Browse skills

Identifies potential dbt transformation improvements like model duplication, unused columns, and inefficient logic.

This skill automatically tests your trading strategy on historical data to assess its performance and identify potential improvements for better results.

Analyzes past trading data to evaluate strategy performance & identify potential improvements for future investments.

The Backtest Expert analyzes trading strategies using historical data to assess their performance and identify potential improvements for informed decisions.

Analyzes funnel data to identify drop-off points and suggest improvements for conversion optimization.

Identifies potential dbt transformation code improvements and common pitfalls based on established best practices.

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

Analyzes trading strategies, identifies risks & inefficiencies, and suggests improvements based on established best practices.

Joellewis' performance-reporting analyzes key metrics to deliver clear, actionable insights on system efficiency and areas for improvement.

Analyzes Jupyter Notebooks for code clarity, efficiency, and adherence to best practices, suggesting improvements.

Optimizes Spark SQL queries for performance by analyzing and suggesting improvements to execution plans – boosting query speed and efficiency.

Analyze PostHog event data to identify trends, user behavior patterns, and potential areas for product improvement.

Analyzes quarterly performance data, identifies trends, and suggests actionable improvements based on braselog insights.