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.

Install

bunnpmpnpmyarn
$ pnpm dlx shadcn@latest add https://agentcn.vercel.app/r/flue/csv-to-questions.json
Copy

Composition

Copyagents/
└── csv-to-questions.ts   # Single-agent variant with the fetch_csv tool
workflows/
└── csv-to-questions.ts   # summarizer → questioner pipeline (typed output)
tools/
└── fetch-csv.ts          # Loads a CSV file from a URL

Customization

• Read local files. Swap fetch-csv.ts to read from disk or object storage.
• Reshape the output. Edit the Questions valibot schema to add fields such as difficulty or the column each question targets.
• Swap the models. Use a large-context model on the summarizer for wide datasets; a smaller one on the questioner for speed.
• Chunk huge files. Summarize in row batches and merge before questioning.