multi-source-paper-search

What problem does it solve?

This Skill solves the challenge of discovering literature by scanning multiple sources at once and producing a single, cited synthesis report. It reduces bias and gap risk by cross-validating results across OpenAlex, Semantic Scholar, arXiv (Valyu), and Perplexity, enabling comprehensive triangulation of findings.

Core Features & Use Cases

• Deterministic deduplication across sources using DOI/arXiv-id/title via union-find.
• Cross-source synthesis that highlights consensus and divergence, with source attribution.
• Standalone usage via scripts/fanout.py that returns a JSON payload including papers, sources_used, skipped_sources, and perplexity narrative.
• Use cases include literature reviews, rapid scoping for grant proposals, and risk/replication checks across disciplines.

Quick Start

Ask for a cross-source literature scan on a topic and receive a consolidated consensus report.