by ningzimu · Codex Skill · ★ 4.1k
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Featured in: PPT Skills for Codex & Claude Code
Codex PPT Skill 一个面向 Codex 的 PPT 生成 skill,也可在 Claude Code、OpenClaw、Hermes Agent 等支持 的 agent 中使用;在这些非 Codex 环境中通常需要配置 或第三方 OpenAI 兼容格式的生图 API。它把文章、报告、论文、课程笔记等内容转换成“整页图片式”的演示文稿:先规划大纲和视觉风格,再生成每页幻灯片图片,最后用本地脚本组装为 。 温馨提示 这个 skill 主要给大家提供一个还不错的 PPT 生成流程。为了尽量通用,它的流程设计会稍微复杂一些;复杂也会带来不稳定性或者冗余性。比如它同时兼容 Codex 内置生图和 API/CLI fallback 生图,也会兼容有无子 agent 可用这两种情况,但大部分人日常使用时其实只会固定走其中一条路线。 建议大家在走通自己常用的路线之后,让 AI 帮你改一下这个 skill,把你的偏好固定下来,省得每次都重新选择。比如固定使用内置生图或固定使用某个 API,固定是否使用子 agent,固定常用输出目录、风格、页数节奏等。 另外,如果你在做 PPT 的过程中遇到了自己喜欢的版式或排版,无论是这个 skill 做出来的,还是从别的地方找到的 PPT 风格图片,都可以让 AI 加到这个 skill 的 里,逐步形成你自己的风格库。Skills 本质上是非常个性化的流程,鼓励大家在使用这个 skill 的基础上,按自己的偏好持续调优,让它更适配自己的工作流。 关于 skills 如何设计和使用,可以参考 good-skill-design.pptx。这个 PPT 也是用本 skill 做的,采用的是手绘技术解释风;内容基于 Claude 在设计 skills 方面的最佳实践文章 [The Complete Guide to Building Skills for Claude](https://resources.anthropic.com/hubfs/The-Complete-Guide-to-Building-Skill-f
| Stars | 4,053 |
| Forks | 192 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.5858442738478/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-23 |
| Created | 2026-04-26 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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codex-ppt-skill is GPT-Image-2 PPT Generator Skill for Creating Image-Based PowerPoint Presentations in Codex and Other Skill-Compatible Agents. It is categorized as a Codex Skill with 4.1k GitHub stars.
codex-ppt-skill is primarily written in Python. It covers topics such as agent-skills, ai-ppt, claude-code.
You can find installation instructions and usage details in the codex-ppt-skill GitHub repository at github.com/ningzimu/codex-ppt-skill. The project has 4.1k stars and 192 forks, indicating an active community.
codex-ppt-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codex-ppt-skill on Agent Skills Hub include dashi-ppt-skill, dashiAI-ppt-skill, openpencil. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.