What problem does it solve? AI agents working on a game project often miss unobvious conventions, version constraints, and project-specific rules, producing inconsistent code. This Skill runs a guided workflow to capture those critical rules into a single project-context.md file that agents read before implementing code. ## Core Features & Use Cases - Guided Discovery: Scans architecture documents, engine configs, and existing code to identify the technology stack, naming conventions, and coding patterns. - Collaborative Rule Generation: Walks through engine-specific, performance, organization, testing, and platform rule categories with user approval at each step. - LLM-Optimized Output: Produces a lean, scannable project-context.md with frontmatter tracking and usage guidelines. - Use Case: A game studio onboarding multiple AI agents to a custom C++ engine project uses this Skill to document dependency-direction rules, headless testing conventions, and build requirements so every agent generates compliant code. ## Quick Start Ask the AI to generate project context for this repository and follow the step-by-step discovery prompts.