What problem does it solve? Research briefs produced by Bots often present unverified claims as settled facts, letting a single weak source carry an entire conclusion without anyone noticing. This Skill enforces source grading so every substantive claim is traceable and rated. ## Core Features & Use Cases - Dual-brief research: Runs the research question twice (or two adjacent sub-questions) through the Perplexity surface to expose convergence and conflicts instead of trusting one answer. - Source grading: Marks every source as strong, adequate, or weak, and downgrades claims resting only on weak or community sources to unverified leads. - Structured synthesis: Merges both briefs into settled claims, open conflicts with both sides named, and explicit gaps, ending with the most decision-relevant claim. - Use Case: A founder asks for a deep brief comparing two vendor platforms; the Skill runs two Perplexity queries, grades each cited source, and returns a brief where every claim carries a named source and grade. ## Quick Start Ask the Bot to research a topic deeply using the perplexity-deep skill and return a brief with every claim graded against its sources.