discovering-gcp-data-assets
Finds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery datasets, tables, or views - BigLake catalog or tables - Spanner instances, databases or tables - etc. 2. You need to retrieve the schema, metadata, or governance policies for a GCP data asset. 3. You have a keyword or topic (e.g., "sales data") but lack the specific table or resource ID. 4. You are attempting to find data using `bq ls`, as this skill offers a superior approach. Don't use when: - Assets are outside Google Cloud
Install
With your agent
Install OMGSkills skill "googlecloudplatform/data-agent-kit-plugin:skills/discovering-gcp-data-assets" 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/GoogleCloudPlatform/data-agent-kit-plugin /tmp/data-agent-kit-plugin && ln -s /tmp/data-agent-kit-plugin/skills/discovering-gcp-data-assets ~/.claude/skills/discovering-gcp-data-assetsFrom README
Instructions Step 1: Prioritize Assets from the Conversation If the asset was created or mentioned earlier in the same conversation, then proceed with that asset instead of searching. Skip steps 2, 3, and 4. Step 2: Handle Public Datasets or Proceed to Search Dataplex Lookup Context provides the richest metadata for data assets. You MUST prioritize using it for all Google Cloud assets, even if you already know their IDs. Public Datasets (Direct Inspection): If the requested asset belongs to the bigquery-public-data project, Dataplex Lookup Context will fail. You MUST skip Steps 3 and 4 and inspect the table directly using the bq CLI or BigQuery MCP tools instead. All Other Assets (Proceed to Step 3): For all other BigQuery, Cloud Storage, Spanner, BigLake Iceberg or general GCP data assets (whether their IDs are known or missing), you MUST proceed to Step 3 to search the Dataplex catalog and obtain their full Entry Name.
More from this repo
accidental-data-loss-prevention
**STOP AND VERIFY**: Before running any command or tool that results in irreversible data loss, you MUST obtain...
bigquery-ai-ml
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics.
bigquery-bigframes
Generates Python code using BigQuery DataFrames (BigFrames).