Agent skill
_workflow-data-pipeline
Lifecycle for building data pipelines, analytics engineering, and data quality checks. Follow the phases sequentially.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/workflow-data-pipeline
SKILL.md
Workflow Data Pipeline
Lifecycle for building data pipelines, analytics engineering, and data quality checks.
This is a Workflow skill. When executing this lifecycle, you should progress through the phases sequentially. For each phase, invoke or refer to the specific sub-skills that are contextually relevant to the project's language or framework.
Lifecycle Phases
1. Storage & Ingestion
- postgresql
- api-design-principles
- async-python-patterns
2. Analytics Engineering & Transformation
- dbt-transformation-patterns
- pandas-specialist
- numpy-specialist
3. Quality & Contracts
- data-quality-frameworks
- test-driven-development
4. Visualization & Storytelling
- data-storytelling
- grafana-dashboards
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