Aham Ja logo

Aham Ja

Organization
studio-yebisu
aham-ja

読者と目的から構成・版式を決め、確認を挟みながら、編集できる図形と文字のPPTXにする。

Overview

Publisherstudio-yebisu
Repositoryyaoyorozu-ai-toolbox-slides
Skill nameaham-ja
Stars
10
Forks
2
Bundled files
138
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.

  • 138 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 Aham 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/aham-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/aham-showcase .claude/skills/aham-ja
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aham 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 Aham 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 Aham 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.

対話で構成と版式を決める

この作例は版式選択と変換の実演で、8段階対話の実演ではありません。原典の全体は、読み手と目的、材料、主張、標題列、版式、見本、ページ設計、品質確認を8段階で進める手順です。各段階の確認で、話の内容が決まる前に装飾だけを作ることを防ぎます。

原典の手順

段階決めること・成果
1読み手・目的・期待行動、発表条件、テーマ
2元資料の事実・数値・出典、欠落と矛盾
3受け手に伝える主張
4標題列と証拠の対応
5頁別の内容・推奨版式・代替2案・配置
6表紙・複雑な内容・図表の見本確認
7計画どおりのSVG、3頁ごとの確認、PPTX変換
8五層QCと内容/視覚監査、配布物

各段階で対応するphase文書を読み、原典の確認点を守る。経験者向けの確認統合例外を、無制限な段階省略と混同しない。原典ではcoach-engineも使う。

原典の標題は主語を特定できる結論文、24字以内、数字なし、読点1つまで。版式はlayout-libraryの決定表から選び、D類データ3件以上は図表化する。SVGが原稿で、PPTXを直接直さずSVGへ戻る。画像としてのSVG/HTMLスライドは原典が別のppt-svgへ振り分ける。

この作例の実施範囲

版式選択と変換の実演で、8段階対話の実演ではない。頁ごとの内容から、時間配分をGantt、前後関係を流れ図、並行する試行を泳道図へ当て、同じSVGから編集可能PPTXへ変換する。

  • 2頁・時間配分:3・10・5・2分の棒と0〜20の軸を照合する。青は10分だけ。下の合計20分と例示値の注記を確認する。
  • 3頁・前後関係:前日→朝→終了時の矢印と、各箱の下の具体的行動を読む。箱と矢印の相対配置を保ち、全体を中央へ移した。
  • 4頁・並行する計画:取り組み・記録・相談の横の3泳道と0〜4週を照合。破線枠はすべて凡例の「提案」で、実施確定の実績へ変えていない。

再生成

powershell
python generate.py --sample
# 見本を描画・確認し、phase-06-decision.jsonへ判断の主体を区別して記録
python generate.py --final

P5計画の判断がなく、P6見本のdecisionがapproveでない場合は止まる。現在は自律改修の委任を受けた担当の判断で、人間確認済みではない。原典lintは変換の前後に実行し、終了コード0だけでなく[!]/警告行を確認する。生成先source/final/deck.pptxと配布用deck.pptxは同じbytes。現在の実行順序はsource/round5-execution.json、配布再実行はsource/zip-replay.json。

制約と差分

  • この作例は版式選択と変換の部分実行。8段階のユーザー対話・coach-engine・P7の3頁ごとの確認・P8の全五層QCを完走していない。
  • 現在のP5計画判断とP6見本判断は、自律改修の委任を受けた担当の判断。過去のユーザー承認として扱わない。
  • Aテーマの白地・中性グレー・青を使用。初回依頼のコバルト・黄・墨は現版に使わない。
  • 原典関数と変換器は固定保存。書体/和訳に加え、P2/P4ラベルのサイズ・濃度、P3の平行移動・補足、終端20・日本語凡例を局所補正する。原典そのままの字号・座標とは記載しない。
  • 数値と期間は架空ワークショップの例示計画。仕事の改善・健康・時間短縮の実績ではない。
  • 公式Zen Kaku Gothic New/Manropeを同梱し、実PDFでも使用を確認。PPTXへ埋め込まない。
  • SVG/HTMLの画像スライドが目的なら原典は別のppt-svgへ振り分ける。ここで実証するのは編集可能なPPTXの経路。
  • 原典lintは終了コード0だけで合格とせず、出力の警告/違反行も確認。独立再評価と利用者採用は別。

Python依存はupstream/requirements.txt。公式TTF/OFLをfonts/に同梱する。原典Aham-AIAPP/aham-ppt、commit c2b4ece69bbac777557934f981457c1f98c2b73f、MIT/NOTICEと変換器LICENSE_NOTEを保持。原典ファイルは未変更。初回原稿・生成器は実Opus5.5、今回の修復・実行・目視・梱包はCodex。

Bundled files

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

and 78 more files.

Frequently asked questions

What does the Aham Ja AI skill do?

読者と目的から構成・版式を決め、確認を挟みながら、編集できる図形と文字のPPTXにする。

Why use Aham Ja on TypingMind?

Because you install it once and use it with any model. Aham 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 Aham 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/aham-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 Aham 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 Aham Ja?

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

Is the Aham 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇