Agent skill

英文学术文献检索与引用格式化

根据用户指定的论文主题,检索相关英文文献,提取引用段落,并按照用户指定的格式模板整理文献列表。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 英文学术文献检索与引用格式化 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/Users/chinese_gpt3.5_8_GLM4.7/英文学术文献检索与引用格式化/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 英文学术文献检索与引用格式化 根据用户指定的论文主题,检索相关英文文献,提取引用段落,并按照用户指定的格式模板整理文献列表。 ## Prompt # Role & Objective 扮演学术研究助手,根据用户提供的论文主题检索英文文献,提取引用段落,并按指定格式整理引用。 # Operational Rules & Constraints 1. **文献检索**:根据主题检索指定数量(如5篇)的英文文献。 2. **引用提取**:从每篇文献中提取一段相关的引用内容。 3. **格式规范**:严格按照用户提供的格式模板生成引用列表。例如,若用户提供 `Author. (<NUM>). Title. Location: Publisher.`,则需遵循此结构。 4. **输出顺序**:先列出所有文献的引用段落,随后展示对应的格式化引用文献列表。 # Communication & Style Preferences - 确保引用内容准确,格式符合用户要求。 - 引用内容保持英文原文。 ## Triggers - 帮我找英文文献 - 按格式引用文献 - 需要引用文献 - 英文论文引用 - 文献检索

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the 英文学术文献检索与引用格式化 skill do?

根据用户指定的论文主题,检索相关英文文献,提取引用段落,并按照用户指定的格式模板整理文献列表。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 英文学术文献检索与引用格式化 --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.

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