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Game Design Ideal Outcome Backcasting

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-ideal-outcome-backcasting
功能描述
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...
使用说明 (SKILL.md)

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:

  1. Ideal outcome - the best believable player-facing result
  2. Required conditions - what must be true for that result to exist
  3. Backward path - the enabling steps, systems, and decisions
  4. 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

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

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.

安全使用建议
This skill is instruction-only and appears safe: it only uses the included reference file and produces a design-backcasting output. Before installing, consider (1) the privacy of any project details you paste into prompts (the skill will use whatever you provide), (2) whether you want the agent to invoke skills autonomously (the default allows invocation but this skill requires user invocation to be useful), and (3) reviewing the reference file if you want to confirm conventions. No credentials, downloads, or extra permissions are required.
功能分析
Type: OpenClaw Skill Name: game-design-ideal-outcome-backcasting Version: 1.0.0 The skill bundle is a purely instructional set of markdown files designed to guide an AI agent through a game design methodology called 'backcasting.' It contains no executable code, shell commands, or network requests. The instructions in SKILL.md and references/family-conventions.md are strictly aligned with the stated purpose of design brainstorming and do not attempt to exfiltrate data or manipulate the agent into performing unauthorized actions.
能力评估
Purpose & Capability
Name and description (backcasting an ideal player outcome) align with the actual requirements: no external services, no credentials, and only a short reference file. Nothing requested is disproportionate to a design-facilitation skill.
Instruction Scope
SKILL.md limits the agent to producing a structured design output and optionally reading the provided references/family-conventions.md. It does not instruct the agent to read unrelated files, environment variables, or to send data to external endpoints.
Install Mechanism
No install spec and no code files. As an instruction-only skill, it writes nothing to disk and does not pull external artifacts.
Credentials
No required environment variables, credentials, or config paths are declared or referenced. The skill does not request sensitive tokens or unrelated system access.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or modify other skills or system-wide settings.
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-ideal-outcome-backcasting
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /game-design-ideal-outcome-backcasting 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-ideal-outcome-backcasting
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 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。

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