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