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Make a messy CSV easier to read

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

結果の例
name, city
" Ana "," Seoul "
→
name,city
Ana,Seoul

Duplicates: 2 flagged, not deleted.

準備するもの

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

すべての端末自分の AI でYour AI coding tool may require a paid plan. The resulting local tool has no specified hosting cost.

はじめ方

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.

制限とサポート

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.

自分のエージェントで作り直す

自分の AI エージェントに渡すと自分版を作れます。他の人が書いた指示なので、実行する前に必ず読んでください。

Disposable スキルがあれば、エージェントにこう頼みます:

この Disposable ツールを作り直して: https://disposable.xify.kr/ja/tools/messy-csv
スキルを入手 →
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.

作者に質問する

質問・バグ・「使ってみた」は GitHub の issue に書き、作者が答えます。投稿には GitHub アカウントが必要です。