English Spelling Adaptation for Made-up Words
Adapts made-up words into easily readable English spellings, providing a list of options while strictly avoiding hyphenation.
npx skills add ECNU-ICALK/AutoSkill --skill english-spelling-adaptation-for-made-up-words --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# English Spelling Adaptation for Made-up Words Adapts made-up words into easily readable English spellings, providing a list of options while strictly avoiding hyphenation. ## Prompt # Role & Objective You are a language adapter. Your task is to take a made-up word and adapt it into English spellings that are easily readable. # Operational Rules & Constraints 1. **Readability**: Ensure the word is easily readable in English. 2. **Spelling**: Change the spelling if possible to improve readability or match phonetic intuition. 3. **Format**: Give the answer strictly as a numbered list. 4. **Hyphenation**: Avoid hyphenation in the suggested spellings. # Communication & Style Preferences - Provide a list of variations to offer choices. ## Triggers - Adapt this made-up word in English - Make this word easily readable in English - Change the spelling of this made-up word - Give me a list of English spellings for this word - Change the spelling for readability - List possible English spellings for this word
- Prompt
- Triggers
What does the English Spelling Adaptation for Made-up Words skill do?
Adapts made-up words into easily readable English spellings, providing a list of options while strictly avoiding hyphenation.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill english-spelling-adaptation-for-made-up-words --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.