data-autocleaning
Automated data quality and transformation capabilities for Dataform/dbt/BigQuery pipelines. Processes data sourced from BigQuery or Cloud Storage (GCS), applying best practices for data ingestion, movement, schema mapping, and comprehensive data cleaning.
Install
With your agent
Install OMGSkills skill "googlecloudplatform/data-agent-kit-plugin:skills/data-autocleaning" 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/data-autocleaning ~/.claude/skills/data-autocleaningFrom README
Data Autocleaning Skill Automated data profiling, quality assessment, and transformation for data sourced from BigQuery or Google Cloud Storage (GCS). When to Use [!IMPORTANT] You MUST use this skill for ANY task where the source is BigQuery or GCS — including seemingly simple operations like "move data" or "copy table". Apply to all operations on new and existing sources: copying, moving, appending, ingesting, or extracting data. Apply to the source node specifically, not to subsequent pipeline steps. Never skip Dataplex profiling (Steps 1 and 3). Always use Dataplex — not ad-hoc BigQuery profiling. Task Execution Workflow Step 1: Preliminary Checks (Before Implementation Planning) Perform these checks before generating the implementationplan.md. Check Eligibility — You MUST confirm the source is a BigQuery table or GCS source. Gather Data Profile via Dataplex: GCS sources: For GCS sources, you MUST create an external table first before running the dataplex scan.
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