Office Powerpoint Mcp Ja

Organization

studio-yebisu

office-powerpoint-mcp-ja

原稿と数値をMCPへ渡し、文字・表・データ連動チャートを持つPPTXを作成・修正できる。

Overview

Publisher	studio-yebisu
Repository	`yaoyorozu-ai-toolbox-slides`
Skill name	`office-powerpoint-mcp-ja`
Stars	10
Forks	2
Bundled files	80
Links	Skill source Repository Homepage

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.
80 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 Office Powerpoint Mcp Ja AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/studio-yebisu/yaoyorozu-ai-toolbox-slides/tree/main/examples/repositories/office-powerpoint-mcp
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/studio-yebisu/yaoyorozu-ai-toolbox-slides/tree/main/examples/repositories/office-powerpoint-mcp

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/office-powerpoint-mcp .claude/skills/office-powerpoint-mcp-ja

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Office Powerpoint Mcp 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 Office Powerpoint Mcp 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 Office Powerpoint Mcp 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.

MCPの操作で作成・比較・修正する

python-pptxを使うMCPサーバーのツールを通して、PPTXの作成・管理・文字・表・図表・テンプレートを操作する。

入力と出力

渡すもの：作成・編集したい資料の内容、表やチャートの元データ、必要に応じて元PPTXやテンプレート。

得られるもの：MCPツールで作成・編集したPPTXと、実行した操作・保存・描画確認の記録。

原典 GongRzhe/Office-PowerPoint-MCP-Server、固定commit 3631ba2ec0c24504476f78bf74d329c9be11caaa。原文と利用条件を保存した日本語派生で、公式翻訳ではありません。

使う手順

source/upstream/ppt_mcp_server.pyをstdioで起動し、list_toolsで実際の操作と引数を調べる。
source/build_mcp.pyで元MCPの作成・文字・表・チャート操作とbefore_after_comparisonテンプレートを呼ぶ。input/data.jsonを数値の正本にする。
source/runtime-adapters.mdの局所互換処理を確認し、PowerPoint描画で表・凡例・単位・前後値を照合する。
source/check_native_edit.pyで別コピーの本文とチャート1点を変更・保存し、元ファイルのSHAが変わらないことを確認する。

この作例で試した範囲

原典MCPへ95操作を実行し、比較表・2系列チャート・比較テンプレートを制作。日本語と比較型の局所調整はadapterへ分け、別コピーへ本文変更と220→221のchart更新を保存した。

2頁：売上増と粗利率低下を同時に見る：表の売上1000→1200、粗利率38→36、返品率4→6を照合する。セルはデータを持つOffice表。原典のadd_table/format_table_cellで構造化した行列を作り、数値と書式を分けて操作する。

3頁：売上増200万円の中心は自然検索：斜線/塗りの2系列と8値、下に一度だけ置いた凡例を見る。上の45%は自然検索の増加90÷全増加200の計算で、構成比ではない。原典のadd_chartは系列・カテゴリ・値からnativeチャートを作る。斜線/凡例位置と和文字体は明示adapter。

4頁：粗利額は増え、率は2ポイント低下：左右の前年/当年と下の差額棒を読む。原典比較型へ実データを渡し、無関係な黄色の楕円・矢印はadapterで外して他頁の見出し位置へ合わせた。高水準before_after_comparisonで比較構造を作る。未対応の日本語・配置調整は元の生成機能と分けて記録する。

用意するもの

Python3.10+ / mcp1.30.0 / python-pptx1.0.2 / Pillow
PowerPointとBIZ UDPGothic（非埋込）。PDF→PNGにはpypdfium2。

制約と未実施

原典はSKILL文書ではなくMCPサーバー。固定コミットを同梱し、現在の公開保守状態はこの実行では判定しない。
実作成95操作と別コピー編集5操作を実行。25テンプレートのうち1種を使用。画像効果・professional design・自動text修正は未実施。
日本語書式/ノート・凡例/斜線・セル縦中央・空段落・テンプレート横幅変換と装飾除去/見出し配置は明示adapter。原典API単独の出力とは区別。
BIZ UDPGothicの公式TTF/OFLを同梱し非埋込。数値は架空の例。チャート1点の書換保存は原典MCPで行い、GUI編集は未検査。

現在版は制作側が全頁の実画像を確認しています。独立モデルの現在版再評価・人間の採用とは別です。自己採点はしていません。現在hashと検査は QA.json、実行範囲は PROVENANCE.json、再実行は REPRODUCE.md を参照してください。

Bundled files

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

deck.pptx60 KB
environment.json1 KB
fonts/bizudpgothic/BIZUDPGothic-Bold.ttf4.5K KB
fonts/bizudpgothic/BIZUDPGothic-Regular.ttf4.6K KB
fonts/bizudpgothic/OFL.txt4 KB
index.html1 KB
input/BRIEF.md1 KB
input/data.json2 KB
input/empty-wide.pptx27 KB
NOTES.md1 KB
PROMPT.txt1 KB
PROVENANCE.json6 KB
QA.json4 KB
render/contact.png158 KB
render/deck.pdf283 KB
render/direct-png/slide-01.png32 KB
render/direct-png/slide-02.png61 KB
render/direct-png/slide-03.png67 KB
render/direct-png/slide-04.png63 KB
render/direct-png/slide-05.png64 KB
render/direct-png/slide-06.png54 KB
render/pdf-preview.json2 KB
render/powerpoint-render.json10 KB
render/render-command.log1 KB
render/slide-01.png94 KB
render/slide-02.png116 KB
render/slide-03.png138 KB
render/slide-04.png127 KB
render/slide-05.png126 KB
render/slide-06.png171 KB
REPRODUCE.md1 KB
roster.json1 KB
server-stderr.log15 KB
SOURCE.json11 KB
source/build_mcp.py17 KB
source/build_native_repository_examples.py23 KB
source/catalog-repair-proposal.json5 KB
source/check_native_edit.py3 KB
source/distribution-replay.json6 KB
source/ENTRYPOINTS.md1 KB
source/history-round3/PROMPT.txt1 KB
source/history-round3/PROVENANCE.json5 KB
source/history-round3/QA.json2 KB
source/history-round3/source/build_mcp.py15 KB
source/inspect_current.py2 KB
source/mcp-calls.json130 KB
source/mcp-tools.json81 KB
source/native-edit-calls.json7 KB
source/native-edit-check.json1 KB
source/native-edit-check.pptx60 KB
source/native-edit-server.log1 KB
source/native-elements.json3 KB
source/pdf-fonts.json5 KB
source/render_pdf_previews.py1 KB
source/render_powerpoint.ps13 KB
source/requirements.txt1 KB
source/runtime-adapters.md2 KB
source/upstream/__init__.py1 KB
source/upstream/ppt_mcp_server.py14 KB
source/upstream/pyproject.toml1 KB

and 20 more files.

Frequently asked questions

What does the Office Powerpoint Mcp Ja AI skill do?

原稿と数値をMCPへ渡し、文字・表・データ連動チャートを持つPPTXを作成・修正できる。

Why use Office Powerpoint Mcp Ja on TypingMind?

Because you install it once and use it with any model. Office Powerpoint Mcp 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 Office Powerpoint Mcp 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/office-powerpoint-mcp. 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 Office Powerpoint Mcp 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 Office Powerpoint Mcp Ja?

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

Is the Office Powerpoint Mcp 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MCPの操作で作成・比較・修正する

入力と出力

使う手順

この作例で試した範囲

用意するもの

制約と未実施

Bundled files

Frequently asked questions

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