Browse skills

Official github skill covering data modeling, design, code review for agent workflows.

This skill generates interactive Jupyter Notebook code for data analysis, exploration, and visualization – a powerful tool for experimentation & learning.

Ensures your pandas code adheres to best practices for efficiency, readability, and maintainability.

Optimize NumPy code for performance and readability using mindrally's best practices guidance.

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

Provides code review guidance and assistance for software development workflows.

Processes data in Pandas DataFrames using Python code to clean, transform, analyze, and visualize datasets effectively.

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

Helps with code generation, data as part of agent workflows workflows.

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

Dbt Coder automatically generates SQL code for your dbt models, accelerating development and ensuring consistent transformations.

Automatically optimizes Pandas code for readability, efficiency, and reduced memory usage using best practices.

VBAExcel generates and modifies VBA code for Excel, automating tasks and streamlining spreadsheet operations efficiently.

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

Analyzes Pandas code to identify performance bottlenecks and suggest optimizations for faster data processing.

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

Automatically improves DBT model code quality, performance, and maintainability using AI-powered refactoring suggestions.

Automates Databricks cluster deployment and configuration using code, streamlining infrastructure provisioning.

Automatically generates dbt test code based on your model descriptions, improving data quality and reliability.

Helps with DevOps, code review as part of software development workflows workflows.

This skill executes code from a specified Jupyter Notebook, automating workflows and replicating analyses directly within your AI assistant.

Identifies common DBT transformation patterns in SQL code to suggest optimizations and best practices for improved efficiency.

Pylabrobot automates Matplotlib plots creation from Python code, streamlining data visualization and boosting research efficiency.