Creates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in a `conductor/` directory. Scaffolds new projects from scratch, extracts context from existing codebases, validates artifact consistency before implementation, and synchronizes documents as the project evolves. Use when setting up a project, creating or updating product docs, managing a tech stack file, defining development workflows, tracking work units, onboarding to an existing codebase, or running project scaffolding.
dbt-transformation-patterns
dbt-transformation-patterns is an open-source workflow skill for Claude Code and compatible agents, published by wshobson. Its author describes it as: “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 analyti…”. The project has 39k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add wshobson/agents`.
What dbt-transformation-patterns does
Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
Installation
Add dbt-transformation-patterns to your agent with:
/plugin marketplace add wshobson/agentsAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for dbt-transformation-patterns is organised into these sections:
- 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
When to use it
Reach for dbt-transformation-patterns when you want workflow help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in wshobson/agents, an established project with 38,858 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does dbt-transformation-patterns do?
- 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.
- How do I install dbt-transformation-patterns?
- Run /plugin marketplace add wshobson/agents in your agent, then reload your skills. Review the source at https://github.com/wshobson/agents before installing.
- Is dbt-transformation-patterns free to use?
- Yes. dbt-transformation-patterns is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does dbt-transformation-patterns come from?
- dbt-transformation-patterns ships inside wshobson/agents, a repository that contains 54 catalogued skills in total. The repository's 38,858 GitHub stars apply to that whole collection, not to this skill on its own.
Related skills
More Workflow →Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations.
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.