And Scene Ja logo

And Scene Ja

Organization
studio-yebisu
and-scene-ja

原典のReact scene kitを実scaffoldし、安定layoutIdの共通canvasでentityが移動・morphする日本語ブラウザ資料を作る。

Overview

Publisherstudio-yebisu
Repositoryyaoyorozu-ai-toolbox-slides
Skill nameand-scene-ja
Stars
10
Forks
2
Bundled files
180
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.

  • 180 bundled files

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

  • Open source

    Published by studio-yebisu on GitHub. Read the source before you install it.

Installation

Install the And Scene Ja 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/studio-yebisu/yaoyorozu-ai-toolbox-slides/tree/main/examples/repositories/and-scene-showcase
  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/studio-yebisu/yaoyorozu-ai-toolbox-slides.git /tmp/yaoyorozu-ai-toolbox-slides
mkdir -p .claude/skills
cp -r /tmp/yaoyorozu-ai-toolbox-slides/examples/repositories/and-scene-showcase .claude/skills/and-scene-ja
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable And Scene Ja 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 And Scene Ja 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 And Scene Ja 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.

日本語 and-scene

原典 Codagent-AI/and-scene、固定commit 5ce44dff61f181db35b0c98a1cb86c71c7e062cb、MIT ©2026 Codagent-AI。出所SOURCE.json、原文条件LICENSE、原典SKILL。

  1. 題材・見た目・節・全Stepが指定済みなら再質問せず進む。Stepはcaption/titleとscene状態を持つ一つの移動可能な段階で、資料の独立した一枚と区別する。
  2. 空の私有appへ原典bootstrapをコピーし、build setup・kit・registryのanchorを用意。runtime React/React-DOM/Motion/Lucideと元dev/build依存を実installする。既存共有appへ無断で上書きしない。
  3. 原典Stepテンプレートとpresentationテンプレートからtyped stepsを作り、registryへ登録する。元types/Presentation/Stageを実使用。色や字体はpresentation-owned CSS、kitを一般rendererに替えない。
  4. 同じ概念はstable layoutIdを保つ。一つの共通図は同じSceneとgroupKey、typed payloadで状態を変える。transform/opacityはlayoutIdノードへ直接載せず、非layoutの子/外側へ。新しい登場だけAppearを使う。固定canvas880×380と元chromeを尊重する。対象の追加・削除に合わせて自然に再中央揃えし、固定pixel/chで動きを凍らせない。固定座標を要する図は許容経路として選択を記録する。
  5. npm run build(原典tsc -b && vite build)と主要初回表示/元1→2を確認する。公式実TTF/OFLをlocalへ、OS抽出なし。元TOC/progress active stateとattributionを読める見た目にする。
  6. 原典の自己検証を省かない。build、初回表示、全Stepの前後移動、caption、stable entity、重要な重なり、最後・密度の高いStep、狭い画面とchromeを確認する。原典 npm run verify と npm run inspect -- <slug> を優先し、実行できなかった工程は別記する。Windows用の起動差分と当作例の実行記録は制作キットsource/にある。

MD単独取得からの入口

固定原典:SKILL、bootstrap package、types、Presentation、Stage、Step、LICENSE。一式fork ZIPは必要な未変更原本をupstream/へ持つ。

制作一式and-scene-example-ja.zipのapp/(src、package/lock/config、public/fonts実TTF/OFL)、dist/完成runtime/assets/fonts、input/、source/原文/差分/conditionsとREADMEを取得する。app/でnpm ci && npm run build。distをHTTPで一緒に配信してindex.htmlを開く。主出力は複数assetsを持つWebフォルダーで単独HTMLではない。PPTX/PDFは原典対象外、生成しない。編集はTSX Step/payload/SVG/CSSとcaption。

Google Fonts固定66928797f271fed5ee428544e7229685e2d90127のShippori Mincho/BIZ UDPGothic/Manrope(OFL1.1)を使用。必要未改変ファイル・原文URL/hashは制作ZIPのapp/public/fonts/SOURCE.json、フォークのFONT-SOURCES.jsonに示す。runtime依存原文条件はDEPENDENCIES.md/licenses/。

親プレイヤーへは元usePresentationNav/setStepのsame-origin0-based adapterだけを局所追加できる。step数をpage_count、page_unit=段階にし、原典modelにないscene数は作らない。

使うための入力と現在の修復

対象の一覧・安定ID・対象同士の関係と、各段階の位置・表示状態・captionを用意します。交換本棚以外でも、同じ対象が段階を通って動く説明へ適用できます。図形は薄くしても、その役割名は判読できる濃さに残します。今回の6・8段階を含む全8段階を再描画しました。

現在の作例の実施範囲(Round4)

共通Sceneと対象IDを保って、一冊の位置と役割を変えた。本棚や役割名に本が重ならない配置、方向付きの循環図、実際の移動途中を確認できる。

  • 段階ごとに固定座標を与える経路を使用。原典の自動レイアウト再中央揃え、sync-kit、既存資料の編集、スワイプ操作は未実証。
  • 狭い画面は原典canvas全体が縮小する。文字を読む用途には広い画面を推奨。PPTX/PDF出力は対象外。
  • 自然な遷移の3時点を確認した範囲。連続動画全フレームやフレームレートの品質を保証しない。

全8頁の実描画と個別の動作証拠は制作側の確認。独立Kimi K3/Opus5.5の新しい版の評価は別に行う。過去の採点を新しい画像へ引き継がない。

Bundled files

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

and 120 more files.

Frequently asked questions

What does the And Scene Ja AI skill do?

原典のReact scene kitを実scaffoldし、安定layoutIdの共通canvasでentityが移動・morphする日本語ブラウザ資料を作る。

Why use And Scene Ja on TypingMind?

Because you install it once and use it with any model. And Scene Ja 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 And Scene Ja in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/studio-yebisu/yaoyorozu-ai-toolbox-slides/tree/main/examples/repositories/and-scene-showcase. 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 And Scene Ja?

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 And Scene Ja?

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

Is the And Scene Ja AI skill free?

It is published on GitHub by studio-yebisu. Check the repository for licensing terms. 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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