What problem does it solve? Shallow single-source answers often miss contradictions, outdated facts, and hidden biases. This Skill enforces a rigorous research methodology so every report is traceable, cross-verified, and confidence-scored. ## Core Features & Use Cases - Domain-Specific Research Guides: Tailored protocols for AI/ML, current news, technical evaluations, business strategy, and regulatory compliance topics. - Adversarial Quality Checklist: Verifies source authority, recency, opposing perspectives, contradictions, and alternative hypotheses (ACH) before delivery. - Normalized Report Output: Produces structured reports with per-claim confidence levels, BLUF conclusions, knowledge gaps, and full research metadata. - Use Case: Ask for a deep analysis of a new AI framework, and receive a report cross-referencing official docs, GitHub activity, community feedback, and benchmarks with declared confidence levels. ## Quick Start Ask the assistant to research a topic in depth, for example: "Pesquise a fundo sobre o estado atual de modelos de linguagem open-source."
