Iván

Scholar

知识管理v1.0.0
作者:Iván更新于 2026-05-11scholar@clawhub_ivangdavila/scholar
知识库问答信息检索

据 AlphaMoat 统计,截至 2026-09,Scholar 累计下载 4,734 次、获 6 个星标,在全部 5,078 个 AI 技能中排名第 1,996 位,在「知识管理」分类(442 个)中排名第 187 位。

累计安装
526
累计下载
4,734
星标
6
全站排名
#1,996
全站前 40% · 「知识管理」前 43%
平台累计安装累计下载星标评论
ClawHub ↗1404,3693-
SkillHub ↗5264,7346—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

该技能提供 Google Scholar 学术文献检索的实用规则,涵盖查询构造、时间筛选、结果解读、全文获取、引用分析、提醒追踪,以及局限性认知与来源评估。它声明支持多种操作系统,是一个纯检索指南类技能,不依赖二进制或密钥。 这是手动使用 Scholar 的检索指南,不会自动检索全文或判断质量。引用前核对论文与发表来源。

资料发布于 2026-10-27

可以用来做什么

  • 构造带引号与排除词的精确检索式
  • 按时间筛选最新研究
  • 分析作者引用与来源声誉

什么时候用

  • 需要检索学术文献或综述时
  • 评估文献质量与可信度时
  • 追踪某主题的新论文时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

用 Google Scholar 检索某个主题的最新论文
帮我构造排除无关词的检索式
评估某篇论文的来源是否可信

月度数据趋势

累计下载4,734
2,4003,6544,9072026-03 · 累计下载 2,5732026-05 · 累计下载 3,3562026-06 · 累计下载 3,5522026-07 · 累计下载 3,9202026-08 · 累计下载 4,1662026-09 · 累计下载 4,73426-0326-09
星标6
3562026-03 · 星标 32026-05 · 星标 52026-06 · 星标 32026-07 · 星标 62026-08 · 星标 62026-09 · 星标 626-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,734—6
2026-084,166+6.3%6
2026-073,920+10.4%6
2026-063,552+5.8%3
2026-053,356—5
2026-032,573—3

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

4.0 KB · ClawHub v1.0.0
---
name: Scholar
description: Search academic literature with Google Scholar using effective queries, citations, and filters.
metadata: {"clawdbot":{"emoji":"🎓","os":["linux","darwin","win32"]}}
---

# Google Scholar Research Rules

## Query Construction
- Exact phrases in quotes: "machine learning" finds the phrase, not separate words
展开全部(共 78 行)
- Exclude terms with minus: neural networks -deep removes deep learning results
- OR for alternatives: "global warming" OR "climate change" — must be uppercase
- author: operator for specific researchers: author:"Y LeCun"
- source: for specific journals: source:"Nature" quantum computing
- intitle: forces term in title: intitle:transformer attention

## Time Filters
- Custom range critical for recent research — default shows highly cited old papers first
- "Since 2023" for cutting-edge but less vetted work
- "Since 2020" balances recency and citation accumulation
- Sort by date for newest, sort by relevance for most cited — toggle based on need

## Understanding Results
- Citation count indicates influence, not quality — popular isn't always right
- "Cited by X" link shows who built on this work — follow research forward
- "Related articles" finds similar work — useful after finding one good paper
- Versions link shows preprints and alternate copies — often free when journal isn't
- Quotation marks in snippet show exact matches — verify relevance before clicking

## Finding Full Text
- Check "All versions" for free copies — preprints, institutional repositories
- Add filetype:pdf to find direct PDF links
- Unpaywall browser extension auto-finds legal free versions
- Request from authors directly — most will share, academia.edu and ResearchGate common
- Institutional access through library proxy — VPN to university network

## Citation Analysis
- h-index visible on author profiles — measures productivity and impact
- "Cited by" sorted by relevance shows most influential citations
- Citation count alone misleads — review papers cite heavily but add less
- Self-citations inflate metrics — check who's actually citing
- Recent citations more meaningful for living research — old papers cited by habit

## Alerts and Tracking
- Create alerts for search terms — email when new papers match
- Follow researchers via profiles — notifications for new publications
- "Cite" button exports to reference managers — BibTeX, EndNote, RefMan
- Save to library requires Google account — organizes papers for later

## Limitations to Know
- Coverage biased toward English and STEM — humanities and non-English underrepresented
- No quality filter — predatory journals appear alongside legitimate ones
- Older papers may not be indexed — pre-digital era incomplete
- Cannot search full text — only titles, abstracts, and metadata
- Ranking algorithm opaque — not always clear why results ordered as shown

## Evaluating Sources
- Check journal reputation before trusting — impact factor as rough guide
- Preprints not peer-reviewed — valuable for speed, treat as preliminary
- Conference papers vary by field — top-tier in CS, lower status in medicine
- Retracted papers may still appear — verify paper status before citing
- Thesis and dissertations are gray literature — use cautiously

## Search Strategies
- Start broad, narrow with filters — missing papers worse than sorting many
- Combine Scholar with domain databases — PubMed for medicine, IEEE for engineering
- Snowball: find one good paper, explore its citations and references
- Check review papers for comprehensive coverage — synthesize existing knowledge
- Multiple queries with synonyms — terminology varies across disciplines

## Common Mistakes
- Trusting citation count as quality measure
- Ignoring publication date — fields evolve, old papers may be outdated
- Stopping at first page of results — good papers may be buried
- Not checking for retractions or corrections
- Citing papers based only on abstract — always read methodology
- Missing preprint versions that are freely available

「知识管理」分类下的热门技能

Iván 的其他技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。