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.
Install
With your agent
Install OMGSkills skill "datahub-project/datahub-cloud-ai-plugins:skills/datahub-quality" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/datahub-project/datahub-cloud-ai-plugins /tmp/datahub-cloud-ai-plugins && ln -s /tmp/datahub-cloud-ai-plugins/skills/datahub-quality ~/.claude/skills/datahub-qualityFrom README
DataHub Quality This plugin is MCP-only There is no DataHub CLI here. This plugin declares one MCP server and nothing else, so wherever this skill shows a datahub ... command, use the MCP tool with the same function instead: | CLI shown below | MCP tool | | --- | --- | | datahub search | search | | datahub get | getentities | | datahub lineage | getlineage, or getlineagepathsbetween for a path | | datahub graphql | no equivalent — the operation is unavailable, say so | | datahub check | getme | Tool names are prefixed by the server (mcpdatahubsearch). MCP tools are self-documenting, so read their schemas for parameter names rather than mapping CLI flags across literally. Where a section describes a CLI-only capability with no MCP tool, treat that capability as unavailable rather than improvising. 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.
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