| name | literature-review |
| description | 科研文献综述技能。当用户提到"综述"、"survey"、"find papers"、
"文献调研"、"文献检索"时自动触发。支持多数据源检索和结果综合。
|
| triggers | ["综述","survey","find papers","文献调研","文献检索","review papers","调研"] |
| domain | academic_writing |
| version | 1.0 |
Literature Review Skill
Overview
This skill helps researchers conduct comprehensive literature reviews by searching multiple academic databases and synthesizing findings.
Trigger Conditions
- User mentions "文献综述", "综述", "survey"
- Tasks involving academic paper search and analysis
- Requests for research background investigation
Workflow
Step 1: Query Understanding
Analyze the user's research topic and extract key concepts:
- Main research area
- Specific focus or questions
- Time range preferences
- Language preferences
Step 2: Multi-Source Search
Execute searches across multiple databases:
- ArXiv (preprints, latest research)
- Semantic Scholar (comprehensive coverage)
Script: scripts/search_papers.py
Step 3: Result Synthesis
Aggregate and analyze search results:
- Deduplicate papers across sources
- Rank by relevance and citations
- Identify key themes and gaps
See: SEARCH_STRATEGIES.md for advanced techniques
See: SYNTHESIS_GUIDE.md for synthesis methodology
Output Format
{
"query": "original search query",
"papers": [
{
"title": "Paper Title",
"authors": ["Author 1", "Author 2"],
"year": 2024,
"summary": "Brief abstract",
"url": "https://...",
"relevance": "high"
}
],
"synthesis": {
"themes": ["Theme 1", "Theme 2"],
"gaps": ["Gap 1"],
"recommendations": ["Recommendation 1"]
}
}
Best Practices
- Start with broad searches, then narrow down
- Cross-reference findings across sources
- Prioritize recent, highly-cited papers
- Look for review articles first for overview