brycewang-stanford
brycewang-stanford/Auto-Empirical-Research-Skills
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 citation-alert-guide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.
基于 SOC 职业分类
正在显示 SKILL.md
| name | citation-alert-guide |
| description | Set up citation alerts and track new papers citing key references |
| metadata | {"openclaw":{"emoji":"🔔","category":"literature","subcategory":"discovery","keywords":["citation alerts","paper tracking","Google Scholar alerts","new citations","literature monitoring"],"source":"wentor-research-plugins"}} |
A skill for setting up automated citation alerts and tracking systems that notify you when key papers are cited, new articles match your research interests, or important journals publish relevant work.
| Platform | Alert Type | Coverage | Cost |
|---|---|---|---|
| Google Scholar | Citation alert, keyword alert | Broadest, includes preprints | Free |
| Web of Science | Citation alert, search alert, journal ToC | WoS-indexed journals | Institutional |
| Scopus | Citation alert, search alert, author alert | Scopus-indexed journals | Institutional |
| PubMed | Email alert (My NCBI) | Biomedical literature | Free |
| OpenAlex | Work tracking, author profiles, concept feeds | All disciplines | Free |
| ResearchGate | Author follow, recommendation | Member-uploaded papers | Free |
Citation Alert (track who cites a specific paper):
1. Search for the paper in Google Scholar
2. Click "Cited by N" under the result
3. Click the envelope icon ("Create alert")
4. Enter your email address
5. You will receive an email when new papers cite this work
Keyword Alert (track new papers matching a query):
1. Go to scholar.google.com/scholar_alerts
2. Click "Create alert"
3. Enter your search query (use quotes for phrases)
4. Enter your email address
5. Choose frequency: as-it-happens or weekly digest
def design_alert_system(research_topics: list[str],
key_papers: list[str],
key_authors: list[str]) -> dict:
"""
Design a comprehensive literature monitoring system.
Args:
research_topics: Core research interest phrases
key_papers: DOIs or titles of seminal papers to track
key_authors: Names of researchers to follow
"""
system = {
"citation_alerts": {
"platform": "Google Scholar + Web of Science",
"items": [
{"paper": p, "reason": "Seminal work in my area"}
for p in key_papers
],
"frequency": "as-it-happens"
},
"keyword_alerts": {
"platform": "Google Scholar + PubMed",
"queries": research_topics,
"frequency": "weekly"
},
"author_alerts": {
"platform": "OpenAlex + Scopus",
"authors": key_authors,
"frequency": "monthly"
},
"journal_toc_alerts": {
"platform": "Web of Science or journal website",
"note": "Subscribe to table-of-contents for top 3-5 journals"
}
}
return system
Daily (5 minutes):
- Skim citation alert emails
- Star/flag relevant hits in your reference manager
Weekly (30 minutes):
- Review keyword alert digests
- Scan journal ToC for top 3 journals
- Add promising papers to "To Read" folder
Monthly (1 hour):
- Review author alerts for new publications from key groups
- Update keyword queries if your focus has shifted
- Prune alerts that are no longer relevant
When alerts generate too many results, refine your strategy:
1. Narrow keyword queries:
Before: "machine learning"
After: "machine learning" AND "protein folding"
2. Use field restrictions:
PubMed: "deep learning"[Title] AND "radiology"[MeSH]
3. Limit to high-impact sources:
Web of Science: Set alert with journal filter
4. Consolidate with an RSS reader:
- Export alerts to RSS where supported
- Use Feedly, Inoreader, or Zotero's feed reader
- Group feeds by topic for efficient scanning
Most reference managers support alert integration:
1. Run your search in PubMed
2. Click "Save" below the search bar
3. Sign in to My NCBI (free account)
4. Name your search
5. Set schedule: daily, weekly, or monthly
6. Set format: summary, abstract, or full
7. PubMed emails you new results matching your saved search
This is particularly valuable for systematic review updates, where you need to re-run the exact same search periodically to capture newly published studies.