📋 Data Quality
Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.
npx playbooks add skill vivekgana/databricks-platform-marketplace --skill data-quality
About Data Quality
The Data Quality tool enables developers to ensure data reliability and trust by utilizing comprehensive data quality patterns, including Great Expectations, DLT expectations, and custom validators. This tool connects to data workflows, allowing developers to verify the accuracy and consistency of their data. Developers would reach for this tool when they need to validate and ensure the quality of their data, particularly in data-intensive applications or when working with sensitive information.
At 18 words, this compact prompt gives your agent specialized developer workflow expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
Use Cases
- Streamlining git workflows and commit conventions
- Setting up CI/CD pipelines and deployment scripts
- Managing monorepos and multi-package projects
- Automating release notes and changelogs
Example Prompts
System Prompt (18 words)
Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.
Frequently Asked Questions
What is Data Quality?
Data Quality is a free developer workflow skill for AI coding agents. Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
How do I use Data Quality with Claude Code?
Run npx playbooks add skill vivekgana/databricks-platform-marketplace --skill data-quality in your terminal to install Data Quality into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Data Quality?
Data Quality is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Data Quality free to use?
Yes, Data Quality is completely free and open source. The full source is available on GitHub at https://github.com/vivekgana/databricks-platform-marketplace/tree/main/plugins/databricks-engineering/skills/data-quality. You only need a subscription to the AI agent you use it with.
