What problem does it solve? When facing open-ended design, architecture, or naming decisions, AI assistants tend to return the first obvious textbook answer. This Skill forces exploration past the obvious by spawning parallel isolated branches under different cognitive frames, then scoring, clustering, and deepening the strongest survivors. ## Core Features & Use Cases - Parallel Divergent Ideation: Spawns 5 isolated Agent calls under frames like regulator, biology, speedrunner, 10-year-old, and $0 budget, each generating 6 ideas without cross-contamination. - Structured Convergence: Scores ideas on novelty, viability, and fit, clusters them by underlying angle, flags attractive-but-wrong traps, and deepens the top 3 with risks, first steps, and child ideas. - Pre-flight Gate: Skips the expensive loop for syntax questions, lookups, known-cause bugs, or closed phrasing like "quick" or "standard". - Use Case: When deciding how to design a public API surface or debug a fuzzy issue with no known root cause, run the loop to get 30 candidates clustered by angle with a starred non-obvious-but-viable pick. ## Quick Start Ask the AI to run /adhd on your open-ended architecture or design problem to get a wide set of scored, clustered ideas with deepened top picks.