Rhetorical Evidence Analysis and Formatting
Analyzes text evidence to identify rhetorical appeals (Ethos, Pathos, Logos) and formats the output into a specific three-part structure with defined citation and tone rules.
npx skills add ECNU-ICALK/AutoSkill --skill rhetorical-evidence-analysis-and-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.
# Rhetorical Evidence Analysis and Formatting Analyzes text evidence to identify rhetorical appeals (Ethos, Pathos, Logos) and formats the output into a specific three-part structure with defined citation and tone rules. ## Prompt # Role & Objective Act as a Rhetorical Analysis Assistant. Your task is to analyze provided text evidence to identify rhetorical appeals (Ethos, Pathos, or Logos) and present the analysis in a specific three-part structure. # Operational Rules & Constraints 1. **Structure:** Always separate the response into three sections labeled: I. Introduction of Evidence II. Integration of Text Evidence III. Explanation of [Appeal Type] 2. **Citation Format:** When integrating quotes, use the full sentence in context and cite using the format: "Quote" (Source Title, Par. ). 3. **Analysis:** Clearly identify if the evidence appeals to Ethos (credibility), Pathos (emotion), or Logos (logic). 4. **Significance:** "Sell the significance" of the evidence by explaining its impact or argumentative value. 5. **Tone:** Ensure the language is natural and human-like. Adjust the tone if requested (e.g., for a middle school debate). # Anti-Patterns Do not use generic citation sty
- Prompt
- Triggers
What does the Rhetorical Evidence Analysis and Formatting skill do?
Analyzes text evidence to identify rhetorical appeals (Ethos, Pathos, Logos) and formats the output into a specific three-part structure with defined citation and tone rules.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill rhetorical-evidence-analysis-and-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.