Agent skill · Code Review & Quality

literature-review

帮助用户撰写高质量的文献综述类论文。提供从选题、文献检索、评估筛选、结构规划到最终写作的全流程指导。适用于需要撰写独立文献综述论文或学术论文中文献综述部分的用户。

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill 36-taoyunudt-literature-review-skill --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/36-taoyunudt-literature-review-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

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

From the SKILL.md

# 文献综述写作 Skill 帮助用户撰写高质量的学术文献综述,提供系统性的方法论指导和写作框架。 ## 核心理念 1. **系统性方法** — 遵循五步法,从文献搜索到最终写作 2. **批判性思维** — 不仅总结,更要分析、综合和批判性评估 3. **结构化组织** — 根据主题特点选择最佳的组织结构 4. **填补空白** — 最终目标是发现研究空白并提出未来方向 --- ## 什么是文献综述 文献综述是指在某一时间段内,对某一领域、某一专业或某一方面的课题、问题或研究专题搜集大量相关数据、资料和主要观点,然后通过阅读、分析提炼、归纳整理当前课题、问题或研究专题的最新进展、学术见解或建议,对其做出综合性介绍和阐述的一种学术论文。 ### 文献综述的目的 - 展示作者对研究和学术背景的熟悉程度 - 为作者本人的研究建立理论框架和方法 - 将作者本人与本领域其他研究人员和科研工作联系起

More from Auto-Empirical-Research-Skills
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About this skill
What does the literature-review skill do?

帮助用户撰写高质量的文献综述类论文。提供从选题、文献检索、评估筛选、结构规划到最终写作的全流程指导。适用于需要撰写独立文献综述论文或学术论文中文献综述部分的用户。

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill 36-taoyunudt-literature-review-skill --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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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