semantic-scholar-deep

What problem does it solve?

Semantic Scholar often lacks in-depth backward references, forward citations, batch lookups, and multi-hop citation graphs. This Skill orchestrates Exa MCP discovery, fast S2 metadata retrieval, and a token-isolated deep-research workflow to fill those gaps and produce compact reports.

Core Features & Use Cases

• Inline usage: fetch references, recommendations, or batch lookups for a seed paper, or snippet search across the corpus.
• Delegated deep research: use the bundled deep-paper-researcher subagent to run literature reviews, seed-expansion, and citation-graph analyses without cluttering the main context.
• Output hygiene: produce concise, ranked reports (not raw API dumps) and optional graph artifacts.

Quick Start

Run the inline commands to fetch references or recommendations for a paper, or delegate multi-step literature reviews to the deep-paper-researcher for a structured report.