Research Summarizer
Transforms dense research papers, articles, and reports into structured, actionable briefs with accurate citations.
The Research Summarizer skill provides a repeatable framework for turning complex source materials—such as academic papers, technical reports, and web articles—into structured summaries. Unlike generic summarization tools, it utilizes domain-specific structures like IMRAD for academia or claim-evidence-implication for web content. It enables users to perform side-by-side source comparisons, extract citations in multiple formats (APA, IEEE, MLA), and assess the quality of evidence, making it an essential tool for product managers, researchers, and analysts who need to synthesize high volumes of information quickly.
主な機能
0111,245 GitHub stars
02Automated citation extraction and formatting for APA, IEEE, Chicago, and MLA styles
03Multi-source comparison for 2-5 documents with synthesis of consensus and gaps
04Proactive alerts for outdated sources, missing metadata, or conflicting data
05Quality assessment framework to rate source credibility, evidence, and objectivity
06Structured summarization using domain-specific templates like IMRAD and executive summaries
ユースケース
01Comparing multiple market reports to identify industry trends and consensus
02Extracting and formatting bibliographies for technical documentation
03Synthesizing academic literature for whitepapers or product strategy