This repository is a meticulously crafted template for using AI coding agents to reverse-engineer live websites into clean, modern Next.js codebases. It provides a pre-configured Next.js 16 scaffold (with shadcn/ui, Tailwind v4, and TypeScript strict) alongside a sophisticated set of agent instructions that guide the AI through the entire cloning process: mapping URLs, observing the target, building components, and comparing results. The project is not just a code scaffold; it is a complete workflow definition designed for Claude Code, Codex, Cursor, and OpenCode. The architecture is elegantly split between the application scaffold (src/, public/) and the agent skill definitions (.agents/skills/clone-website/). The canonical skill (SKILL.md) and its references (inspection-guide.md, framer-and-motion.md) represent a masterclass in prompt engineering, providing concrete, actionable guidance for handling complex scenarios like Framer-generated pages, scroll-driven animations, and responsive asset extraction. The project structure enforces clean separation of concerns for multiple cloned sites. The codebase demonstrates exceptional craftsmanship and a deep understanding of both software engineering and AI agent capabilities. The highlighted components—the agent skills, the token-counting CI workflow, and the cross-platform agent configuration—are genuinely reusable patterns that solve non-obvious problems. This is a rare example of a template that is more valuable for its workflow and documentation than its application code, setting a high standard for AI-assisted development projects. Maintenance is active, technical drift is low, and the project is a strong 9.0 on the quality scale.
BMad Game Dev Studio is a content module for the BMad Method, providing a comprehensive set of AI agent skills and workflows for game development. It is not a traditional software application but a structured collection of markdown files, templates, and small scripts that an AI agent (such as Claude with BMad) interprets to guide users through preproduction, design, technical planning, production, and testing phases. The repository includes 7 agent definitions, 28 workflow skills, game engine knowledge bases (Godot, Unity, Unreal, Roblox, Phaser), and a documentation website built with Astro. The primary purpose is to automate and standardize game development tasks via LLM-based agents, covering brainstorming, game design documents, narrative design, UX specifications, architecture decisions, epic/story creation, code review, and various testing types. The architecture is entirely file-based: each skill has a SKILL.md entry point, step-by-step instructions, templates, and validation checklists. The system relies on the BMad Method core for orchestration and customization resolution. While not a code library, the repo demonstrates high organizational craftsmanship in its workflow design and template patterns.