Installs into .claude/skills of the current project.
Are you the author of Expose Data Catalog Context To Ai Workflows With Datahub?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/agentskillexchange-expose-data-catalog-context-to-ai-workflows-with-d)
---
name: "Expose data catalog context to AI workflows with DataHub"
slug: "expose-data-catalog-context-to-ai-workflows-with-datahub"
description: "Use DataHub metadata, ownership, schema, and lineage context to ground agent-assisted data discovery and governance workflows."
github_stars: 12050
verification: "security_reviewed"
source: "https://github.com/datahub-project/datahub"
author: "DataHub Project"
publisher_type: "open_source"
category: "Data Extraction & Transformation"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "datahub-project/datahub"
github_stars: 12050
---
# Expose data catalog context to AI workflows with DataHub
Use DataHub metadata, ownership, schema, and lineage context to ground agent-assisted data discovery and governance workflows.
## Prerequisites
DataHub, DataHub API or CLI, catalog metadata access
## Installation
Use the upstream install or setup path that matches your environment:
- git clone https://github.com/datahub-project/analytics-agent.git
- brew install datahub-project/tap/datahub
- pip install acryl-datahub
- **Note:** For pip, you can also use uv or other Python package managers.
Requirements and caveats from upstream:
- <a href="https://hub.docker.com/r/linkedin/datahub-gms">
- <img src="https://img.shields.io/docker/pulls/linkedin/datahub-gms.svg" alt="Docker Pulls" />
- datahub docker quickstart
Basic usage or getting-started notes:
- <a href="https://docs.datahub.com/docs/quickstart"><b>Quick Start</b></a> •
- **Quick start:**
- See the [Quick Start](#-quick-start-60-seconds) section below for full instructions. The PyPI package is [acryl-datahub](https://pypi.org/project/acryl-datahub/); the Homebrew tap is [datahub-project/homebrew-tap](htt...
- Source: https://github.com/datahub-project/datahub
- Extracted from upstream docs: https://raw.githubusercontent.com/datahub-project/datahub/HEAD/README.md
## Documentation
- https://github.com/datahub-project/datahub
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/expose-data-catalog-context-to-ai-workflows-with-datahub/)
