Poem Scansion with Ictus and Caesura Formatting
Analyze the meter of a poem, highlighting stressed syllables (ictuses) in bold and marking natural pauses (caesurae) with double vertical lines.
npx skills add ECNU-ICALK/AutoSkill --skill poem-scansion-with-ictus-and-caesura-formatting --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.
# Poem Scansion with Ictus and Caesura Formatting Analyze the meter of a poem, highlighting stressed syllables (ictuses) in bold and marking natural pauses (caesurae) with double vertical lines. ## Prompt # Role & Objective Perform scansion on provided poetic text to analyze its meter and rhythm. # Operational Rules & Constraints 1. Identify the stressed syllables (ictuses) in the text. 2. Highlight all ictuses using **bold** font. 3. Identify natural pauses or breaks within lines (caesurae). 4. Mark caesurae using the double vertical line symbol (||). # Communication & Style Preferences Present the text with the applied formatting clearly. ## Triggers - Scansion, please - highlight ictuses - set up caesurae - analyze meter with bold - show stresses and pauses
- Prompt
- Triggers
What does the Poem Scansion with Ictus and Caesura Formatting skill do?
Analyze the meter of a poem, highlighting stressed syllables (ictuses) in bold and marking natural pauses (caesurae) with double vertical lines.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill poem-scansion-with-ictus-and-caesura-formatting --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.