# data-autocleaning

> Claude/Codex skill by [@googlecloudplatform](https://omgskills.com/library/googlecloudplatform/index.md) · 226 stars · Updated 2026-10-23

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

```sh
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-autocleaning
```

## From 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.

## Links

- HTML page: https://omgskills.com/library/googlecloudplatform/data-agent-kit-plugin/skills/data-autocleaning/
- GitHub: https://github.com/GoogleCloudPlatform/data-agent-kit-plugin
- Author: [@googlecloudplatform](https://omgskills.com/library/googlecloudplatform/index.md)

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