research-supplement

What problem does it solve?

The skill helps researchers organize local materials and perform structured deep-dive analysis on selected topics, reducing time spent on topic framing, literature gathering, and gap identification.

Core Features & Use Cases

• Local data triage: index and summarize books, notes, and project documents to surface core concepts and relationships.
• Deep literature synthesis: combine multi-source evidence (papers, reports, MCP outputs) to form coherent topic insights and identify knowledge gaps.
• Phase-two research workflow: coordinate topic selection, clustering results, and evidence-based aims for phase-two research.
• Output ready: generate topic summaries, rationale, and citation-ready fragments for proposal or manuscript.

Quick Start

Instruct the AI to start a deep-dive on a chosen topic by asking for a local data scan and literature synthesis for that topic.