by addsumtech · Codex Skill · ★ 293
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slide-maker: turn a paper, a repo, a doc, or just a topic into a native PPTX you can present 简体中文 Free and open source, built by Addsum The slide-maker that reads your actual work, never invents a number, ships fully-editable native PowerPoint, and won't hand it over until an independent critic signs off. Chat with it in Codex or Claude Code. It isn't one prompt guessing at slides: a small team of specialized agents reads your paper / repo / doc (or researches the topic when you have none), plans the story, designs each slide around it, builds a real , and puts it through an independent review before you ever see it. Most AI-PPT tools race to look pretty in seconds. slide-maker optimizes for the four things that actually matter when the deck is yours to defend: 🔍 Reads your source — doesn't invent it. Every number and figure traces back to your material; it won't make up a statistic to fill a slid
| Stars | 293 |
| Forks | 24 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.6128447578063/100 |
| Last Updated | 2026-07-26 |
| Created | 2026-06-14 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~19k |
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slides_maker is Turn papers, code, and docs into presentation-ready, natively editable PPTX in Codex / Claude Code. Native charts and equations, speaker notes, click-build animations, and an independent critic review. It is categorized as a Codex Skill with 293 GitHub stars.
slides_maker is primarily written in Python. It covers topics such as agent, ai, ai-agent.
You can find installation instructions and usage details in the slides_maker GitHub repository at github.com/addsumtech/slides_maker. The project has 293 stars and 24 forks, indicating an active community.
slides_maker is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to slides_maker on Agent Skills Hub include pptx-from-layouts-skill, Mck-ppt-design-skill, ultimate-ppt-master-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.