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Transform, format, and process text with patterns for writing, data cleaning, localization, citations, and copywriting.

v1.0.0
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Description


name: Text description: Transform, format, and process text with patterns for writing, data cleaning, localization, citations, and copywriting.

Quick Reference

Task Load
Creative writing (voice, dialogue, POV) writing.md
Data processing (CSV, regex, encoding) data.md
Academic/citations (APA, MLA, Chicago) academic.md
Marketing copy (headlines, CTA, email) copy.md
Translation/localization localization.md

Universal Text Rules

Encoding

  • Always verify encoding first: file -bi document.txt
  • Normalize line endings: tr -d '\r'
  • Remove BOM if present: sed -i '1s/^\xEF\xBB\xBF//'

Whitespace

  • Collapse multiple spaces: sed 's/[[:space:]]\+/ /g'
  • Trim leading/trailing: sed 's/^[[:space:]]*//;s/[[:space:]]*$//'

Common Traps

  • Smart quotes (" ") break parsers → normalize to "
  • Em/en dashes ( ) break ASCII → normalize to -
  • Zero-width chars invisible but break comparisons → strip them
  • String length ≠ byte length in UTF-8 ("café" = 4 chars, 5 bytes)

Format Detection

# Detect encoding
file -I document.txt

# Detect line endings
cat -A document.txt | head -1
# ^M at end = Windows (CRLF)
# No ^M = Unix (LF)

# Detect delimiter (CSV/TSV)
head -1 file | tr -cd ',;\t|' | wc -c

Quick Transformations

Task Command
Lowercase tr '[:upper:]' '[:lower:]'
Remove punctuation tr -d '[:punct:]'
Count words wc -w
Count unique lines sort -u | wc -l
Find duplicates sort | uniq -d
Extract emails grep -oE '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
Extract URLs `grep -oE 'https?://[^[:space:]<>"{}

Before Processing Checklist

  • Encoding verified (UTF-8?)
  • Line endings normalized
  • Delimiter identified (for structured text)
  • Target format/style defined
  • Edge cases considered (empty, Unicode, special chars)

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Compatible Platforms

Pricing

Free

Related Configs