gds-generate-project-context

What problem does it solve? AI coding agents working on a game project often miss unobvious implementation rules, engine-specific patterns, and project conventions, leading to inconsistent code. This Skill collaboratively discovers your technology stack and critical rules, then produces a lean project-context.md file that agents read before writing code. ## Core Features & Use Cases - Guided Discovery: Scans architecture documents, engine config files (Unity, Unreal, Godot), and dependency manifests to identify the exact technology stack and versions. - Collaborative Rule Generation: Walks through engine-specific, performance, organization, testing, and platform rule categories with A/P/C review menus for each section. - LLM-Optimized Output: Produces a concise project-context.md focused on unobvious rules and anti-patterns, with frontmatter tracking completion status. - Use Case: A game studio onboarding multiple AI agents runs this workflow once to capture Unity lifecycle rules, frame budget constraints, and naming conventions so every agent implements code consistently. ## Quick Start Ask the agent to generate project context for this game project and follow the guided discovery steps.