📋 Data Quality

2installs

Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.

QUICK INSTALL
npx playbooks add skill vivekgana/databricks-platform-marketplace --skill data-quality

About Data Quality

Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.

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

Get started Help me use the Data Quality skill effectively.

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.

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