What problem does it solve? Most AI research outputs are shallow, covering only easily searchable surface information and generic overviews. This Skill enforces a structured five-layer research methodology with analytical frameworks, synthesis techniques, and quality gates so research deliverables contain non-obvious insights, sourced claims, and decision-ready analysis. ## Core Features & Use Cases - Five-Layer Research Methodology: Executes Surface Scan, Structure & Landscape, Depth Dive, Adjacent Opportunities, and Horizon Pointers layers, each with explicit quality gates. - 12 Analytical Frameworks: Applies PESTEL, Porter's Five Forces, Jobs-to-be-Done, Competitive Positioning Map, SWOT, and more with full application instructions and selection logic. - Synthesis & Red-Team Engine: Triangulates sources, detects convergence/divergence/silence patterns, calibrates confidence levels, and stress-tests conclusions before delivery. - 6 Topic Playbooks: Provides step-by-step execution sequences for Market Entry, Product Research, Competitive Analysis, Regulatory, Problem-Solving, and Service Expansion research. - Use Case: Ask "What does the competitive landscape look like for telehealth GLP-1 services?" and receive a structured research brief with a TL;DR, landscape map, practitioner-level depth findings, counterarguments, decision points, and confidence-rated sources. ## Quick Start Ask Claude to research a market, competitor set, regulation, or product decision, for example: "Research the utility discount market for disability placard holders and tell me whether it's worth entering."
