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- brycewang-stanford/Auto-Empirical-Research-Skills
- 最近来源活动
- 2026年4月3日 02:07
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安装方式
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
检查来源文件
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
菜单
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills --skill literature-review-writing命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
中英双语学术降 AIGC / bilingual academic de-AIGC skill. Removes AI-generated writing signatures from empirical papers in economics, management, and the social sciences — in both English and Chinese. Covers Turnitin AI, GPTZero, Originality.ai on the English side and 知网 AMLC, 万方, 维普 on the Chinese side. Uses a six-step loop (intake → audit → claim-evidence check → differentiated rewrite → five-dimension self-score → cold-reader recheck) with two pattern libraries (22 English + 17 Chinese patterns), section-by-section strategies for empirical papers, and hard protections that keep every number, coefficient, and citation intact.
Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.
正在显示 SKILL.md
基于 SOC 职业分类
| name | literature-review-writing |
| description | Structure and write comprehensive literature reviews for any field |
| metadata | {"openclaw":{"emoji":"📜","category":"writing","subcategory":"composition","keywords":["literature review","systematic review","narrative review","synthesis","academic writing","review paper"],"source":"wentor-research-plugins"}} |
A skill for structuring, synthesizing, and writing literature reviews. Covers narrative reviews, systematic reviews, scoping reviews, and literature review sections within empirical papers. Provides frameworks for organizing sources, identifying themes, and writing with synthesis rather than summary.
| Type | Purpose | Search | Analysis | Length |
|---|---|---|---|---|
| Narrative | Broad overview of a topic | Selective | Qualitative synthesis | 5-30 pages |
| Systematic | Answer a specific question exhaustively | Exhaustive, documented | May include meta-analysis | 10-40 pages |
| Scoping | Map the extent of research on a topic | Broad, systematic | Charting and categorizing | 10-20 pages |
| Integrative | Synthesize diverse methodologies | Targeted | Conceptual synthesis | 10-25 pages |
| Umbrella | Review of systematic reviews | Focused on SRs | Synthesis of syntheses | 10-20 pages |
def create_literature_matrix(sources: list[dict]) -> dict:
"""
Create a structured matrix for organizing reviewed literature.
Args:
sources: List of dicts with keys: author, year, title, method,
sample, key_findings, themes, limitations
"""
matrix = {
"headers": [
"Author (Year)", "Research Question", "Method",
"Sample/Data", "Key Findings", "Themes", "Limitations"
],
"rows": [],
"theme_index": {}
}
for src in sources:
row = {
"citation": f"{src['author']} ({src['year']})",
"question": src.get("research_question", ""),
"method": src.get("method", ""),
"sample": src.get("sample", ""),
"findings": src.get("key_findings", ""),
"themes": src.get("themes", []),
"limitations": src.get("limitations", "")
}
matrix["rows"].append(row)
for theme in src.get("themes", []):
matrix[].setdefault(theme, []).append(
row[]
)
matrix
Chronological (rarely ideal for reviews):
"In 2010, Smith found X. Then in 2012, Jones found Y.
In 2015, Lee found Z."
Problem: Reads like an annotated bibliography, not a synthesis.
Thematic (recommended):
"Three factors have been identified as predictors of X.
First, [factor A] has been consistently supported (Smith, 2010;
Jones, 2012; Lee, 2015). Second, [factor B] shows mixed results..."
Advantage: Synthesizes findings around conceptual themes.
Methodological (useful for systematic reviews):
"Studies using qualitative methods (n=12) found [pattern],
while quantitative studies (n=25) reported [different pattern].
This methodological divide suggests..."
Summary (weak -- describes one paper at a time):
"Smith (2020) studied 200 undergraduates and found that sleep
quality predicted academic performance. Jones (2021) surveyed
150 graduate students and found a similar relationship."
Synthesis (strong -- integrates multiple sources around a point):
"Sleep quality has been consistently linked to academic performance
across both undergraduate (Smith, 2020; Lee, 2019) and graduate
(Jones, 2021) populations, with effect sizes ranging from r=0.25
to r=0.42. However, this relationship may be confounded by
socioeconomic factors (Park, 2022), which only two studies
controlled for."
Agreement:
"There is broad consensus that..."
"Multiple studies converge on the finding that..."
"This finding has been replicated across [contexts]..."
Disagreement:
"However, findings diverge regarding..."
"In contrast to the majority view, [author] argues..."
"The evidence is mixed, with some studies reporting [X] and others [Y]..."
Gap identification:
"Notably absent from this literature is..."
"While [aspect] has been well studied, [gap] remains unexplored..."
"No studies to date have examined [specific gap]..."
Transition:
"Taken together, these findings suggest..."
"Building on this body of work, recent studies have begun to..."
"This line of research has evolved from [earlier focus] to [current focus]..."
1. Introduction (1-2 pages)
- Define the topic and scope
- Explain why this review is needed (gap, timeliness, controversy)
- State the review's objectives or research questions
2. Methods (for systematic/scoping reviews)
- Search strategy, databases, date range
- Inclusion/exclusion criteria
- Screening process (PRISMA flow diagram)
3. Body: Thematic Sections (bulk of the review)
- Each section covers a theme, construct, or sub-question
- Synthesize rather than summarize
- Use tables to compare studies when appropriate
4. Discussion / Synthesis
- What is the overall state of knowledge?
- Where do studies agree and disagree?
- What are the gaps?
5. Conclusion / Future Directions
- Summarize the key takeaways
- Propose a research agenda addressing identified gaps
Problem: "Laundry list" structure
- Each paragraph describes one study in isolation
Fix: Group studies by theme and synthesize across them
Problem: Missing recent literature
- Review stops at 2020 in a fast-moving field
Fix: Search within the last 12 months before submission
Problem: Uncritical acceptance
- All studies treated as equally valid
Fix: Evaluate methodological quality and note study limitations
Problem: No conceptual framework
- Sources listed without a guiding structure
Fix: Start with a framework (theoretical, conceptual, or thematic map)
Problem: Omitting contradictory evidence
- Only citing studies that support the authors' position
Fix: Actively seek and discuss disconfirming evidence