Define requirements for an OpenClaw integration
Document a proposed integration's data needs, actions, credentials, and review boundaries.
Use DataHub metadata, ownership, schema, and lineage context to ground agent-assisted data discovery and governance workflows.
--- name: expose-data-catalog-context-to-ai-workflows-with-da-db25b59188f5 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/)--- name: expose-data-catalog-context-to-ai-workflows-with-da-db25b59188f5 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/)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.