What problem does it solve? AI assistants often respond with the same generic style regardless of the task, producing verbose explanations when you need code or shallow answers when you need deep analysis. This Skill adapts the AI's behavior, communication style, and output format to match the type of work being done. ## Core Features & Use Cases - Six Core Modes: Brainstorm (divergent ideation), Implement (concise production code), Debug (root-cause analysis), Review (severity-categorized feedback), Teach (progressive explanations), and Ship (pre-deployment checklists). - Automatic Mode Detection: Trigger keywords like "bug", "review", or "deploy" automatically activate the matching mode, with manual slash-command switching also supported. - Multi-Agent Patterns: Includes 2025 collaboration patterns such as Explore, Plan-Execute-Critic cycles, and mental model synchronization for context preservation across sessions. - Use Case: When you say "the login is not working", the AI enters Debug mode and responds with a structured symptom/root-cause/fix/prevention analysis instead of guessing at code changes. ## Quick Start Ask the AI to enter debug mode to investigate why the login endpoint returns a 500 error.
