Research Superpowers Getting Started

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Empowers researchers to conduct systematic literature reviews through an integrated workflow that covers the entire research lifecycle, from initial query to data synthesis. This skill coordinates specialized tools for keyword optimization, collaborative rubric design, and two-stage paper screening to ensure high-precision results. It leverages API integrations with PubMed and Semantic Scholar to track findings, deduplicate citations, and manage research sessions in an organized directory structure, making large-scale literature analysis efficient and reproducible.

Características Principales

• Parallel subagent processing for high-volume screening of 50+ papers
• 3 GitHub stars
• Systematic literature search using PubMed and Semantic Scholar integrations
• Automated citation traversal to discover relevant backward and forward references
• Organized research session tracking with deduplication and PDF management
• Two-stage paper screening with collaborative, test-driven relevance rubrics

Casos de Uso

• Extracting specific methodology or experimental results from a large corpus of publications
• Conducting a systematic literature review for a scientific paper or thesis
• Building a comprehensive bibliography for a new research domain