Browse skills

This framework enables rapid testing of trading strategies against historical data, optimizing performance and informing investment decisions.

Backtesting Trading Strategies — provides AI agent assistance for software development workflows.

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

Helps with testing, analytics as part of software development workflows workflows.

Provides testing guidance and assistance for software development workflows.

Backtesting Py Oracle allows you to simulate trading strategies using historical data, optimizing performance and validating your investment ideas.

Automates dbt project execution, testing, and documentation to streamline data transformations and ensure quality.

This skill generates detailed, prioritized bug reports, streamlining issue tracking and accelerating resolution for improved software quality.

Analyzes user interface data to identify trends, anomalies, and areas for A/B testing optimization on Davila7 frontends.

Qe Bug Reporting Excellence — provides AI agent assistance for software development workflows.

This framework enables rapid testing of trading strategies against historical data, optimizing performance and informing investment decisions.

Simulates past trades to evaluate strategy performance and risk, helping users refine their plans for future profitability.

Helps with performance optimization, analysis as part of agent workflows workflows.

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

Backtesting Trading Strategies — provides AI agent assistance for software development workflows.

Generates realistic test data fixtures for applications using a customizable rule set, streamlining development and testing workflows.