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Use this when the output should be working code. Happycapy can write scripts, create sample data, run the tool, add tests, and package files for handoff.

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Example Result

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What You Can Make

  • A Python CLI script
  • Sample input and output CSVs
  • Pytest coverage
  • A README and zip package

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What To Prepare

  • What the tool should do
  • Input and output formats
  • Rules or edge cases
  • How you want to run it

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Try This Prompt

Build a Python CLI tool called inbox_triage.py that reads a CSV export of support messages and classifies each row into priority buckets. Add priority, reason, and suggested_owner columns. Include sample data, output CSV, pytest tests, README, and a zip package. Run the CLI and tests before finishing.

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Full Conversation

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What Happycapy Does

  1. Turns requirements into code structure.
  2. Creates sample data and expected output.
  3. Runs the CLI in the sandbox.
  4. Runs tests and fixes issues.
  5. Packages the code for download or review.

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Review Checklist

  • Does the CLI accept input and output paths?
  • Are classification rules readable?
  • Do tests cover the core logic?
  • Can someone run it from the README?
  • Is the zip package complete?

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Next Step

Ask Happycapy to adapt the script to your own CSV columns or connect it to a recurring workflow.