What problem does it solve? Engineering tasks often fail because AI assistants skip structured processes, make unchecked assumptions, or overcomplicate solutions. This meta-skill solves that by acting as a router that identifies the development phase of any incoming task and directs the AI to the correct workflow skill, while enforcing core operating behaviors like surfacing assumptions and verifying results. ## Core Features & Use Cases - Skill Discovery and Routing: Maps incoming tasks to one of 18 phase-specific skills (define, plan, build, verify, review, ship) using a decision tree covering everything from idea refinement to deployment. - Core Operating Behaviors: Enforces six non-negotiable behaviors across all skills, including surfacing assumptions, managing confusion, pushing back on bad approaches, enforcing simplicity, maintaining scope discipline, and verifying outcomes. - Lifecycle Sequencing: Defines the full feature lifecycle from idea-refine through shipping-and-launch, with guidance on which subsets apply to smaller tasks like bug fixes. - Use Case: When a user asks to build a new feature, the skill routes the session through spec-driven-development, planning-and-task-breakdown, incremental-implementation, and test-driven-development in sequence rather than jumping straight to code. ## Quick Start Ask the assistant to determine which agent skill applies to your current task, such as routing a vague feature idea through idea refinement and specification before writing any code.
