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Game Design Option Generation

作者 Stanislav Stankovic · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install game-design-option-generation
功能描述
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...
使用说明 (SKILL.md)

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:

  1. Problem framing - what needs solving
  2. Option set - at least 3 credible solution paths
  3. Tradeoff summary - player value, business value, cost, risk, strategic fit
  4. 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

  1. ...
  2. ...
  3. ...

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.

安全使用建议
This skill appears self-contained and safe: it only provides instructions for generating multiple game-design options and includes a small reference file. Before installing, consider what you will feed the skill — don't paste unreleased proprietary design docs or secrets into prompts. The skill does not require credentials or install anything, and it won't persistently modify the agent; still review outputs for confidentiality before sharing externally.
功能分析
Type: OpenClaw Skill Name: game-design-option-generation Version: 1.0.0 The skill bundle contains only metadata and markdown instructions for a game design brainstorming workflow. There is no executable code, shell commands, or network activity. The instructions in SKILL.md and references/family-conventions.md are strictly aligned with the stated purpose of generating and comparing game design options and do not contain any malicious prompt injection or data exfiltration attempts.
能力评估
Purpose & Capability
Name/description ask for multiple design options; the skill contains only guidance and a small reference file and requests no binaries, env vars, or external services — all consistent with a design helper.
Instruction Scope
SKILL.md instructs the agent to produce problem framing, multiple options, tradeoffs, and a recommendation. It only references the included family-conventions.md file for conventions and does not direct the agent to read unrelated files, access system state, or call external endpoints.
Install Mechanism
No install spec and no code files — the skill is instruction-only so nothing is written to disk or downloaded during install.
Credentials
The skill requires no environment variables, credentials, or config paths; requested access is proportional to a purely instructional/design skill.
Persistence & Privilege
always is false (default), and the skill does not request system persistence or modifications to other skills. Model invocation is allowed (platform default) but that is appropriate for an interactive design helper.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install game-design-option-generation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /game-design-option-generation 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug game-design-option-generation
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

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。

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