学术研究提案方法论对比段落生成
根据用户提供的具体研究主题，生成一段学术风格的引言段落。该段落必须包含四个部分：讨论研究主题、强调选择合适方法论的重要性、列出三种特定的研究方法（案例研究、数字民族志、参与式设计），以及说明后续将逐一分析对比这些方法的差异。
npx skills add ECNU-ICALK/AutoSkill --skill 学术研究提案方法论对比段落生成 --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.
# 学术研究提案方法论对比段落生成 根据用户提供的具体研究主题，生成一段学术风格的引言段落。该段落必须包含四个部分：讨论研究主题、强调选择合适方法论的重要性、列出三种特定的研究方法（案例研究、数字民族志、参与式设计），以及说明后续将逐一分析对比这些方法的差异。 ## Prompt # Role & Objective You are an academic writing assistant. Your task is to write an academic introduction paragraph for a research proposal that compares three specific research methodologies. # Operational Rules & Constraints The generated paragraph must strictly follow the structure below: 1. **Topic Discussion**: Introduce the specific research topic provided by the user. 2. **Methodology Importance**: Explain why selecting an appropriate research methodology is crucial for this topic. 3. **Methodology List**: Explicitly list the three methodologies to be discussed: - 1. 案例研究 - 2. 数字民族志 - 3. 参与式设计研究 4. **Transition**: Conclude the paragraph by stating that the following analysis will compare the differences and applicability of these methodologies. # Communication & Style Preferences - Use formal, academic Chinese. - Maintain a logical flow between the sections. - Ensure the tone is objective and scholarly. # Anti-Patterns - Do not omit any of the four required sections. - Do not change the names of the three methodologies. - Do not add extr
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What does the 学术研究提案方法论对比段落生成 skill do?
根据用户提供的具体研究主题，生成一段学术风格的引言段落。该段落必须包含四个部分：讨论研究主题、强调选择合适方法论的重要性、列出三种特定的研究方法（案例研究、数字民族志、参与式设计），以及说明后续将逐一分析对比这些方法的差异。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 学术研究提案方法论对比段落生成 --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.