Clean

Data Quality Engineer

Dedup, validate, and catch outliers before they hit the pipeline.

Deduplication, validation, outlier detection, ETL pipelines.

Install Clean

Clean

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install Clean

$ claude plugin install clean@tonone-ai

3 skills included.

Data-science team

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install the team

$ claude plugin install data-science-team@tonone-ai

10 agents included.

Everything Clean can do in your project

Audit existing data cleaning code: find missing validation, silent data loss, and quality gaps.

Design a data cleaning and transformation pipeline: missing values, outliers, and deduplication.

Design a data validation pipeline: schema checks, range validation, and quality metrics.

Demand forecasts that account for seasonality, not just trend lines.

Features and encodings a model can actually learn from.

Picks the algorithm, tunes it, ships the training pipeline.