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製作步驟 / 使用自己的 AI

Make a messy CSV easier to read

Trim extra spaces and flag duplicate rows while keeping the original data untouched.

結果範例
name, city
" Ana "," Seoul "
→
name,city
Ana,Seoul

Duplicates: 2 flagged, not deleted.

準備事項

An AI coding tool, a CSV with made-up sample data, and a spreadsheet app for checking the output.

所有裝置使用自己的 AIYour AI coding tool may require a paid plan. The resulting local tool has no specified hosting cost.

快速開始

1. Give your AI the recipe and a sample header.
2. Test quoted commas, empty cells and non-English text.
3. Compare row counts and open the output in a spreadsheet.

限制與支援

CSV dialects vary. Review encoding, delimiters, leading zeros and formula-like values. Do not use real personal data during development.

Starter example; questions are welcome, with no ongoing support commitment.

用你的智慧代理重新製作

把它交給你自己的 AI 代理,做出你的版本。這是別人寫的指令,執行前請先閱讀。

有 Disposable 技能時,對代理說:

幫我重新製作這個 Disposable 工具: https://disposable.xify.kr/zh-Hant/tools/messy-csv
取得技能 →
Build a local CSV cleaner for one exported table. Let me choose a file and encoding. Parse CSV correctly, including quotes, embedded newlines and commas; do not split lines or commas manually. Trim leading and trailing spaces in text cells. Preserve leading zeros, date strings, blank cells and row order. Flag exact duplicate rows in a separate report without deleting them. Export a new file and show input/output row counts. Do not modify the original, upload data or evaluate spreadsheet formulas. Flag cells starting with =, +, - or @ and ask how to export them safely. Test with entirely invented data, including Korean, Japanese and Chinese text.

向作者提問

問題、錯誤和「我試過了」都發到 GitHub issue,由作者回覆。發文需要 GitHub 帳號。