dbt-transformation-patterns && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "dbt-transformation-patterns" agent skill from https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/dbt-transformation-patterns into .agents/skills/dbt-transformation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-transformation-patterns", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wshobson/agents --skill dbt-transformation-patterns -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install wshobson/agents dbt-transformation-patterns --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/data-engineering/skills/dbt-transformation-patterns .cursor/skills/dbt-transformation-patterns && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "dbt-transformation-patterns" agent skill from https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/dbt-transformation-patterns into .cursor/skills/dbt-transformation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-transformation-patterns", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/wshobson/agents.git --path plugins/data-engineering/skills/dbt-transformation-patterns

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add wshobson/agents --skill dbt-transformation-patterns -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install wshobson/agents dbt-transformation-patterns --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/data-engineering/skills/dbt-transformation-patterns .gemini/skills/dbt-transformation-patterns && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "dbt-transformation-patterns" agent skill from https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/dbt-transformation-patterns into .gemini/skills/dbt-transformation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-transformation-patterns", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install wshobson/agents dbt-transformation-patterns

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add wshobson/agents --skill dbt-transformation-patterns -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/data-engineering/skills/dbt-transformation-patterns .github/skills/dbt-transformation-patterns && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "dbt-transformation-patterns" agent skill from https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/dbt-transformation-patterns into .github/skills/dbt-transformation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-transformation-patterns", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wshobson/agents --skill dbt-transformation-patterns -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install wshobson/agents dbt-transformation-patterns --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/data-engineering/skills/dbt-transformation-patterns .opencode/skills/dbt-transformation-patterns && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "dbt-transformation-patterns" agent skill from https://github.com/wshobson/agents/tree/main/plugins/data-engineering/skills/dbt-transformation-patterns into .opencode/skills/dbt-transformation-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dbt-transformation-patterns", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: dbt-transformation-patterns
GitHub stars: 40k
Used in: 9 other repos
Token cost: ~781 tokens
SKILL.md length: 173 words
Files: 2 (incl. references)
Skills in repo: 142
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies.

Works in 2 steps: Model Layers (Medallion Architecture) → Naming Conventions
Building data transformations
SKILL.md covers When to Use This Skill, Core Concepts, Quick Start and Detailed patterns and worked…, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dbt Transformation Patterns is an agent skill from wshobson/agents. 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.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/details.md`).

It sits in Data & Analytics, covering Data pipelines and ETL and Data cleaning. It works with dbt. The repository describes itself as: Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi. The licence is MIT.

When your agent uses it

Building data transformations
Creating data models
Implementing analytics engineering best practices

Example prompts

“/dbt-transformation-patterns”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

Model Layers (Medallion Architecture)
Naming Conventions

What it can do on your machine

Read from SKILL.md and the folder at commit 46891e7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dbt Transformation Patterns loads about 781 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 173 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~69
When it runs · the whole SKILL.md, loaded when a task matches: ~781
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wshobson/agents at commit 46891e7, republished under its MIT licence (© wshobson). 173 words, ~781 tokens.

Download SKILL.mdSave it as .claude/skills/dbt-transformation-patterns/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: dbt-transformation-patterns
description: 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 Transformation Patterns

Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.

When to Use This Skill

Building data transformation pipelines with dbt
Organizing models into staging, intermediate, and marts layers
Implementing data quality tests
Creating incremental models for large datasets
Documenting data models and lineage
Setting up dbt project structure

Core Concepts

1. Model Layers (Medallion Architecture)

sources/          Raw data definitions
    ↓
staging/          1:1 with source, light cleaning
    ↓
intermediate/     Business logic, joins, aggregations
    ↓
marts/            Final analytics tables

2. Naming Conventions

Layer	Prefix	Example
Staging	`stg_`	`stg_stripe__payments`
Intermediate	`int_`	`int_payments_pivoted`
Marts	`dim_`, `fct_`	`dim_customers`, `fct_orders`

Quick Start

yaml

# dbt_project.yml
name: "analytics"
version: "1.0.0"
profile: "analytics"

model-paths: ["models"]
analysis-paths: ["analyses"]
test-paths: ["tests"]
seed-paths: ["seeds"]
macro-paths: ["macros"]

vars:
  start_date: "2020-01-01"

models:
  analytics:
    staging:
      +materialized: view
      +schema: staging
    intermediate:
      +materialized: ephemeral
    marts:
      +materialized: table
      +schema: analytics

# Project structure
models/
├── staging/
│   ├── stripe/
│   │   ├── _stripe__sources.yml
│   │   ├── _stripe__models.yml
│   │   ├── stg_stripe__customers.sql
│   │   └── stg_stripe__payments.sql
│   └── shopify/
│       ├── _shopify__sources.yml
│       └── stg_shopify__orders.sql
├── intermediate/
│   └── finance/
│       └── int_payments_pivoted.sql
└── marts/
    ├── core/
    │   ├── _core__models.yml
    │   ├── dim_customers.sql
    │   └── fct_orders.sql
    └── finance/
        └── fct_revenue.sql

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

Do's

Use staging layer - Clean data once, use everywhere
Test aggressively - Not null, unique, relationships
Document everything - Column descriptions, model descriptions
Use incremental - For tables > 1M rows
Version control - dbt project in Git

Don'ts

Don't skip staging - Raw → mart is tech debt
Don't hardcode dates - Use {{ var('start_date') }}
Don't repeat logic - Extract to macros
Don't test in prod - Use dev target
Don't ignore freshness - Monitor source data

Files

SKILL.md and 1 other file (references) in plugins/data-engineering/skills/dbt-transformation-patterns of wshobson/agents.

SKILL.md
references/details.md

Open the folder on GitHubat commit 46891e7

Used in 9 other repositories

We found 27 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 9 other GitHub owners. This page covers the copy in wshobson/agents, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Dbt Transformation Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dbt Transformation Patterns compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dbt Transformation Patterns this skillwshobson/agents	40k	9 repos	~781	Automated safety check: Pass	MIT	4 days ago
Authoring Data Quality ChecksPostHog/posthog	40k	—	~2.8k	Automated safety check: Pass	Custom licence	today
Data Quality Checksmohitagw15856/pm-claude-skills	1.4k	—	~919	Automated safety check: Pass	MIT	yesterday
Dbt Model Specmohitagw15856/pm-claude-skills	1.4k	—	~939	Automated safety check: Pass	MIT	yesterday
Dbt TestingKilo-Org/kilo-marketplace	190	—	~4k	Automated safety check: Pass	Apache-2.0	10 days ago
Data Quality Frameworkrevfactory/harness-100	1.3k	—	~1.1k	Automated safety check: Pass	Apache-2.0	6 mo ago

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Data & AnalyticsAuto-check passed
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Questions about Dbt Transformation Patterns

What does Dbt Transformation Patterns do?

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Dbt Transformation Patterns is an agent skill from wshobson/agents. Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies.

When should I use Dbt Transformation Patterns?

Dbt Transformation Patterns fits situations like: building data transformations; creating data models; implementing analytics engineering best practices.

How do I install Dbt Transformation Patterns in Claude Code?

Run `npx skills add wshobson/agents --skill dbt-transformation-patterns -a claude-code`. Or copy the skill folder (plugins/data-engineering/skills/dbt-transformation-patterns in wshobson/agents) into .claude/skills/dbt-transformation-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Dbt Transformation Patterns in Codex?

Run `npx skills add wshobson/agents --skill dbt-transformation-patterns -a codex`. Or copy the skill folder (plugins/data-engineering/skills/dbt-transformation-patterns in wshobson/agents) into .agents/skills/dbt-transformation-patterns in your project. Codex loads it when a task matches its description.

Can I use Dbt Transformation Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wshobson/agents --skill dbt-transformation-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dbt-transformation-patterns, .gemini/skills/dbt-transformation-patterns, .github/skills/dbt-transformation-patterns and .opencode/skills/dbt-transformation-patterns in your project.

What does Dbt Transformation Patterns need to run?

SKILL.md names no scripts, command-line tools or credentials: Dbt Transformation Patterns is instructions for the agent only.

Does Dbt Transformation Patterns access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dbt Transformation Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dbt Transformation Patterns use?

Dbt Transformation Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dbt Transformation Patterns use?

About 781 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.

What are the alternatives to Dbt Transformation Patterns?

Skills that share tags, products or a category with Dbt Transformation Patterns: Authoring Data Quality Checks (PostHog/posthog, 40k stars), Data Quality Checks (mohitagw15856/pm-claude-skills, 1.4k stars), Dbt Model Spec (mohitagw15856/pm-claude-skills, 1.4k stars) and Dbt Testing (Kilo-Org/kilo-marketplace, 190 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dbt Transformation Patterns?

wshobson (a GitHub user) maintains it in wshobson/agents, which has 40,305 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 5, 2026.

Source: wshobson/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Dbt Transformation Patterns

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

dbt Transformation Patterns

When to Use This Skill

Core Concepts

1. Model Layers (Medallion Architecture)

2. Naming Conventions

Quick Start

Detailed patterns and worked examples

Best Practices

Do's

Don'ts

Files

Used in 9 other repositories

Compare with similar skills

Similar skills

More from wshobson/agents

Related

Questions about Dbt Transformation Patterns