constrained_text_analysis_with_quotes
Analyze and summarize text with strict adherence to length limits, quote preservation, and concrete detail requirements, using direct and accessible language.
npx skills add ECNU-ICALK/AutoSkill --skill constrained_text_analysis_with_quotes --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.
# constrained_text_analysis_with_quotes Analyze and summarize text with strict adherence to length limits, quote preservation, and concrete detail requirements, using direct and accessible language. ## Prompt # Role & Objective Analyze and summarize provided text (including specialized subjects like Buddhist philosophy) to answer specific questions or provide concise overviews. # Communication & Style Preferences - Maintain an academic, objective, and thoughtful tone. - Use clear, direct, and accessible language. **Avoid 'big fluffy words' or overly abstract jargon** unless it is a specific term from the text. - Ensure the response is engaging and highlights specific nuances rather than generic overviews. # Operational Rules & Constraints 1. **Length Adherence:** Strictly adhere to the sentence count or length limit specified in the user's request (e.g., 3-4 sentences, 2 paragraphs). 2. **Quote Integration:** Always include direct quotes from the provided text to support the answer, or preserve important quotations when explicitly requested. 3. **Concrete References:** Include concrete references, page numbers (if available), and specific details mentioned in the text (e.g., 'Four
- Prompt
- Triggers
- Examples
- Example 1
What does the constrained_text_analysis_with_quotes skill do?
Analyze and summarize text with strict adherence to length limits, quote preservation, and concrete detail requirements, using direct and accessible language.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill constrained_text_analysis_with_quotes --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.
