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Native Math Ja

Organization
studio-yebisu
native-math-ja

原稿・研究資料から、数式をPowerPoint内で編集できる発表資料を作る。

Overview

Publisherstudio-yebisu
Repositoryyaoyorozu-ai-toolbox-slides
Skill namenative-math-ja
Stars
10
Forks
2
Bundled files
48
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.

  • 48 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 Native Math 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/native-math-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/native-math-showcase .claude/skills/native-math-ja
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Native Math 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 Native Math 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 Native Math 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.

数式を編集できるPowerPointを作る

原典: Noi1r/powerpoint-skill / commit a39cd8cfba332741a96d52bebd2bb378b638364e / MIT。 原文はupstream/powerpoint-slides/SKILL.md、テーマと全規則は同梱referencesを読む。非公式の日本語案内。

自分の資料で使う

  1. 原稿や論文を読み、主要な主張、前提知識、例、数式を抽出する。PPTXが必要な用途で使い、Beamer/TeX出力は別スキルへ分ける。
  2. 発表時間、聞き手、前提、範囲、深さ、テーマを決める。既に依頼に指定があれば使い、足りない条件だけを確認する。
  3. 頁構成・各頁の目的・版式・数式と図の配置を計画する。定義の前に動機、定義から2頁以内に具体例を置く。原典の承認契約はユーザーの既存の指示に合わせる。
  4. 原典themes.mdからテーマとPptxGenJS helpersを使う。字体・配色・版式は資料に合わせる。図形、表、グラフをnativeで作る。
  5. 数式をformulas.jsonへ集める。通常はrender:ommlを使い、原典render_latex.pyでmanifestを生成。addMathTextのplaceholderを配置し、inject_omml.pyでPandoc→DOCX→OMMLを注入する。残存placeholderを0にする。画像への代替は明示し、黙って編集性を失わせない。
  6. 実際にPPTXを生成して全頁を描画する。OMMLはPowerPointで確認する。LibreOfficeでは欠ける場合がある。数式と表の間隔、はみ出し、対比、数式の正確さを頁ごとに確認する。
  7. 原典check_overlaps.py、visual-check、audit、pedagogy、excellenceの契約を読み、対応する検査と修正を行う。原典の採点90点以上条件と独立確認を、生成成功だけで置き換えない。未実行は未実行と記録する。
  8. 完成PPTX、PDF/PNG、原稿・数式・生成ソース、利用条件、検査範囲を渡す。原典のReferences/Thank You/Backup構成から省く場合は、用途と変更を明記する。

必要環境

Node.jsとPptxGenJS、Pythonとlxml、Pandoc。OMMLの表示・編集確認にはMicrosoft PowerPointを使う。PptxGenJSはMIT、lxmlはBSD系、PandocはGPLの外部実行依存。字体は公式配布と原文OFLを使い、Office付属字体やXSLを抽出再配布しない。

同梱作例の範囲

5分・5枚の仮想得点教材。Sandwichの青と橙を文字の対比が取れる濃さへ調整し、明朝見出しと日本語本文書体を設定した。本編5枚に絞ったためReference/Thank You/Backup追加を省略。研究論文の抽出例ではない。実行と独立評価の状態は作例QA.jsonを確認する。

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 Native Math Ja AI skill do?

原稿・研究資料から、数式をPowerPoint内で編集できる発表資料を作る。

Why use Native Math Ja on TypingMind?

Because you install it once and use it with any model. Native Math 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 Native Math 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/native-math-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 Native Math 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 Native Math Ja?

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

Is the Native Math 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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