gds-generate-project-context

What problem does it solve? AI coding agents working on a game project often miss unobvious conventions, engine-specific patterns, and critical rules, leading to inconsistent implementations. This Skill captures those rules in a single optimized project-context.md file that agents read before writing 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 already in use. - Collaborative Rule Generation: Walks through engine-specific, performance, organization, testing, and platform rule categories with the user, supporting Unity, Unreal, and Godot projects. - LLM-Optimized Output: Produces a lean, scannable project-context.md with frontmatter tracking and usage guidelines for both agents and humans. - Use Case: A game studio onboarding multiple AI agents to a Unity project uses this Skill to document lifecycle rules, assembly definition constraints, and performance budgets so every agent implements code consistently. ## Quick Start Ask the AI to generate project context for this game project and follow the guided discovery and rule-generation steps.