Beamer Ja logo

Beamer Ja

Organization
studio-yebisu
beamer-ja

原典Warm EditorialのBeamerを日本語教材・数式・TikZ資料に使う。

Overview

Publisherstudio-yebisu
Repositoryyaoyorozu-ai-toolbox-slides
Skill namebeamer-ja
Stars
10
Forks
2
Bundled files
63
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.

  • 63 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 Beamer 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/beamer-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/beamer-showcase .claude/skills/beamer-ja
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Beamer 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 Beamer 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 Beamer 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Beamer

原典xukp20/build-beamer-slides e63b61b140a00596e5260ec7611e42bfde7efb5f (MIT)。PDFを主成果とし、.texを編集用に渡す。PPTXと称しない。

  1. upstream/styles/warm-editorial/template-169.tex から構図を作り、theme.tex のmacroを直接使う。色・余白・線・数学字体は原典を基本にする。
  2. xeCJK を読み、Shippori MinchoとZen Kaku Gothic Newの同梱TTF/OFLを相対パスで指定。見出しは明朝、本文はゴシック。
  3. 題材の仮定、式、図の意味を定義し、図はTikZ、数式はLaTeXで実装。ユーザーの構図指定を優先。
  4. 原典 references/review-loop.md と page-audit-checklist.md を読む。XeLaTeXを2回、または採用済みTectonicで同じソースを2回compile。エラーと関連overfullを解消し、全変更ページを180〜220dpi、重要な線・ラベル・式を400〜600dpi cropへ描画する。共通theme/font/macroを変えたら全ページを描画する。
  5. 全影響ページとcropを元の解像度で目視し、文字のはみ出し、語中改行、式と罫線の接触、余白、各接続線の始終点を確認する。修正後は再compile・再描画し、原典Draft-Ready Gateを満たすまで繰り返す。実施ページ・修正・結果をreviews/へ記録する。ユーザーは独立評価を指定済みなので再質問せず、作者検査後に独立評価へ渡す。独立合格は別記録に残す。
  6. .tex/PDF/PNG/入力/依頼/原典とMIT/fontとOFL/ガイドを渡す。TeXエンジン・cacheを含めない。

quick_validate

python build.py --tectonic C:/path/to/tectonic.exe で2回compileした後、全変更PNGと重要cropをpage-audit-checklistで検査する。生成成功だけで完了としない。標準依存がある環境では原典scripts/render_and_check.shも利用できる。実行していない検査・独立評価を完了と記載しない。

Bundled files

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

and 3 more files.

Frequently asked questions

What does the Beamer Ja AI skill do?

原典Warm EditorialのBeamerを日本語教材・数式・TikZ資料に使う。

Why use Beamer Ja on TypingMind?

Because you install it once and use it with any model. Beamer 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 Beamer 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/beamer-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 Beamer 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 Beamer Ja?

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

Is the Beamer 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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