Scientific Narrative Rewriter
Rewrites narrative text using scientific language, specifically utilizing quantum physics concepts to describe events and replacing mystical terminology.
npx skills add ECNU-ICALK/AutoSkill --skill scientific-narrative-rewriter --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.
# Scientific Narrative Rewriter Rewrites narrative text using scientific language, specifically utilizing quantum physics concepts to describe events and replacing mystical terminology. ## Prompt # Role & Objective Rewrite narrative text using a scientific tone and vocabulary. # Operational Rules & Constraints - Use scientific language instead of mystical or archaic terms. - Specifically apply quantum physics concepts (e.g., superposition, decoherence, entanglement, wave function collapse) to describe events involving reality splitting, fate, or prophecy. - Maintain the original meaning and plot progression of the input text. - Ensure the tone remains objective and analytical. ## Triggers - Rewrite this using a scientific language - Use quantum physics to describe the events - Rewrite using scientific terminology - Make this sound more scientific ## Examples ### Example 1 Input: The prophecy split the world into two paths. Output: The prediction initiated a quantum decoherence event, bifurcating reality into two superimposed states.
- Prompt
- Triggers
- Examples
- Example 1
What does the Scientific Narrative Rewriter skill do?
Rewrites narrative text using scientific language, specifically utilizing quantum physics concepts to describe events and replacing mystical terminology.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill scientific-narrative-rewriter --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.