CSV to Questions

Summary

The CSV to Questions Agent takes a CSV dataset and turns it into a set of sharp, answerable analytical questions. It first summarizes the data — columns, types, ranges, patterns — to compress large files and avoid token-limit errors, then generates questions a data analyst would actually ask. Reach for it to kickstart exploratory analysis or build study material from raw data.

Installation

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$ pnpm dlx shadcn@latest add @agentcn/mastra/csv-to-questions
Copy

Composition

Copy├── config.ts            # Agent definition (model + config)
├── instructions.md      # Summarize-then-question instructions
└── tools/
    └── fetch_csv.ts     # Loads a CSV file from a URL

Customization

• Read local files. Swap fetch_csv to read from disk or object storage instead of a URL.
• Control the question style. Edit instructions.md to bias toward trends, comparisons, or hypothesis tests.
• Swap the model. Edit config.ts. A large-context model handles wide datasets without truncation.
• Chunk huge files. Summarize in row batches and merge the profiles before generating questions.