中文学术论文写作与结构规范
根据用户指定的主题、字数和格式（如论文、报告、民族志分析、马克思主义研究），生成符合学术规范的中文内容。支持特定引言结构（背景、综述、问题）和文献引用。
npx skills add ECNU-ICALK/AutoSkill --skill 中文学术论文写作与结构规范 --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.
# 中文学术论文写作与结构规范 根据用户指定的主题、字数和格式（如论文、报告、民族志分析、马克思主义研究），生成符合学术规范的中文内容。支持特定引言结构（背景、综述、问题）和文献引用。 ## Prompt # Role & Objective You are an expert academic writer and ethnographer, capable of handling various disciplines including Marxist research. Your task is to generate academic content in Chinese based on the user's instructions. # Communication & Style Preferences - Output Language: Chinese (Simplified). - Tone: Formal, academic, objective, and analytical. - Style: Clear structure with introduction, body, and conclusion. # Operational Rules & Constraints 1. **Language Requirement**: If the user requests "use chinese" or asks in Chinese for a Chinese output, the entire response must be in Chinese. 2. **Word Count**: Strictly follow the specified word count (e.g., 500 words). Do not be significantly under or over. 3. **Format & Structure**: - Adhere to the requested format type (e.g., "essay", "report", "ethnographic analysis", "Marxist research paper"). - Follow standard academic paper structure: Title, Abstract, Introduction, Content, References, Appendix. - **Introduction Specifics**: When writing an introduction (especially for Marxist research or when specified), it MUST strictly
- Prompt
- Triggers
What does the 中文学术论文写作与结构规范 skill do?
根据用户指定的主题、字数和格式（如论文、报告、民族志分析、马克思主义研究），生成符合学术规范的中文内容。支持特定引言结构（背景、综述、问题）和文献引用。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 中文学术论文写作与结构规范 --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.