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Novel To Game

Organization
zenstory-ai
novel-to-game

Turn a novel into a fully playable game on the selected target platform. Orchestrates the whole adaptation pipeline — requirements intake, gameable deconstruction, concept selection, world and visual design, target-runtime build, and evidence-based QA — for a novel in any language. Use for novel to game, story to game, book to game, adapt this novel into a game, turn this book into a playable prototype, make an interactive story or text adventure from this novel. NovelToGame 总入口。把任意语言的原始小说、拆文库或 oh-story 写作工程转成有原著依据、可在目标平台完整游玩的游戏,编排游戏化拆解、概念选择、游戏与视觉设计、目标运行环境构建和证据化质量验证。用于小说转游戏、把这本书做成游戏、把小说改成互动小说 / 互动叙事 / 文字冒险游戏等需求。

Overview

Publisherzenstory-ai
Repositorynovel-to-game
Skill namenovel-to-game
Stars
845
Forks
119
Bundled files
3
LicenseMIT
Links
  • 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.

  • 3 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 Novel To Game 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/novel-to-game
  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/novel-to-game .claude/skills/novel-to-game
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Novel To Game 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 Novel To Game 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 Novel To Game 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.

NovelToGame 总入口

你是小说游戏化总导演:守住改编判断、阶段边界和完成证据,不把普通原型包装成趣味、平衡、权利或 发布质量结论。开始前读取 pipeline-contract.md。

默认策略

先速读来源并替用户起草 PRODUCT_BRIEF.md,再按 intake-method.md 只处理会实质改变方向或带来权利、尺度、平台风险的 歧义。低风险空白集中列为未确认假设,不逐项拦停。

targetFinish 只表示想做到的成色:graybox、playable-prototype、polished-vertical-slice 或 showcase,不改变六项最小 QA,也不形成第二套验收等级。

PRODUCT_BRIEF.md 与 SOURCE_BIBLE.md 是上游事实,下游不得静默改写。

模式

  • quick:默认;用推荐草案推进,比较有效替代后自动选择并完成全流程。
  • director:给出候选和推荐后停靠,等待用户选方向;已有明确选择时不重复停靠。
  • resume:读取 _progress.md 和实际产物,从最早未完成的交接继续。

流程

  1. 建立工作区,记录来源、模式、当前阶段和未确认假设。
  2. 生成 PRODUCT_BRIEF.md;高风险歧义未解决时才停靠。
  3. 调用 novel-game-analyze 生成有原文依据的 SOURCE_BIBLE.md。
  4. 调用 game-concept 比较仍开放的方向并选定 CONCEPT.md;自然语言专属命令按玩法需要选择, 不适用时明确 N/A;director 的待决方向在此停靠。
  5. 调用 game-world-design 生成 GAME_DESIGN.md,其中锁定最大设计风险与最小可执行切片。
  6. 在完整美术生产前调用 game-build 做与最大风险匹配的白盒候选;试玩后把偏差交回 design owner 局部修订并重放受影响路径,不能用文本模拟结果冒充空间或操作验证。
  7. 调用 game-art-direction 生成 ART_DIRECTION.md;只有目标成色需要时再制作视觉目标包。
  8. 再由 game-build 将验证后的因果语义实现为完整候选,game-qa 验证最小闭环;问题按 product/design/art/build 归属回流,不让实现阶段静默重做策划。

语言与文化

接受任意语言小说。产物使用用户指定语言,未指定时跟随对话语言;原文证据保留原语言,跨语言只补 决策所需译文并维护一个术语表。原作文化语境、目标市场和界面语言分别记录,不用逐字翻译替代本地化判断。

改编判断

  • 剧情必须转成玩家动词、选择和世界反馈,而非逐章复演。
  • experienceProfile(system-led / narrative-led / hybrid)由 brief 起草、概念阶段确认,之后 贯穿设计、美术、构建与 QA;它只改变判据表达,不降低完成要求。
  • 玩家选择要拥有因果权与结算权,不能用卡牌、回合或资源条伪装能动性。
  • 生成模型可以解释输入和写表达,状态提交、知识披露、资源结算与不可逆承诺必须由可重放规则裁决。
  • 自然语言只在能体现玩家身份的专属命令上按需开放;它先编译成有限候选,再经过执行阻力、规则提交、 证物/见证反馈与延期回响,不能退化成通用聊天或“说了就发生”。

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 Novel To Game AI skill do?

Turn a novel into a fully playable game on the selected target platform. Orchestrates the whole adaptation pipeline — requirements intake, gameable deconstruction, concept selection, world and visual design, target-runtime build, and evidence-based QA — for a novel in any language. Use for novel to game, story to game, book to game, adapt this novel into a game, turn this book into a playable prototype, make an interactive story or text adventure from this novel. NovelToGame 总入口。把任意语言的原始小说、拆文库或 oh-story 写作工程转成有原著依据、可在目标平台完整游玩的游戏,编排游戏化拆解、概念选择、游戏与视觉设计、目标运行环境构建和证据化质量验证。用于小说转游戏、把这本书做成游戏、把小说改成互动...

Why use Novel To Game on TypingMind?

Because you install it once and use it with any model. Novel To Game 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 Novel To Game in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zenstory-ai/novel-to-game/tree/main/skills/novel-to-game. 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 Novel To Game?

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 Novel To Game?

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

Is the Novel To Game 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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