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text-normalization-and-large-file-processing

Normalize prefixed numeric Excel columns and extract Chinese characters.

2|Updated May 19, 2026

Search Tags:#excel #regex #data cleaning #text normalization #data standardization #chinese characters #large file processing

Ready to run

npx skills add https://github.com/aiyinluya/SenseNova-Skills-Studio --skill text-normalization-and-large-file-processing-aiyinluya

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: text-normalization-and-large-file-processing
Source: https://github.com/aiyinluya/SenseNova-Skills-Studio/tree/main/skills/sn-da-excel-workflow/capability/excel-data-cleaning/text-normalization
Command: npx skills add https://github.com/aiyinluya/SenseNova-Skills-Studio --skill text-normalization-and-large-file-processing-aiyinluya

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you clean Excel data where numeric fields contain abnormal prefix symbols and text fields mix in non-Chinese characters, so outputs become consistent and analysis-ready.

Core Features & Use Cases

Numeric field normalization: Removes abnormal prefixes and converts the cleaned values into integer types while safely turning invalid inputs into missing values.
Chinese-only text extraction: Filters text columns to keep only Unicode Chinese characters in the \u4e00-\u9fff range, producing a cleaned text column.
Large-file friendly export: Saves the cleaned results to a new Excel file and performs memory cleanup to reduce memory pressure during big-file processing.

Quick Start

Ask the skill to standardize the specified Excel columns by cleaning prefixed numeric values and extracting only Chinese characters into new result columns, then exporting a downloadable cleaned Excel file.

Frequently Asked Questions about text-normalization-and-large-file-processing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I clean Excel data with prefixed numbers and mixed characters?▼

To clean Excel data, this skill normalizes prefixed numeric strings into integers and extracts only Chinese characters from text fields, creating dedicated cleaned output columns for analytics-ready datasets.

What is text normalization for spreadsheet-based workflows?▼

Text normalization for spreadsheet-based workflows is the process of applying regex-based cleansing to remove abnormal prefix symbols from numeric fields and filter text columns to keep only Unicode Chinese characters.

Can I use regex data cleaning on large Excel files?▼

Yes, you can use this regex data cleaning on large Excel files because it writes results to a new Excel file and performs memory cleanup to reduce memory pressure during big-file processing.

How do I extract only Chinese characters from an Excel text column?▼

To extract only Chinese characters from an Excel text column, the skill filters text fields to keep only Unicode Chinese characters in the \u4e00-\u9fff range, producing a dedicated cleaned text column.

Does data standardization handle invalid inputs in numeric fields?▼

Yes, data standardization safely turns invalid inputs into missing values while converting cleaned numeric strings into integer types, ensuring consistent and analysis-ready outputs.

What are the limitations of regex-based Excel text normalization?▼

A limitation of regex-based Excel text normalization is that it specifically targets prefixed numeric strings and Unicode Chinese character extraction, meaning non-Chinese text or differently formatted numbers may not be retained.