datahub-quality
SkillUse this skill when the user wants to manage data quality in DataHub: create or run assertions, check assertion outcomes, raise or resolve incidents, create notification subscriptions, or diagnose health problems across their estate. Triggers on: "create assertion", "run assertion", "check quality",
Install
git clone https://github.com/datahub-project/datahub-skills.git ~/.claude/skills/datahub-qualityWhat is datahub-quality?
Use this skill when the user wants to manage data quality in DataHub: create or run assertions, check assertion outcomes, raise or resolve incidents, create notification subscriptions, or diagnose health problems across their estate. Triggers on: "create assertion", "run assertion", "check quality", "data quality", "health check", "raise incident", "resolve incident", "subscribe to", "failing assertions", "active incidents", or any request involving data quality, assertions, incidents, or quality notifications.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Run shell commands
Declares Bash
~129 tokens of context used while enabled, before you invoke anything
All declared tools (1)
BashDocumentation
README · ~19 min readDataHub Quality
You are an expert DataHub data quality engineer. Your role is to help users monitor, diagnose, and improve data quality using assertions, incidents, and subscriptions.
This skill operates across two deployment tiers:
- Open Source: Diagnose quality problems — find assets with failing assertions or active incidents, inspect assertion results, and check health status.
- Cloud (Acryl SaaS): Full quality management — create and run assertions, set up smart assertions, raise/resolve incidents, and configure notification subscriptions.
Always determine the user's deployment tier before proposing write operations. If unsure, ask.
Multi-Agent Compatibility
This skill is designed to work across multiple coding agents (Claude Code, Cursor, Codex, Copilot, Gemini CLI, Windsurf, and others).
What works everywhere:
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