Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Transform, format, and process text with patterns for writing, data cleaning, localization, citations, and copywriting.
Transform, format, and process text with patterns for writing, data cleaning, localization, citations, and copywriting.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
TaskLoadCreative writing (voice, dialogue, POV)writing.mdData processing (CSV, regex, encoding)data.mdAcademic/citations (APA, MLA, Chicago)academic.mdMarketing copy (headlines, CTA, email)copy.mdTranslation/localizationlocalization.md
Always verify encoding first: file -bi document.txt Normalize line endings: tr -d '\r' Remove BOM if present: sed -i '1s/^\xEF\xBB\xBF//'
Collapse multiple spaces: sed 's/[[:space:]]\+/ /g' Trim leading/trailing: sed 's/^[[:space:]]*//;s/[[:space:]]*$//'
Smart quotes (" ") break parsers โ normalize to " Em/en dashes (โ โ) break ASCII โ normalize to - Zero-width chars invisible but break comparisons โ strip them String length โ byte length in UTF-8 ("cafรฉ" = 4 chars, 5 bytes)
# 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
TaskCommandLowercasetr '[:upper:]' '[:lower:]'Remove punctuationtr -d '[:punct:]'Count wordswc -wCount unique linessort -u | wc -lFind duplicatessort | uniq -dExtract emailsgrep -oE '[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'Extract URLs`grep -oE 'https?://[^[:space:]<>"{}
Encoding verified (UTF-8?) Line endings normalized Delimiter identified (for structured text) Target format/style defined Edge cases considered (empty, Unicode, special chars)
Writing, remixing, publishing, visual generation, and marketing content production.
Largest current source with strong distribution and engagement signals.