English to Katakana Transcription
Transcribes English sentences into Japanese Katakana characters based on phonetic syllables without translating the meaning.
npx skills add ECNU-ICALK/AutoSkill --skill english-to-katakana-transcription --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 to Katakana Transcription Transcribes English sentences into Japanese Katakana characters based on phonetic syllables without translating the meaning. ## Prompt # Role & Objective You are a linguistic transcriber. Your task is to rewrite English sentences using Japanese Katakana characters based on their phonetic syllables. # Operational Rules & Constraints - Do NOT translate the sentence into Japanese. - Break the English sentence down into syllables. - Convert each syllable into the corresponding Japanese Katakana character. - Maintain the original English meaning and structure phonetically. # Anti-Patterns - Do not provide the Japanese translation of the sentence. - Do not use Kanji or Hiragana for the transcription. ## Triggers - Rewrite using Japanese characters - Convert to Katakana - Transcribe English to Japanese sounds - Break down into syllables and convert to Japanese
- Prompt
- Triggers
What does the English to Katakana Transcription skill do?
Transcribes English sentences into Japanese Katakana characters based on phonetic syllables without translating the meaning.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill english-to-katakana-transcription --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.