What problem does it solve? When joining an existing game project or returning to one after a break, it is hard to know what stage development is in, which design documents, code systems, tests, and production artifacts exist, and what is missing before the next milestone. ## Core Features & Use Cases - Artifact Scanning: Counts GDDs, narrative docs, level designs, source files, ADRs, prototypes, and tests across design/, src/, production/, docs/, and tests/ directories. - Stage Classification: Classifies the project as Concept, Systems Design, Technical Setup, Pre-Production, Production, Polish, or Release using heuristics or an explicit production/stage.txt override. - Collaborative Gap Analysis: Asks clarifying questions about missing artifacts instead of assuming, then generates an approval-gated stage report with role-filtered recommendations for programmers, designers, or producers. - Use Case: A developer inherits a Unity project and asks where development stands; the skill scans the repo, reports 60% design completeness with no sprint plan, and recommends running map-systems and sprint-plan next. ## Quick Start Ask the AI to analyze this project, detect its current development stage, identify gaps, and recommend next steps.