What problem does it solve?
This Skill enables researchers to obtain current scholarly information via OpenRouter's Perplexity Sonar models, with automatic model selection and citation-rich outputs. It automates model selection based on query complexity, prioritizes high-quality academic sources, and delivers structured citations suitable for academic writing.
Core Features & Use Cases
- Academic search: retrieve recent peer-reviewed papers, reviews, and citations with DOIs and venue information.
- Synthesis & analysis: support comparative studies and multi-source synthesis with structured summaries.
- Citation management: output includes DOIs, URLs, and venue hierarchy indicators for easy manuscript integration.
- Workflow integration: results are organized for seamless inclusion in scientific writing workflows and tooling.
Quick Start
Run a quick lookup:
python scripts/research_lookup.py "Recent advances in CRISPR gene editing 2024"
For batch queries:
python scripts/research_lookup.py --batch "CRISPR gene editing" "quantum computing error correction" "AI in healthcare"