GitHub Copilot App でプレゼンテーションをする技術This article explains how to use the GitHub Copilot App to render…

Creating presentation decks is a common but time-consuming task, and a growing number of developers are looking to their AI coding assistants to speed it up. A recent walkthrough from the Zenn community describes how to use the GitHub Copilot App to turn Markdown-written slides into themed, presentable output that can be exported to PDF, positioning it as a token-efficient alternative to having a model generate a full PowerPoint file.

The article is a follow-up to an earlier piece by the same author that covered building presentations with the GitHub Copilot CLI. This time the focus shifts to the GitHub Copilot App as the driving tool. The underlying motivation, however, is consistent across both: rather than asking a model to assemble a complex slide binary, the author prefers to write slide content in plain Markdown and then have it rendered with an appropriate theme before being converted into a distributable PDF.

The central argument rests on a practical observation about how modern models handle office formats. As the author notes, recent models are capable of producing PowerPoint files, but PowerPoint files are complex, which makes them relatively difficult and effort-intensive to generate reliably. A PowerPoint document is, under the hood, an Office Open XML package, a zipped collection of XML parts describing layouts, shapes, styling, and positioning. Getting a language model to emit that structure correctly can consume a considerable number of tokens and still yield fragile results. The author states plainly a preference not to spend tokens on that kind of output, which frames the entire approach: keep the source lightweight and human-readable, and let a rendering step handle presentation.

Markdown fits this goal well because it is concise, easy for both humans and models to write, and cheap in terms of tokens. Writing a slide deck as Markdown keeps the content separate from the styling, so the same text can be displayed with a chosen theme and then exported to PDF without the author having to hand-craft visual details. This separation of content and presentation is a familiar pattern in developer-oriented tooling and is one reason the workflow appeals to people who already live in a code editor or terminal.

For readers unfamiliar with the broader landscape, several established tools follow the same Markdown-to-slides philosophy that this workflow builds on. Marp, reveal.js, remark, and Slidev all let authors write decks in Markdown or lightweight markup and render them into browser-based or exportable presentations, typically with theme support and PDF export. The approach described here appears to sit in that same tradition, with the GitHub Copilot App handling the generation or orchestration of the slide content and the rendering-to-PDF path providing the final deliverable. That combination is likely attractive to developers who want to stay within the Copilot ecosystem rather than switching between separate applications.

The GitHub Copilot App itself is part of a wider expansion of the Copilot product family beyond inline code completion in the editor. Alongside Copilot Chat, the Copilot CLI, and agent-style features, GitHub has been broadening where and how the assistant can be invoked, and using it to help produce documents such as slide decks is one example of that expanding scope. The two articles from this author, one on the CLI and one on the App, reflect that the same underlying idea can be applied through different Copilot surfaces.

The token-efficiency angle is worth understanding in context. Large language models are billed and constrained by the number of tokens they process and produce, so a workflow that minimizes verbose, structured output can be both faster and cheaper. By keeping the model's job focused on generating compact Markdown rather than sprawling XML, the described method aims to reduce that cost while still arriving at a polished, shareable result. As always with such workflows, the quality of themes and the fidelity of the PDF export will depend on the specific rendering tools involved, and readers may need to adapt the steps to their own environment. Still, for anyone already using GitHub Copilot who wants to draft presentations without wrestling with PowerPoint internals, the Markdown-first approach outlined here offers a straightforward and practical path.