Analysis updated 2026-05-18
Turn a long interview transcript into flippable notes-style HTML slides
Convert a podcast's word-for-word script into a reviewable slide deck
Turn a long WeChat article or blog post into shareable single-file slides
Preprocess and validate source material before generating a slide deck with an AI tool
| gainubi/note-slides | limin112/wechat-publish-template | cclank/x-algorithm-wiki | |
|---|---|---|---|
| Stars | 151 | 149 | 146 |
| Language | HTML | HTML | HTML |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 1/5 | 2/5 |
| Audience | vibe coder | writer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Note Slides is a "skill", a set of instructions and templates for an AI tool, that converts long-form content into visually structured HTML slide presentations. The content it is designed to handle includes interview transcripts, podcast word-for-word scripts, long-form articles, course materials, and review notes. Rather than summarizing content or generating generic talking points, the tool's stated goal is to faithfully preserve the original material's structure, reasoning, and key moments, questions asked, judgments made, examples given, and data cited, and present them as horizontally flippable single-file HTML slides that open in a browser. Each slide is expected to have a traceable anchor point back to the source material. The README is in Chinese and is primarily aimed at users of Chinese AI tools. The repository structure includes the skill configuration file (SKILL.md), an HTML template, reference rules for content extraction and layout, and Python helper scripts for preprocessing input text, checking plans before slide generation, validating the output HTML, and packaging only the core files for distribution. Usage involves providing a long article, transcript, or link to an AI tool that supports this skill format and asking it to generate slides in the Note Slides style. The output is a single HTML file.
An AI skill that turns long transcripts, articles, and course notes into single-file HTML slides while preserving the original structure and reasoning.
Mainly HTML. The stack also includes HTML, Python.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.