What problem does it solve? Competitive and market research often produces uneven, ad-hoc comparisons where each vendor is judged on different criteria and gaps stay hidden. This Skill runs breadth-first landscape scans that enumerate the players in a space and compare them apples-to-apples on the same axes, with dated sources and explicit cut decisions. ## Core Features & Use Cases - Consistent comparison tables: Every player is profiled on the same criteria (offer, target customer, pricing signal, differentiator, momentum), with unknowns marked and stale sources flagged. - Transparent inclusion and exclusion: Candidates beyond the max cut are listed by name with a one-line reason, never silently dropped. - Positioning read: Clusters, crowded ground, and whitespace are identified and labeled as inference. - Use Case: Ask for a scan of the observability tooling space with max=10 players, and receive a comparison table, one-liners per player, a positioning read, a cut list, and dated sources. ## Quick Start Run a competitive scan of the AI code review market comparing the top 8 players on pricing and differentiators.