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CSV to Questions

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Summarizes a CSV dataset to stay within token limits, then generates focused analytical questions.

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Output will stream here when you run the agent.

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

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

Composition

agent/
├── agent.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 agent/agent.ts. A large-context model handles wide datasets without truncation.
  • Chunk huge files. Summarize in row batches and merge the profiles before generating questions.