Orchestrates multi-agent web research sessions to generate hallucination-resistant reports with verified citations.
This skill transforms ad-hoc web searches into a structured, repeatable research pipeline designed for building high-stakes SaaS products. It leverages a multi-agent architecture where specialized worker, verifier, and synthesizer agents collaborate to decompose complex queries, evaluate source credibility across six tiers, and prevent hallucinations through rigorous citation verification. By automating the transition from information gathering to verifiable reporting, it ensures that every claim is backed by high-quality primary and secondary sources, making it indispensable for technical due diligence and market analysis.
主要功能
01Multi-agent orchestration using specialized worker, verifier, and synthesizer agents
02Dynamic query decomposition for complex, multi-faceted research topics
03Automated hallucination prevention with circuit breaker patterns and citation checks
04Tiered source evaluation (T1-T6) to prioritize high-quality primary data
05Comprehensive reporting with verifiable claims tables and confidence scoring
069 GitHub stars
使用场景
01Performing market analysis and competitor research for SaaS product development
02Conducting deep technical research on new frameworks or architectural patterns
03Verifying technical claims and gathering primary sources for documentation
