Academic Deep Research is a specialized skill designed for users requiring rigorous, transparent, and reproducible investigations rather than simple AI summaries. It utilizes a systematic three-phase workflow—including mandatory clarification and planning stages—to ensure alignment before executing deep-dive research cycles. By mandating multiple sources per claim, cross-referencing contradictions, and producing high-quality narrative reports with APA 7th edition citations, this skill transforms Claude into a methodical research assistant suitable for academic literature reviews, competitive intelligence, and complex trend analysis.
主要功能
01Multi-source verification and contradiction analysis
021,989 GitHub stars
03Mandated 2-cycle research per theme for maximum depth
04Transparent evidence trail with APA 7th edition citations
05Narrative-style final reports for academic-grade quality
06Three-phase workflow with explicit user checkpoints
使用场景
01Investigating complex scientific or technical topics requiring multi-source verification
02Generating comprehensive academic literature reviews
03Performing deep-dive competitive market intelligence