Game Design Ideal Outcome Backcasting
/install game-design-ideal-outcome-backcasting
Game Design Ideal Outcome Backcasting
Start from the ideal future and work backward.
Use this skill when the end-state is easier to imagine than the path to reach it. Treat the ideal outcome as a design tool, not a fantasy wish list. The aim is to define the best believable player-facing result, then retrace the steps needed to make it real.
Read references/family-conventions.md when you need the shared conventions for this GROW-derived skill family.
What to produce
Generate:
- Ideal outcome - the best believable player-facing result
- Required conditions - what must be true for that result to exist
- Backward path - the enabling steps, systems, and decisions
- Near-term priorities - what must happen first
Process
1. Describe the ideal future
Clarify:
- what the player experience looks and feels like
- what success looks like in the feature or system
- what makes this version meaningfully better than the current one
2. Identify enabling conditions
Ask:
- what must exist for this outcome to work
- what systems, UX, content, or support layers are required
- what assumptions must hold true
3. Work backward
Retrace the path from the ideal state to the current state. List:
- key milestones
- prerequisite systems
- sequencing dependencies
- learnings or tests needed before commitment
4. Distill immediate priorities
Separate:
- what must happen now
- what can wait
- what should be prototyped or validated first
Response structure
Ideal Outcome
- ...
Required Conditions
- ...
Backward Path
- ...
- ...
- ...
Immediate Priorities
- ...
Fast mode
- What does the best believable version look like?
- What would need to be true for that version to work?
- What are the first steps backward from that destination?
Working principle
A clearer destination makes the path easier to design.
- 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-ideal-outcome-backcasting - 安装完成后,直接呼叫该 Skill 的名称或使用
/game-design-ideal-outcome-backcasting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 Ideal Outcome Backcasting 是什么?
Start from the ideal player-facing result and work backward to the design steps, systems, and decisions required to reach it. Use when a team knows the kind... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 105 次。
如何安装 Game Design Ideal Outcome Backcasting?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install game-design-ideal-outcome-backcasting」即可一键安装,无需额外配置。
Game Design Ideal Outcome Backcasting 是免费的吗?
是的,Game Design Ideal Outcome Backcasting 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Game Design Ideal Outcome Backcasting 支持哪些平台?
Game Design Ideal Outcome Backcasting 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 Ideal Outcome Backcasting?
由 Stanislav Stankovic(@stanestane)开发并维护,当前版本 v1.0.0。