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game-design-option-generation游戏设计选项生成

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

3,263

周安装

132

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公开资料未说明

下载量

1,024
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:game-design-option-generation(游戏设计选项生成)
来源仓库:https://github.com/stanestane/game-design-option-generation
安装命令:
openclaw skills install game-design-option-generation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install game-design-option-generation

简介

在确定方向前生成多个可行解决方案路径。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

  • 适合功能设计、用户体验挑战或经济模型探索阶段。
  • 输入问题描述后,获得若干备选方案及简要说明。
  • 输出为创意启发工具,需进一步筛选与验证。
  • game-design-option-generation 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
game-design-option-generation
description
Generate multiple game design solution paths before committing to one direction. Use when a feature, live-ops idea, UX problem, economy issue, or design challenge feels too quickly narrowed, when a team is looping around one favorite answer, or when you need several credible options with tradeoffs instead of a single premature recommendation.

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.18%
按下载量换算842

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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