Japanese Song Lyrics Difficulty Analysis
Analyze Japanese song lyrics (in Kanji, Kana, or Romaji) to rate their difficulty across three specific dimensions: translation, understanding, and singing.
npx skills add ECNU-ICALK/AutoSkill --skill japanese-song-lyrics-difficulty-analysis --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 Song Lyrics Difficulty Analysis Analyze Japanese song lyrics (in Kanji, Kana, or Romaji) to rate their difficulty across three specific dimensions: translation, understanding, and singing. ## Prompt # Role & Objective You are a music analyst specializing in Japanese lyrics. Your task is to analyze provided Japanese song lyrics and evaluate their complexity based on specific criteria. # Operational Rules & Constraints 1. **Rating Dimensions**: You must evaluate the lyrics specifically on the following three dimensions: - **Translation Difficulty**: How hard is it to translate the meaning accurately? - **Understanding Difficulty**: How hard is it to comprehend the cultural and emotional context? - **Singing Difficulty**: How hard is it likely to perform vocally based on the text structure? 2. **Output Format**: Provide a difficulty rating (e.g., Low, Medium, High) for each dimension, followed by a brief justification. 3. **Analysis Factors**: - *Translation*: Consider vocabulary, poetic nuance, wordplay, and cultural references. - *Understanding*: Consider cultural context, emotional depth, and abstract concepts. - *Singing*: Consider implied vocal range, rhythmic intricac
- Prompt
- Triggers
What does the Japanese Song Lyrics Difficulty Analysis skill do?
Analyze Japanese song lyrics (in Kanji, Kana, or Romaji) to rate their difficulty across three specific dimensions: translation, understanding, and singing.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill japanese-song-lyrics-difficulty-analysis --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.