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CSV to Questions

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

Live preview

Eve

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.

Install

$ 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.