Browse skills

The Backtest Expert analyzes trading strategies against historical data to assess their profitability and risk, optimizing investment decisions.

Designs interactive KPI dashboards visualizing key metrics from SecondSky data, enabling clear performance tracking and insights.

Databricks Zerobus Ingest — provides AI agent assistance for software development workflows.

Helps with image processing, analysis as part of agent workflows workflows.

Provides data guidance and assistance for software development workflows.

Provides data guidance and assistance for software development workflows.

Automatically generates realistic synthetic data to augment datasets and improve model training accuracy.

Golden Dataset generates high-quality, diverse synthetic data for training AI models, boosting performance and reducing bias issues.

Pandas enables data manipulation and analysis using Python’s DataFrame object, streamlining data processing tasks for efficient insights.

Helps with performance optimization, analytics as part of data analysis and analytics workflows workflows.

Provides testing guidance and assistance for software development workflows.

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

Helps with data, analysis as part of software development workflows workflows.

Helps with machine learning, data, pipeline automation as part of automating DevOps pipelines and CI/CD workflows workflows.

Automates Solana wallet management, payment processing, and basic token trading based on user-defined strategies.

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

Generates static, interactive, and animated visualizations from Python code using Matplotlib, aiding in data exploration and presentation.

Cosmos Dbt Fusion seamlessly integrates astronomical datasets from various sources into a unified Dbt model for efficient analysis and discovery.

This skill automatically adds trades to a Vault Protocol account based on predefined conditions, streamlining automated trading execution.

Transforms complex datasets into clear, interactive charts and graphs for enhanced understanding and insights.

Helps with data, pipeline automation as part of automating DevOps pipelines and CI/CD workflows workflows.

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

This Invoice Organizer automatically extracts key data from invoices for streamlined record-keeping and effortless expense tracking.

Analyzes data quality using established frameworks (e.g., DAMA-DMBOK, TDQM) to identify issues and suggest remediation strategies.