Analysis updated 2026-05-18
Turn a Douyin, Bilibili, or YouTube video link into a Markdown transcript automatically.
Get an English YouTube video transcribed and translated into a bilingual Chinese document.
Keep an Obsidian vault tidy by auto tagging, deduplicating, and fixing broken links.
Track keyword mentions across X, Jike, V2EX, Hacker News, and 36kr in a daily briefing.
| chubbyguan/chubbyskills | nvlabs/mobilitygen | cvlab-kaist/gld | |
|---|---|---|---|
| Stars | 205 | 207 | 196 |
| Language | Python | Python | Python |
| Last pushed | — | 2026-02-17 | — |
| Maintenance | — | Maintained | — |
| Setup difficulty | moderate | hard | hard |
| Complexity | 3/5 | 4/5 | 5/5 |
| Audience | developer | researcher | researcher |
Figures from each repo's GitHub metadata at analysis time.
Each skill has its own Python requirements file, and some need system tools like ffmpeg installed separately.
Chubby Skills is a personal collection of AI automation routines, open-sourced by a Chinese content creator who uses them daily. Each routine is packaged as a "skill" that compatible AI agents can load directly, following the AgentSkills.io open standard. The collection works with several AI coding tools including Claude Code, Codex, OpenCode, OpenClaw, and Hermes. The largest category covers video transcription. You give the skill a link to a video from Douyin (the Chinese version of TikTok), Bilibili, TikTok, Weibo, Zhihu, or YouTube, and it downloads the audio, runs it through a speech recognition model called SenseVoice-Small, and saves the result as a Markdown file. The YouTube skill goes one step further: it translates the English transcript into Chinese and outputs a side-by-side bilingual document. There is also a podcast skill that handles RSS feeds from Chinese podcast platforms and uses a different transcription model called faster-whisper. Beyond transcription, the collection includes a WeChat public account skill that fetches article links, converts them to Markdown, and extracts structured observations and follow-up questions. A knowledge base management skill helps maintain an Obsidian note vault: it handles tagging and filing new material, checks for broken links and missing metadata, removes duplicates, and integrates with external tools for search and knowledge graph discovery. Two workflow-level skills round out the set. An industry intelligence radar scans X, Jike, V2EX, Hacker News, and 36kr for user-defined keywords, filters and deduplicates the results, detects emerging trends, and produces a daily briefing. A learning notes automation skill takes transcripts from any of the supported video or podcast sources, pulls out key concepts and facts, generates Anki-compatible flashcards in several formats, and updates a knowledge graph. Installation is handled by a setup script in the repository root. You can install all skills at once or pick individual ones by name. Each skill directory contains its own requirements file for Python dependencies, and some skills need system tools like ffmpeg installed separately.
A personal collection of AI agent skills for transcribing videos, managing an Obsidian knowledge base, tracking industry news, and generating flashcards, built around Chinese platforms.
Mainly Python. The stack also includes Python, SenseVoice-Small, faster-whisper.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.