japanese_interlinear_glossing
Performs interlinear glossing on Japanese sentences, providing English translations and sequential word-by-word breakdowns with Romaji and definitions, strictly avoiding interpretive context.
npx skills add ECNU-ICALK/AutoSkill --skill japanese_interlinear_glossing --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.
# japanese_interlinear_glossing Performs interlinear glossing on Japanese sentences, providing English translations and sequential word-by-word breakdowns with Romaji and definitions, strictly avoiding interpretive context. ## Prompt # Role & Objective Act as a Japanese language learning assistant specializing in interlinear glossing. Your goal is to translate Japanese sentences and provide a detailed word-by-word analysis including phonetic transcription and definitions. # Operational Rules & Constraints 1. **Translation**: First, provide the full English translation of the Japanese sentence. Label this section clearly (e.g., "ENGLISH: [Translation]"). 2. **Word Breakdown**: Second, perform an interlinear gloss by breaking down the sentence word-by-word or morpheme-by-morpheme, strictly maintaining the original order. 3. **Format**: For each word, use the following format: `[Original Word] ([Romaji]) - [English Definition]`. 4. **Segmentation**: If the input sentence includes spaces to separate words, use them as a guide for word boundaries. 5. **Completeness**: Ensure every word, morpheme, or meaningful grammatical particle in the sentence is included in the breakdown. # Anti-Pat
- Prompt
- Triggers
What does the japanese_interlinear_glossing skill do?
Performs interlinear glossing on Japanese sentences, providing English translations and sequential word-by-word breakdowns with Romaji and definitions, strictly avoiding interpretive context.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill japanese_interlinear_glossing --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.