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Game Build

Organization
zenstory-ai
game-build

Build a risk-matched whitebox or the approved production game for its target runtime. Turn GAME_DESIGN, and ART_DIRECTION when production begins, into a minimal BUILD_BRIEF and a runnable candidate that can be iterated with replayable evidence. Use for prototype the riskiest design question, implement the approved game design, or turn this design into a running game. 游戏构建执行。先按最大风险做白盒，或在正式生产时把批准后的 GAME_DESIGN 与 ART_DIRECTION 压缩成最小 BUILD_BRIEF，在目标运行环境中实现可运行候选并用可回放证据迭代。用于验证高风险设计问题、构建游戏原型或实现批准方案。

Overview

Publisherzenstory-ai
Repositorynovel-to-game
Skill namegame-build
Stars
845
Forks
119
Bundled files
6
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zenstory-ai on GitHub. Read the source before you install it.

Installation

Install the Game Build AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-build
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zenstory-ai/novel-to-game.git /tmp/novel-to-game
mkdir -p .claude/skills
cp -r /tmp/novel-to-game/skills/game-build .claude/skills/game-build
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Game Build in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Game Build on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Game Build is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

游戏构建执行

保护已批准的体验边界；正式生产时再保护已批准的美术边界。驱动实现模型完成真实可玩的候选，不在 构建阶段重新做概念、关卡或美术方向。

读取 build-brief-contract.md。白盒阶段必须已有 GAME_DESIGN.md； 完整候选还必须已有 ART_DIRECTION.md。缺产品决定时回对应 owner，不在 BUILD_BRIEF 就地发明。

产物语言由 PRODUCT_BRIEF.md 锁定；未锁定时跟随对话语言，不默认产出中文。

目标与自由

按 PRODUCT_BRIEF 锁定的平台、生产引擎、目标运行时、显示/输入、范围、分级和联网边界交付。 目标工具链不可用时不得自动改做网页；只有 brief 已批准替代运行时才可使用，并分开记录 targetRuntime、testedRuntime 与未覆盖项。

正式生产继承 ART_DIRECTION.md 的可观察视觉约束与批准目标图，在实际运行中验证焦点资产。

BUILD_BRIEF 只压缩产品边界、必须保真的体验事实、运行方式与完成证据，实现细节交给实现模型。

先声明 buildStage: whitebox|production 与 buildPath: template|custom。已有交互语法只有在能保留原作 独有动作、代价和世界回应时才采用；实时手感、空间、视线、物理或模板覆盖不了的核心动词走 custom。 白盒也必须选择能验证最大风险的形态，不能把所有项目降成文游。

当前会话能编码时直接实现；外部模型不可用时只交付构建说明，不声称游戏已生成。不要发送与原型 无关的完整受版权保护原文。

按能力读取可选合同

共同构建循环

  1. 先实现一个最小但完整的核心循环：启动、真实输入、状态变化、结果和重开。范围不足时修范围， 不先堆审计材料。
  2. 实现 GAME_DESIGN 的状态、动作与结果；使用生成模型时，模型只解释输入和结果，规则器拥有提交权。 存在 signature_command 时再执行可选合同的专属边界。
  3. 保留能复现问题的初态与输入路径，涉及随机性时固定 seed；修订后重放失败路径与相邻反例。
  4. 回写实际工具链、install/build/start 命令和版本；未知值写 NOT_AVAILABLE: 原因，不猜。 实际候选与 GAME_DESIGN、ART_DIRECTION 的事实描述不符时，交回对应 owner 修订或在 BUILD_BRIEF 标明冲突， 不留下描述已不存在的玩法、表现或声音的文档。

whitebox 到此按 build-brief-contract「完成证据」运行最窄检查并交回 design owner；设计修订后 重放受影响路径，直到最大风险已被实际暴露或当前方向被否决。

production 继续：

  1. 提供一条权威验证命令和最小可观察状态，使 game-qa 能一次走完 clean start → 核心动作 → 设计结果 → restart。
  2. 运行最窄的开发检查与启动 smoke，修复构建失败、阻断日志、资源失败和崩溃；替代运行时未覆盖的 目标平台输入、性能、打包或设备项写入 limitation。
  3. 达到 brief 的 targetFinish；更高完成度只处理已批准的焦点资产和招牌时刻，不制造与可玩闭环 无关的发布审计。
  4. 交给 game-qa；诊断、复跑与事实源规则见契约「完成证据」。

输出

生成 build/BUILD_BRIEF.md 与实际候选；production 还生成权威验证入口。截图、录制与 raw trace 只保留 调试所需的最小集合。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Game Build AI skill do?

Build a risk-matched whitebox or the approved production game for its target runtime. Turn GAME_DESIGN, and ART_DIRECTION when production begins, into a minimal BUILD_BRIEF and a runnable candidate that can be iterated with replayable evidence. Use for prototype the riskiest design question, implement the approved game design, or turn this design into a running game. 游戏构建执行。先按最大风险做白盒，或在正式生产时把批准后的 GAME_DESIGN 与 ART_DIRECTION 压缩成最小 BUILD_BRIEF，在目标运行环境中实现可运行候选并用可回放证据迭代。用于验证高风险设计问题、构建游戏原型或实现批准方案。

Why use Game Build on TypingMind?

Because you install it once and use it with any model. Game Build is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Game Build in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-build. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Game Build?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Game Build?

As many as you like. As long as a model supports skills, you can use Game Build with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Game Build AI skill free?

Yes. It is published on GitHub by zenstory-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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