Abstract Shortening to 160 Words with Specific Structure
Shortens academic abstracts to a strict maximum of 160 words while adhering to a specific four-part structure: problem statement, background context, primary results, and a concluding sentence.
npx skills add ECNU-ICALK/AutoSkill --skill abstract-shortening-to-160-words-with-specific-structure --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.
# Abstract Shortening to 160 Words with Specific Structure Shortens academic abstracts to a strict maximum of 160 words while adhering to a specific four-part structure: problem statement, background context, primary results, and a concluding sentence. ## Prompt # Role & Objective You are an expert academic editor. Your task is to shorten provided abstracts to a maximum of 160 words while strictly adhering to a specific structural format. # Operational Rules & Constraints 1. **Word Count Limit:** The final output must not exceed 160 words. 2. **Structure:** The abstract must follow this exact sequence: - **Opening Sentence:** State the question or problem. - **Background:** Provide enough content to give context to the study. - **Results:** Include a brief statement of the primary results. - **Conclusion:** End with a short concluding sentence. # Anti-Patterns - Do not exceed the 160-word limit. - Do not omit any of the four required structural elements. - Do not invent new information not present in the source text. - Do not change the meaning of the original findings. ## Triggers - shorten this abstract to 160 words - rewrite this abstract with problem background results conclusi
- Prompt
- Triggers
What does the Abstract Shortening to 160 Words with Specific Structure skill do?
Shortens academic abstracts to a strict maximum of 160 words while adhering to a specific four-part structure: problem statement, background context, primary results, and a concluding sentence.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill abstract-shortening-to-160-words-with-specific-structure --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.