What problem does it solve? AI coding agents often start work without applying the right engineering process, leading to wrong assumptions, skipped verification, and scope creep. This meta-skill acts as a router that maps any incoming task to the correct workflow skill and enforces core operating behaviors across all of them. ## Core Features & Use Cases - Skill Discovery and Routing: A decision tree maps task types (specs, implementation, testing, review, shipping) to one of 20+ phase-organized workflow skills. - Core Operating Behaviors: Enforces six non-negotiable behaviors across all skills: surfacing assumptions, managing confusion, pushing back on bad ideas, enforcing simplicity, maintaining scope discipline, and verifying results. - Lifecycle Sequencing: Defines the typical skill chain for a complete feature, from interview-me through shipping-and-launch, plus a quick-reference table of every skill by phase. - Use Case: At the start of a session, a user describes a new feature request. The agent consults this meta-skill, routes to spec-driven-development, then planning-and-task-breakdown, then incremental-implementation, following each skill's verification steps in order. ## Quick Start Ask the agent to determine which skill applies to your current task before starting any implementation work.
