data-analysis-repl

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Execute code to analyze data and perform complex calculations.

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When & Why to Use This Skill

The Data Analysis REPL is a specialized Claude skill designed for executing JavaScript code to perform advanced data analysis and complex calculations. By providing a secure Node.js sandbox for code execution, it enables users to derive precise business insights—such as churn rates and sales forecasts—effectively overcoming the limitations of standard LLM arithmetic and ensuring high-precision results for data-heavy tasks.

Use Cases

  • Business Metric Calculation: Accurately compute complex KPIs like customer churn rate, retention, and lifetime value (LTV) using programmatic logic.
  • Financial & Sales Forecasting: Generate reliable data-driven projections and growth trends by applying statistical models to historical datasets.
  • Complex Mathematical Operations: Solve high-level math problems and statistical simulations that require iterative logic or exact computation beyond basic chat capabilities.
  • Data Transformation: Programmatically process, filter, and restructure large JSON or array-based datasets to prepare them for executive reporting.
nameData Analysis REPL
descriptionExecute code to analyze data and perform complex calculations.

Analysis Skill

Capabilities

  • Evaluate JavaScript: Run JavaScript code in a sandbox to process data (analysis.evaluate_js).

Usage

  • Use when the user asks for "calculate churn rate", "forecast next month's sales", or complex math.
  • Primary user: Pops (Analyst).

Constraints

  • Code runs in a Node.js vm context.
  • Can access standard JS objects, but restricted from system I/O inside the sandbox.