Define RPG-style roadmaps mapping AI interactions to game mechanics and UI rules.
npx skills add https://github.com/recca0120/code-quest --skill rpg-roadmap
Please help me install this Agent Skill. Skill: rpg-roadmap Source: https://github.com/recca0120/code-quest/tree/main/.claude/skills/rpg-roadmap Command: npx skills add https://github.com/recca0120/code-quest --skill rpg-roadmap
It helps you plan and communicate a long-term “RPG layer” vision for a Claude Code web client, so teams can align on mechanics, UI structure, and progression systems without confusing the roadmap with current implementation.
Use the rpg-roadmap skill to generate a future-game-design plan that translates a proposed UI or session feature into RPG mechanics and progression rules.
High-intent search queries and answers about installing and using this skill.
To map AI interactions to RPG game mechanics, you can define a roadmap translating web client sessions into progression rules, battle triggers, and resource systems like HP, MP, EXP, and Gold. This approach structures future UI features as game mechanics.
An RPG roadmap for product design is a non-implemented vision that translates proposed UI or session features into game mechanics and progression rules. It works by defining AI-to-RPG mappings and structuring world regions like CodeLand to align teams on future direction.
You can plan quest progression and world building by defining a long-term game layer vision that outlines core systems like maps, scenes, stores, and battle mechanics. This ensures teams align on world structure without confusing the roadmap with current implementation.
Yes, you can use the RPG vision to structure UI system mapping by referencing specific UI design documents for system-level proposals. This ensures consistency with existing architecture while defining 11 core systems including map, scene, worktree, and multi-model integration rules.
The RPG roadmap approach requires references to related UI design documents for consistency with existing architecture. It explicitly functions as a non-implemented vision, meaning it guides future feature direction rather than depending on current code execution.
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