视频章节 / 时间戳目录：给中长视频自动生成章节划分和时间戳目录，用于 B站分P/YouTube 章节/视频描述区，方便观众跳转、提升完播。当用户说 视频章节、章节目录、时间戳、分章节、视频目录、chapters、B站章节、YouTube 章节、给视频加时间点、看点目录、视频大纲时间戳 时使用。编排复用 asr.py（带时间轴转录），章节划分与命名由 LLM 完成。与…
$ npx skills add ZJU-REAL/Easel --skill video-chapters -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel video-chapters --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/video-chapters .claude/skills/video-chapters && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-chapters" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-chapters into .claude/skills/video-chapters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-chapters", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-chaptersType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZJU-REAL/Easel --skill video-chapters -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel video-chapters --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/video-chapters .agents/skills/video-chapters && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-chapters" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-chapters into .agents/skills/video-chapters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-chapters", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill video-chapters -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel video-chapters --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/video-chapters .cursor/skills/video-chapters && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-chapters" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-chapters into .cursor/skills/video-chapters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-chapters", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZJU-REAL/Easel.git --path skills/openclaw/video-chapters--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZJU-REAL/Easel --skill video-chapters -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel video-chapters --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/video-chapters .gemini/skills/video-chapters && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-chapters" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-chapters into .gemini/skills/video-chapters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-chapters", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZJU-REAL/Easel video-chaptersInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZJU-REAL/Easel --skill video-chapters -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/video-chapters .github/skills/video-chapters && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-chapters" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-chapters into .github/skills/video-chapters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-chapters", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill video-chapters -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJU-REAL/Easel video-chapters --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/video-chapters .opencode/skills/video-chapters && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-chapters" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-chapters into .opencode/skills/video-chapters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-chapters", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
video-chapters视频章节 / 时间戳目录：给中长视频自动生成章节划分和时间戳目录，用于 B站分P/YouTube 章节/视频描述区，方便观众跳转、提升完播。当用户说 视频章节、章节目录、时间戳、分章节、视频目录、chapters、B站章节、YouTube 章节、给视频加时间点、看点目录、视频大纲时间戳 时使用。编排复用 asr.py（带时间轴转录），章节划分与命名由 LLM 完成。与…
Video Chapters is an agent skill from ZJU-REAL/Easel. 视频章节 / 时间戳目录：给中长视频自动生成章节划分和时间戳目录，用于 B站分P/YouTube 章节/视频描述区，方便观众跳转、提升完播。当用户说 视频章节、章节目录、时间戳、分章节、视频目录、chapters、B站章节、YouTube 章节、给视频加时间点、看点目录、视频大纲时间戳 时使用。编排复用 asr.py（带时间轴转录），章节划分与命名由 LLM 完成。与 video-to-article 区别：那个把视频改写成成篇图文，本 SKILL 只出章节时间戳目录。
Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Speech recognition and synthesis. It works with YouTube. The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video Chapters loads about 470 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 118 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 118 words, ~470 tokens.
.claude/skills/video-chapters/SKILL.md (or your agent's skills folder).给中长视频生成章节时间戳目录（B站/YouTube 描述区可用）。带时间轴转录走
asr.py， 章节切分与命名由你（LLM）完成。
出成篇图文见 video-to-article；出字幕见 auto-subtitle；切成短视频见 video-highlights。
| 字段 | 必填 | 说明 |
|---|---|---|
| 视频文件 | 是 | 中长视频（教程/评测/讲座/直播回放；没给就问） |
| 目标平台 | 否 | B站 / YouTube / 通用（影响格式与措辞） |
| 章节数 | 否 | 期望章节数（默认按内容自然划分，通常 5-12 段） |
outputs/主题名/）chapters.txt — 时间戳目录（每行 mm:ss 章节名，可直接贴描述区）chapters.json — 结构化（start 秒 + 标题），供程序化使用transcript.txt — 转录原文（备查）脚本路径（相对项目根）：skills/shared/scripts/asr.py。
python skills/shared/scripts/asr.py transcribe -i <视频> --format json \
-o outputs/主题名/transcript.json（首次跑 ASR 需外网代理下模型，见 auto-subtitle 前置说明。）
读 transcript.json（每段带 start/end），按话题转折划分章节：
写 chapters.txt（每行 mm:ss 章节名，首行必须 00:00）：
00:00 开场｜今天聊什么
01:24 第一个坑：xxx
03:50 实测环节
...同时写 chapters.json：[{"start": 0, "title": "开场｜今天聊什么"}, ...]。
0:00，≥3 章、每章 ≥10s 自动生效。mm:ss 标题。chapters.txt 通用可读。outputs/主题名/。章节时间戳是 YouTube/B站 提升完播与检索的标准做法（首章 0:00、≥10s 间隔为平台硬规则）。 转录用 faster-whisper（asr.py）出时间轴，话题切分交给 LLM——确定性 IO 与语义划分分层。
© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/openclaw/video-chapters of ZJU-REAL/Easel.
Open the folder on GitHubat commit 278f420
Video Chapters next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video Chapters this skillZJU-REAL/Easel | 3.4k | — | ~470 | Automated safety check: Pass | Apache-2.0 | |
| Youtube FetcherJimmySadek/youtube-fetcher-to-markdown | 485 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Shorts Video Makeruxjoseph/content-marketing-team | 107 | — | ~665 | Automated safety check: Pass | None | |
| Watchmathiaschu/watch | 142 | — | ~4k | Automated safety check: Warn | MIT | |
| Watch Videocoreyhaines31/makerskills | 851 | — | ~3.8k | Automated safety check: Pass | MIT | |
| TriageTalAter/annyang | 6.8k | — | ~810 | Automated safety check: Notes | MIT |
JimmySadek/youtube-fetcher-to-markdown
Retrieve transcripts from YouTube, Instagram, TikTok, X, Vimeo and other video sites, summarize or analyze what was said (and shown on screen), or save an Obsidian-ready Markdown knowledge-base note…
uxjoseph/content-marketing-team
YouTube 영상에서 쇼츠 클립 3개를 자동 제작합니다. An agent skill from uxjoseph/content-marketing-team.
mathiaschu/watch
Watch a video from YouTube, Instagram, X/Twitter, Vimeo, TikTok or any of ~1800 yt-dlp sites (or a local path).
coreyhaines31/makerskills
When you want to extract content from a video — YouTube, Loom, Vimeo, Riverside, Zoom recording, local MP4, X/IG video, anything yt-dlp supports.
TalAter/annyang
Triage and close GitHub issues on TalAter/annyang. An agent skill from TalAter/annyang.
mcncarl/yichen-skills
逸尘自用的统一音视频转写入口，在 StepFun Step ASR 与火山引擎豆包 ASR 之间按输出需求、安全边界和可用状态路由。用于本地音频或视频的纯文本转写、时间戳、SRT 字幕、口播粗剪，以及转写前体检；用户明确指定服务商时不得静默切换。Use when a local audio or video file needs transcription and the correct…
ZJU-REAL/Easel
微信公众号文章排版引擎：把 Markdown / Word(.docx) / PDF / 纯文本转成可直接粘贴进公众号编辑器的 HTML，自动章节编号、关键词标记、引言卡、目录、代码块、图片/GIF、作者签名；主题从 references/theme-index.md…
ZJU-REAL/Easel
微信公众号文章自动创作与发布工具。给定参考文章、文字或文档，自动搜索整理全网相关信息、生成图文并茂的公众号文章，并发布到微信公众号草稿箱。特别强调反 AI 检测写作。
ZJU-REAL/Easel
社媒卡片视觉设计系统：提供配色、中文字体层级、满画幅布局、品类骨架和死空白/密度质检，避免模板化 PPT 与廉价 AI 感。
ZJU-REAL/Easel
生成电商商品视觉方案：主图概念、场景图、详情页视觉方向和 AI 生图 Prompt. An agent skill from ZJU-REAL/Easel.
ZJU-REAL/Easel
将数据或文字内容转化为可视化信息图，支持静态（AntV）和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画；要单张静态图片 URL 用 chart-visualization，要 CSV/JSON→整页报告用 data-report
ZJU-REAL/Easel
长篇小说/网文连载创作：从世界观、人设和三级大纲写到逐章正文，并用文件化状态维护伏笔、前情和跨章一致性. An agent skill from ZJU-REAL/Easel.
Works with
Categories
视频章节 / 时间戳目录：给中长视频自动生成章节划分和时间戳目录，用于 B站分P/YouTube 章节/视频描述区，方便观众跳转、提升完播。当用户说 视频章节、章节目录、时间戳、分章节、视频目录、chapters、B站章节、YouTube 章节、给视频加时间点、看点目录、视频大纲时间戳 时使用。编排复用 asr.py（带时间轴转录），章节划分与命名由 LLM 完成。与…. Video Chapters is an agent skill from ZJU-REAL/Easel.
Video Chapters fits situations like: tasks that involve Speech recognition and synthesis.
Run `npx skills add ZJU-REAL/Easel --skill video-chapters -a claude-code`. Or copy the skill folder (skills/openclaw/video-chapters in ZJU-REAL/Easel) into .claude/skills/video-chapters in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ZJU-REAL/Easel --skill video-chapters -a codex`. Or copy the skill folder (skills/openclaw/video-chapters in ZJU-REAL/Easel) into .agents/skills/video-chapters in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill video-chapters -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-chapters, .gemini/skills/video-chapters, .github/skills/video-chapters and .opencode/skills/video-chapters in your project.
Going by SKILL.md and its folder, Video Chapters needs the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Video Chapters is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 470 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Video Chapters: Youtube Fetcher (JimmySadek/youtube-fetcher-to-markdown, 485 stars), Shorts Video Maker (uxjoseph/content-marketing-team, 107 stars), Watch (mathiaschu/watch, 142 stars) and Watch Video (coreyhaines31/makerskills, 851 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.
Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
