Plans new DataHub connectors by classifying the source system, researching it using a dedicated agent or inline research, and generating a _PLANNING.md blueprint with entity mapping and architecture decisions. Use when building a new connector, researching a source system for DataHub, or designing c

Reviews DataHub connector implementations against 22 golden standards for compliance, code quality, silent failures, test coverage, type design, and merge readiness. Use when reviewing connector code, checking a PR, auditing a connector implementation, or verifying connector standards compliance.

Use this skill when the user wants to add or update metadata in DataHub: descriptions, tags, glossary terms, ownership, deprecation, domains, data products, structured properties, documents, or field-level metadata. Triggers on: "add tag to X", "update description for X", "set owner of X", "add glos

Use this skill when the user wants to explore lineage, trace data dependencies, perform impact analysis, find root causes, map data pipelines, or understand how data flows between systems. Triggers on: "what feeds into X", "what depends on X", "show lineage for X", "impact analysis", "trace the pipe

Configure a DataHub instance to load and display a Micro Frontend (MFE) app. Use when the user wants to register an MFE with DataHub, add an MFE to the nav sidebar, set up MFE config for local dev or production/k8s, or troubleshoot MFE loading issues.

Scaffold a new DataHub Micro Frontend (MFE) app with all boilerplate files. Use when the user wants to create a new micro frontend, MFE, remote app, or Module Federation app for DataHub.

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",

Use this skill when the user wants to search the DataHub catalog, discover entities, answer ad-hoc questions about their data, find datasets, or browse by platform or domain. Triggers on: "search DataHub", "find datasets", "who owns X", "what tables contain PII", "what columns does X have", or any r

Use this skill when the user needs to set up a DataHub connection, install the DataHub CLI, configure authentication, verify connectivity, set default scopes, or create agent configuration profiles. Triggers on: "set up DataHub", "connect to DataHub", "install datahub CLI", "configure DataHub", "set

Loads all 22 DataHub connector golden standards into context. Use before starting connector development or review work to ensure the full set of standards is available for reference. Triggers on: "load standards", "show standards", "what are the connector standards", "load golden standards", "review

This skill provides routing guidance for all DataHub interaction skills. It is injected at session start and helps map user intent to the correct skill. Do not invoke this skill directly — it is loaded automatically.

Use this agent when you need to verify whether a PR author has genuinely addressed previous review comments before re-review. This agent fetches review comments, classifies them by type (code change request vs. discussion vs. question), and checks whether each was substantively addressed — not just

Research source systems for DataHub connector development. Gathers documentation, finds similar connectors, identifies entity mappings, and assesses implementation complexity. Returns structured findings for planning phase. <example> Context: User wants to build a new DataHub connector for a source

Run provided validation scripts, analyze their output, and report results for DataHub connector verification steps. Handles extraction verification, capability checks, code quality gates, source connectivity, ingestion runs, and CLI verification. <example> Context: Workflow needs to verify that extr

Execute DataHub search, browse, and lineage operations, retrieve entity metadata, and return structured results. Used by the datahub-search and datahub-lineage skills to delegate catalog queries. <example> Context: User wants to find all Snowflake datasets with PII tags. user: "Search DataHub for Sn

Add or update metadata in DataHub - descriptions, tags, glossary terms, ownership

Explore lineage, trace data dependencies, and perform impact analysis

Manage data quality — assertions, incidents, and subscriptions

Search the DataHub catalog and answer questions about your data

Set up DataHub connection, install CLI, configure authentication and default scopes

Plan a new DataHub connector - research the source system, map entities, design architecture, and create a planning document

Review DataHub connector code for standards compliance and quality

Read and confirm all golden connector standard files have been loaded.

Run a comprehensive multi-agent review of DataHub connector code using specialized agents in parallel