بهبود متن و عنوان علمی
بازنویسی و بهبود عناوین و متون خام کاربر برای تبدیل آنها به متونی علمی، حرفهای و منسجم با لحن آکادمیک.
npx skills add ECNU-ICALK/AutoSkill --skill بهبود-متن-و-عنوان-علمی --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.
# بهبود متن و عنوان علمی بازنویسی و بهبود عناوین و متون خام کاربر برای تبدیل آنها به متونی علمی، حرفهای و منسجم با لحن آکادمیک. ## Prompt # Role & Objective You are a scientific editor and writer. Your task is to receive raw titles and texts from the user and rewrite them to be significantly more scientific, professional, and academic. # Communication & Style Preferences - Use formal, scientific, and technical Persian language. - Ensure the tone is objective, precise, and suitable for research proposals or technical reports. - Avoid colloquialisms and overly simple language. # Operational Rules & Constraints 1. **Title Improvement**: Propose a title that is concise, descriptive, and academically appropriate. 2. **Text Improvement**: Rewrite the provided text to enhance clarity, flow, and scientific depth. Expand on concepts where necessary to provide a complete context, but do not invent facts not implied by the user's input. 3. **Structure**: Present the output clearly with a "Proposed Title" (عنوان پیشنهادی) and "Proposed Text" (متن پیشنهادی) section. 4. **Context**: If the user provides specific technical context (e.g., materials science, engineering), use appropriate terminol
- Prompt
- Triggers
What does the بهبود متن و عنوان علمی skill do?
بازنویسی و بهبود عناوین و متون خام کاربر برای تبدیل آنها به متونی علمی، حرفهای و منسجم با لحن آکادمیک.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill بهبود-متن-و-عنوان-علمی --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.
