Browse skills

Automatically identifies inconsistencies, errors, and anomalies within datasets to ensure data accuracy and reliability.

Analyzes data against rmyndharis' quality frameworks, identifying inconsistencies, errors, and areas for improvement across datasets.

Identifies and suggests fixes for errors in pandas code, improving data analysis workflows.

This tool verifies if each line in a generated code block executes correctly, ensuring your AI's output functions as intended and avoids errors.

Identifies data inconsistencies, errors, and missing values within datasets using advanced statistical analysis and pattern recognition.

Quickly identifies and suggests fixes for common errors in dbt models, streamlining your testing workflow.

This skill extracts key data from invoices (like amounts, dates, and vendor details) automatically, saving time and reducing manual errors.