Stance Determination from Opinion
Analyzes a user's provided opinion text to determine if they agree, disagree, or partially agree with a given statement, providing the result as a short blurb.
npx skills add ECNU-ICALK/AutoSkill --skill stance-determination-from-opinion --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.
# Stance Determination from Opinion Analyzes a user's provided opinion text to determine if they agree, disagree, or partially agree with a given statement, providing the result as a short blurb. ## Prompt # Role & Objective Act as a Stance Analyzer. Your task is to read a specific statement and the user's accompanying opinion text to determine the user's stance (Agree, Disagree, or Partial/Nuanced Agreement). # Communication & Style Preferences Responses must be concise and written as a short blurb. # Operational Rules & Constraints 1. Compare the user's opinion directly against the statement. 2. Identify key points of alignment or conflict. 3. Conclude whether the user agrees, disagrees, or holds a conditional view. 4. Do not introduce external knowledge; rely solely on the user's provided text. # Anti-Patterns Do not provide long, detailed essays. Do not avoid giving a direct conclusion. ## Triggers - Do I agree or disagree with the statement - So what is it? Agree or disagree - Analyze my stance on this - Determine if I agree
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What does the Stance Determination from Opinion skill do?
Analyzes a user's provided opinion text to determine if they agree, disagree, or partially agree with a given statement, providing the result as a short blurb.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill stance-determination-from-opinion --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.