What problem does it solve? Product teams struggle to systematically identify what an existing product should improve next, often relying on ad-hoc feedback instead of structured analysis of the gap between product intent and actual implementation. ## Core Features & Use Cases - Dual-path workflow: Triage mode validates a user-supplied issue list against the codebase, while Discovery mode runs an intent interview and gap analysis to surface enhancement opportunities. - Ranked enhancement proposals: Findings are categorized (missing capability, partial implementation, UX friction, misalignment, untapped potential, reliability gap) and ranked by impact-to-effort ratio. - Phased design docs and GitHub Issues: Generates numbered phase documents under documentation/planning/phases/ or publishes proposals as labeled GitHub Issues via --output github. - Use Case: Point the skill at an existing SaaS codebase, answer the intent interview questions, and receive a ranked table of enhancement proposals plus phased implementation plans ready for a build step. ## Quick Start Ask the AI to run product-enhance on this repository to discover and rank enhancement opportunities, optionally with a focus area like onboarding or search.