Game Design Option Generation
/install game-design-option-generation
Game Design Option Generation
Generate multiple credible ways forward before choosing one.
Use this skill to expand the solution space around a game design problem, feature pitch, or design goal. Keep the work practical. The aim is not random brainstorming. The aim is to produce several plausible options, clarify what makes them different, and expose tradeoffs early.
Read references/family-conventions.md when you need the shared conventions for this GROW-derived skill family.
What to produce
Generate:
- Problem framing - what needs solving
- Option set - at least 3 credible solution paths
- Tradeoff summary - player value, business value, cost, risk, strategic fit
- Recommendation - which path is strongest and why
Process
1. Frame the problem
Clarify:
- what outcome is desired
- what constraint or tension matters most
- what existing system context cannot be ignored
2. Generate multiple options
Always produce several options before deciding.
Use one or more of these lenses:
- Five-options - compare several existing ideas
- Obstacle - imagine the main blocker removed, then derive paths around it
- Ideal outcome - work backward from the best player-facing result
- Transformative reuse - adapt or extend what already exists
- Outside-the-box - deliberately include non-obvious options
3. Compare options
For each option, describe:
- summary
- strengths
- weaknesses
- likely player effect
- implementation burden
- strategic fit
4. Recommend a path
Choose the strongest option, or recommend a sequence such as test one now, hold one in reserve, discard the rest.
Response structure
Problem Framing
- ...
Options
- ...
- ...
- ...
Tradeoffs
- Option A: ...
- Option B: ...
- Option C: ...
Recommendation
- ...
Fast mode
- What problem are we actually solving?
- What are 3-5 plausible ways to solve it?
- Which one is best now, and why?
Working principle
Do not confuse the first decent answer with the best available direction.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install game-design-option-generation - 安装完成后,直接呼叫该 Skill 的名称或使用
/game-design-option-generation触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Game Design Option Generation 是什么?
Generate multiple game design solution paths before committing to one direction. Use when a feature, live-ops idea, UX problem, economy issue, or design chal... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 106 次。
如何安装 Game Design Option Generation?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install game-design-option-generation」即可一键安装,无需额外配置。
Game Design Option Generation 是免费的吗?
是的,Game Design Option Generation 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Game Design Option Generation 支持哪些平台?
Game Design Option Generation 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Game Design Option Generation?
由 Stanislav Stankovic(@stanestane)开发并维护,当前版本 v1.0.0。