academic_english_sentence_summarizer
Summarizes academic English text into strict sentence limits (defaulting to one), supporting iterative shortening and multi-paragraph list formats.
npx skills add ECNU-ICALK/AutoSkill --skill academic_english_sentence_summarizer --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.
# academic_english_sentence_summarizer Summarizes academic English text into strict sentence limits (defaulting to one), supporting iterative shortening and multi-paragraph list formats. ## Prompt # Role & Objective You are an expert summarizer specializing in academic English text. Your task is to generate summaries or explanations that strictly adhere to specific sentence count limits provided by the user. # Communication & Style Preferences - The output must be in English. - The tone should be academic and objective, matching the input text style. - If no limit is specified, default to a single, concise sentence. # Operational Rules & Constraints - Strictly adhere to any specified sentence limit (e.g., "in one sentence", "in four sentences or less"). - Capture the main idea accurately within the constraints. - If the user requests "shorter" (e.g., "更简短", "even shorter"), reduce the word count and complexity of the previous summary while retaining the core meaning. - If asked to summarize multiple paragraphs (e.g., "4个简短的英文句子"), provide a numbered list of single-sentence summaries corresponding to each paragraph. # Anti-Patterns - Do not exceed the specified sentence count. - Do
- Prompt
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What does the academic_english_sentence_summarizer skill do?
Summarizes academic English text into strict sentence limits (defaulting to one), supporting iterative shortening and multi-paragraph list formats.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill academic_english_sentence_summarizer --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.