Data & Analytics Templates

Templates for data analysis, visualization, and ML workflows.

Data templates are designed for data analysis, visualization, and machine learning workflows.

Data Analysis Agent

A comprehensive data analysis assistant for statistical analysis and insights.

Default Tools

  • read-file - Read data files
  • write-file - Create analysis reports
  • find-files - Locate data sources
  • database-query - Query databases
  • run-command - Execute analysis scripts

Sample Prompts

  • "Analyze this CSV and identify statistical outliers"
  • "Calculate correlation between these variables"
  • "Generate summary statistics for the dataset"
  • "Find patterns in the customer behavior data"

Best For

  • Exploratory data analysis
  • Statistical testing
  • Data profiling
  • Insight generation

This template enables run-command for executing Python/R scripts. Ensure appropriate permission settings.


Visualization Agent

Focused on creating charts, graphs, and interactive dashboards.

Default Tools

  • read-file - Read data
  • write-file - Create visualization code
  • find-files - Locate data sources
  • run-command - Generate visualizations

Sample Prompts

  • "Create a bar chart comparing quarterly sales"
  • "Generate a dashboard with key metrics"
  • "Build an interactive time series visualization"
  • "Create a heatmap of user engagement"

Best For

  • Chart generation
  • Dashboard creation
  • Interactive visualizations
  • Report graphics

ML Pipeline Builder

Specialized for machine learning workflow development.

Default Tools

  • read-file - Read data and models
  • write-file - Create pipeline code
  • find-files - Locate datasets
  • search-files - Find model definitions
  • run-command - Execute training and evaluation

Sample Prompts

  • "Create a data preprocessing pipeline"
  • "Build a classification model for this dataset"
  • "Implement cross-validation for the model"
  • "Generate feature engineering code"

Best For

  • ML pipeline development
  • Model training
  • Feature engineering
  • Model evaluation

Comparing Data Templates

TemplateDatabase AccessCommand ExecutionPrimary Focus
Data Analysis AgentYesYesStatistical analysis
Visualization AgentNoYesCharts and dashboards
ML Pipeline BuilderNoYesML workflows

Python environment

Data templates work best with a configured Python environment. Ensure pandas, numpy, matplotlib, and scikit-learn are available for full functionality.