Literature 搜索
- 作者仓库星标 13,134
- 作者仓库 AutoResearchClaw
Literature Search Best Practice
Search Strategy Design
- Define research question using PICO framework (Population, Intervention, Comparison, Outcome)
- Identify 2-4 core concepts from the research question
- List synonyms, abbreviations, and related terms for each concept
- Combine terms with Boolean operators: AND (between concepts), OR (within synonyms)
- Select at least 3 complementary databases relevant to the domain:
- Biomedical: PubMed, Scopus, Web of Science
- Computer science: arXiv, Semantic Scholar, DBLP, ACL Anthology
- Interdisciplinary: Google Scholar, OpenAlex
- Document exact search strings for reproducibility
Inclusion and Exclusion Criteria
- Define date range (e.g., last 5-10 years for rapidly evolving fields)
- Specify language restrictions (typically English)
- Specify publication types (peer-reviewed, preprints, conference papers)
- Define study design requirements (RCTs, observational, computational)
- Set domain-specific filters (species, methodology, sample size)
- Document all criteria BEFORE screening begins
PRISMA Methodology
- Record total hits from each database before deduplication
- Remove duplicates and record count
- Screen titles and abstracts against inclusion criteria (record excluded count)
- Full-text review of remaining papers (record excluded with reasons)
- Report final included studies with PRISMA flow diagram
- For scoping reviews, use PRISMA-ScR extension
Screening and Quality Assessment
- Use two-pass screening: title/abstract first, then full text
- Apply quality assessment tools appropriate to study type:
- RCTs: Cochrane Risk of Bias tool
- Observational: Newcastle-Ottawa Scale
- ML papers: check reproducibility, dataset validity, statistical rigor
- Extract data systematically using a predefined extraction form
Synthesis Approaches
- Narrative synthesis: Organize findings thematically, identify patterns and contradictions
- Meta-analysis: Pool quantitative results when studies are sufficiently homogeneous
- Gap analysis: Explicitly identify what is NOT covered in the literature
- Summarize key findings per theme with supporting citation counts
- Highlight conflicting results and possible explanations
- End with clear statement of research gaps that motivate your study
- 流狐分类
- 写作
- 作者声明 Agent
- 未找到明确声明;不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描,不代表运行安全
- 作者 / 版本 / 许可
- @aiming-lab · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 即装即用
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无(仅作为资料)
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Literature Search Best Practice
Define research question using PICO framework (Population, Intervention, Comparison, Outcome) Identify 2-4 core concepts from the research question List synonyms, abbreviations, and related terms for each concept
Define date range (e.g., last 5-10 years for rapidly evolving fields) Specify language restrictions (typically English) Specify publication types (peer-reviewed, preprints, conference papers)
Record total hits from each database before deduplication Remove duplicates and record count Screen titles and abstracts against inclusion criteria (record excluded count)
Use two-pass screening: title/abstract first, then full text Apply quality assessment tools appropriate to study type: RCTs: Cochrane Risk of Bias tool
Narrative synthesis: Organize findings thematically, identify patterns and contradictions Meta-analysis: Pool quantitative results when studies are sufficiently homogeneous Gap analysis: Explicitly identify what is NOT covered in the literature
## Literature Search Best Practice
### Search Strategy Design
1. Define research question using PICO framework (Population, Intervention, Comparison, Outcome)
2. Identify 2-4 core concepts from the research question
3. List synonyms, abbreviations, and related terms for each concept
4. Combine terms with Boolean operators: AND (between concepts), OR (within synonyms)
5. Select at least 3 complementary databases relevant to the domain:
- Biomedical: PubMed, Scopus, Web of Science
- Computer science: arXiv, Semantic Scholar, DBLP, ACL Anthology
- Interdisciplinary: Google Scholar, OpenAlex
6. Document exact search strings for reproducibility
### Inclusion and Exclusion Criteria
1. Define date range (e.g., last 5-10 years for rapidly evolving fields)
2. Specify language restrictions (typically English)
3. Specify publication types (peer-reviewed, preprints, conference papers)
4. Define study design requirements (RCTs, observational, computational)
5. Set domain-specific filters (species, methodology, sample size)
6. Document all criteria BEFORE screening begins
### PRISMA Methodology
1. Record total hits from each database before deduplication
2. Remove duplicates and record count
3. Screen titles and abstracts against inclusion criteria (record excluded count)
4. Full-text review of remaining papers (record excluded with reasons)
5. Report final included studies with PRISMA flow diagram
6. For scoping reviews, use PRISMA-ScR extension
### Screening and Quality Assessment
1. Use two-pass screening: title/abstract first, then full text
2. Apply quality assessment tools appropriate to study type:
- RCTs: Cochrane Risk of Bias tool
- Observational: Newcastle-Ottawa Scale
- ML papers: check reproducibility, dataset validity, statistical rigor
… 作者原文负责流程事实;流狐只索引当前章节、要点、文件与命令。
章节 -> Literature Search Best Practice → Search Strategy Design → Inclusion and Exclusion Criteria → PRISMA Methodology → Screening and Quality Assessment → Synthesis Approaches
要点 -> Narrative synthesis · Meta-analysis · Gap analysis
文件/命令 -> title/abstract
内容 SHA-256 -> 64f1337a3826
方法与流程
适用与边界
原文中的明确线索
title/abstract