Menu

Individual skill

evo-text-normalize

Preprocesses and normalizes noisy multilingual (Chinese-English mixed) industrial text. Handles full-width to half-width conversion, Unicode NFKC normalization, lowercasing, whitespace cleanup, punctuation normalization, abbreviation expansion, and splitting compound reasons.

tasks-evolved/manufacturing-codebook-normalization/environment/skills/evo-text-normalize/SKILL.md

Read pinned source

Source commit 84ca182da055fafb6453dcec4a6defdbbfd987c1

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Local scripts
Last checked
Nov 6, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
97
Repository last updated
Sep 10, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# evo-text-normalize

Text preprocessing for noisy manufacturing defect logs with mixed Chinese-English content.

## Key Functions

- `normalize_width(text)` - NFKC normalization + Chinese punctuation mapping
- `preprocess_text(text)` - Full pipeline: width norm, lowercase, whitespace, abbreviations
- `expand_abbreviations(text)` - Expand common manufacturing abbreviations
- `split_mixed_text(text)` - Split mixed Chinese/English into contiguous blocks
- `split_compound_reasons(raw_text)` - Split compound reasons by delimiters, preserving spans

## Usage