What problem does it solve? Finding current, well-cited research information requires manually searching multiple databases and verifying source quality. This Skill automates research lookups by routing queries to the appropriate backend—Parallel Chat API for general research or Perplexity sonar-pro-search for academic paper searches—and returns cited, structured results. ## Core Features & Use Cases - Automatic Backend Routing: Detects academic keywords (papers, DOI, peer-reviewed, systematic review) and routes to Perplexity; all other queries go to the Parallel Chat API core model. - Quality-Prioritized Paper Search: Ranks papers by citation count, venue tier (Nature, Science, NeurIPS, etc.), and author reputation, returning 5-8 citations with DOIs. - Mandatory Result Archiving: Saves every lookup to a sources/ folder with preserved citations, URLs, and DOIs for reproducibility and reuse. - Use Case: While writing a scientific paper's introduction, ask for recent advances in your topic; the Skill returns a cited research report saved to sources/research_<topic>.md for later reference. ## Quick Start Set the PARALLEL_API_KEY and OPENROUTER_API_KEY environment variables, then ask the assistant to research recent advances in your topic and save the results to the sources folder.
