HyperFrames Video Entry Point
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
用自然语言指令剪辑视频：裁剪、拼接、变速、跳切去静音、文字覆盖、横竖比转换、抽帧封面、转 GIF、压缩、加 BGM/水印，基于 ffmpeg。
Install Video Editing
$ npx skills add ZJU-REAL/Easel --skill video-editing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel video-editing --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-editing .claude/skills/video-editing && 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-editing" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-editing into .claude/skills/video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-editing", 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-editingType 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-editing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel video-editing --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-editing .agents/skills/video-editing && 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-editing" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-editing into .agents/skills/video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-editing", 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-editing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel video-editing --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-editing .cursor/skills/video-editing && 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-editing" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-editing into .cursor/skills/video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-editing", 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-editing--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-editing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel video-editing --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-editing .gemini/skills/video-editing && 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-editing" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-editing into .gemini/skills/video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-editing", 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-editingInstalls 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-editing -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-editing .github/skills/video-editing && 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-editing" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-editing into .github/skills/video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-editing", 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-editing -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-editing --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-editing .opencode/skills/video-editing && 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-editing" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-editing into .opencode/skills/video-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-editing", 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.
Facts
- Skill name
video-editing- GitHub stars
- 3.4k
- Token cost
- ~878 tokens
- SKILL.md length
- 205 words
- Files
- 2
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
用自然语言指令剪辑视频：裁剪、拼接、变速、跳切去静音、文字覆盖、横竖比转换、抽帧封面、转 GIF、压缩、加 BGM/水印，基于 ffmpeg。
- Works in 4 steps: 先 info 看源比例/时长/有无音轨，再决定操作 → 每个操作调对应子命令，别手写 ffmpeg；不确定参数用 <子命令> -h → 多操作链式执行，中间产物可留 .drafts/ → …
- Tasks that involve Video production
- SKILL.md covers 输入, 输出, 与 clipify 的边界 and 子命令速查, plus 5 more sections
- Calls python
What it does
Video Editing is an agent skill from ZJU-REAL/Easel. 用自然语言指令剪辑视频：裁剪、拼接、变速、跳切去静音、文字覆盖、横竖比转换、抽帧封面、转 GIF、压缩、加 BGM/水印，基于 ffmpeg。 当用户说"剪视频""裁剪视频""拼接视频""视频变速""去静音""视频加文字""视频转GIF""压缩视频""加BGM/水印"时使用。 本 SKILL 做单条视频的通用剪辑；智能画幅转换用 video-reframe，长视频切片用 clipify/video-highlights，从 0 生成用 ai-video-gen。
Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `EASEL-META.md`).
It sits in Media & Creative, covering Video production and AI video generation. It works with FFmpeg. 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.
When your agent uses it
- Tasks that involve Video production
- Tasks that involve AI video generation
Example prompts
- “视频转GIF”
- “加BGM/水印”
- “/video-editing”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 先 info 看源比例/时长/有无音轨，再决定操作
- 每个操作调对应子命令，别手写 ffmpeg；不确定参数用 <子命令> -h
- 多操作链式执行，中间产物可留 .drafts/
- 产物输出到 outputs/主题名/，最后告知路径与时长
What it can do on your machine
Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Video Editing loads about 878 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 205 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 205 words, ~878 tokens.
Download SKILL.mdSave it as
.claude/skills/video-editing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- video-editing
- description
- 用自然语言指令剪辑视频：裁剪、拼接、变速、跳切去静音、文字覆盖、横竖比转换、抽帧封面、转 GIF、压缩、加 BGM/水印，基于 ffmpeg。 当用户说"剪视频""裁剪视频""拼接视频""视频变速""去静音""视频加文字""视频转GIF""压缩视频""加BGM/水印"时使用。 本 SKILL 做单条视频的通用剪辑；智能画幅转换用 video-reframe，长视频切片用 clipify/video-highlights，从 0 生成用 ai-video-gen。
- layer
- produce
视频剪辑
用自然语言指令做通用视频处理。所有操作都调用共享脚本
skills/shared/scripts/video_ops.py（subprocess 封装 ffmpeg/ffprobe），
不要现场手拼 ffmpeg 命令——脚本已处理音画同步、字体路径、编码默认值、
错误捕获等易错点。
从项目根目录运行。脚本相对路径：
skills/shared/scripts/video_ops.py。 每个子命令都支持-h查看参数。
输入
- 视频文件路径 + 操作描述（用户没给路径就问）
- 可选：目标平台/比例/时间段等参数
输出
处理后的视频/图片，存到 outputs/主题名/。脚本会打印 ✅ <路径> (大小)。
与 clipify 的边界
- clipify = 长视频智能切片 + 人脸追踪 pan + 逐字字幕烧录的特化流程。 需要"从长视频找精彩片段做成竖版短视频带字幕"时用它。
- video-editing（本 SKILL） = 通用剪辑处理。单点操作或自由组合时用它。 不做人脸追踪、不做字幕烧录（那是 clipify）。
子命令速查
先 python skills/shared/scripts/video_ops.py info -i <视频> 看清源信息，再操作。
| 子命令 | 用途 | 关键参数 |
|---|---|---|
cut | 按起止时间裁剪 | --start --end/--duration，--reencode 精确裁 |
concat | 多段拼接 | --mode demuxer(同参数无损)/filter(异参数统一) |
speed | 变速（音画同步） | --factor 2.0 |
silence-cut | 检测静音并去除（跳切） | --noise -30 --min-silence 0.5 --pad 0.05（别名 mute-cut） |
text | 文字覆盖 | --text --position --fontsize --color --start --end --box |
aspect | 横竖比转换 | --ratio 9:16 --mode pad(补边)/crop(裁切) |
frame | 抽帧做封面 | --time 00:00:03 --width |
gif | 转 GIF | --start --end --fps 12 --width 480 |
compress | 压缩 | --crf 26 或 --bitrate 2M，--scale 降分辨率 |
bgm | 加背景音乐混音 | --music --voice-volume 1.0 --music-volume 0.3 |
watermark | 加图片水印 | --logo --position --width --opacity |
info | 时长/分辨率/帧率/码率(json) | -i |
text / watermark 位置七选一：center top bottom top-left top-right bottom-left bottom-right。中文字体自动探测（wqy-microhei / Noto CJK），
也可 --font 显式指定。
常用示例
V=skills/shared/scripts/video_ops.py
# 裁剪 00:02:00–00:15:00
python $V cut -i in.mp4 -o out.mp4 --start 00:02:00 --end 00:15:00
# 横版转竖版（社媒竖版转制刚需）：补边不裁 or 裁切填满
python $V aspect -i in.mp4 -o vertical.mp4 --ratio 9:16 --mode pad
python $V aspect -i in.mp4 -o vertical.mp4 --ratio 9:16 --mode crop
# 去静音 + 1.25 倍速（先跳切再变速）
python $V silence-cut -i in.mp4 -o t.mp4
python $V speed -i t.mp4 -o out.mp4 --factor 1.25
# 第 3 秒抽帧做封面
python $V frame -i in.mp4 -o cover.jpg --time 00:00:03 --width 1080
# 2–6 秒转 GIF
python $V gif -i in.mp4 -o clip.gif --start 2 --end 6 --fps 12 --width 480
# 60 秒处叠 5 秒"关注我"字幕（底部带框）
python $V text -i in.mp4 -o out.mp4 --text "关注我" --position bottom --box --start 60 --end 65
# 加 BGM（原声 1.0 / BGM 0.3）、加右下角水印、压缩
python $V bgm -i in.mp4 -o out.mp4 --music bgm.mp3 --music-volume 0.3
python $V watermark -i in.mp4 -o out.mp4 --logo logo.png --position bottom-right --width 120
python $V compress -i in.mp4 -o small.mp4 --crf 26 --scale 720组合操作
链式：每步产物作下一步输入。典型顺序 cut → silence-cut → speed → text → aspect → compress。竖版转制放最后（在最终画布上叠字幕更可控）。
平台规范（简表）
| 平台 | 比例 | 时长 | 备注 |
|---|---|---|---|
| 抖音/视频号/Reels | 9:16 | ≤60s 黄金，前 3s 定成败 | 1080×1920 |
| 小红书视频 | 9:16 / 3:4 | ≤60s | 竖版优先 |
| B站/YouTube 横版 | 16:9 | 数分钟起 | 1920×1080 |
| Instagram Feed | 4:5 / 1:1 | 短 | 4:5 占屏更大 |
更详细规范按需查 references/（如有）。
环境要求
- ffmpeg + ffprobe — ✅ 已安装（脚本启动即检查，缺则报错退出）
- 字幕烧录/逐字字幕 — 走 clipify（需 whisper）；本 SKILL 只做
text覆盖
Agent 指令
- 先
info看源比例/时长/有无音轨，再决定操作 - 每个操作调对应子命令，别手写 ffmpeg；不确定参数用
<子命令> -h - 多操作链式执行，中间产物可留
.drafts/ - 产物输出到
outputs/主题名/，最后告知路径与时长
© 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
Files
SKILL.md and 1 other file in skills/openclaw/video-editing of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
Open the folder on GitHubat commit 278f420
Compare with similar skills
Video Editing 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 Editing this skillZJU-REAL/Easel | 3.4k | — | ~878 | Automated safety check: Pass | Apache-2.0 | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Video Shotseternityspring/reelbench-skills | 878 | 1 repos | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Video Scrubeternityspring/reelbench-skills | 878 | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | |
| Stage EditOrkas-AI/Orkas-VideoStudio | 499 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Re Walkthrough Procharlesdove977/re-walkthrough-pro | 164 | — | ~1.1k | Automated safety check: Notes | MIT |
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Questions about Video Editing
What does Video Editing do?
用自然语言指令剪辑视频：裁剪、拼接、变速、跳切去静音、文字覆盖、横竖比转换、抽帧封面、转 GIF、压缩、加 BGM/水印，基于 ffmpeg。. Video Editing is an agent skill from ZJU-REAL/Easel.
When should I use Video Editing?
Video Editing fits situations like: tasks that involve Video production; tasks that involve AI video generation.
How do I install Video Editing in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill video-editing -a claude-code`. Or copy the skill folder (skills/openclaw/video-editing in ZJU-REAL/Easel) into .claude/skills/video-editing in your project. Claude Code loads it when a task matches its description.
How do I install Video Editing in Codex?
Run `npx skills add ZJU-REAL/Easel --skill video-editing -a codex`. Or copy the skill folder (skills/openclaw/video-editing in ZJU-REAL/Easel) into .agents/skills/video-editing in your project. Codex loads it when a task matches its description.
Can I use Video Editing in Cursor, Gemini CLI or GitHub Copilot?
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-editing -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-editing, .gemini/skills/video-editing, .github/skills/video-editing and .opencode/skills/video-editing in your project.
What does Video Editing need to run?
Going by SKILL.md and its folder, Video Editing needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Video Editing access the network?
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.
Is Video Editing safe to install?
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.
What licence does Video Editing use?
Video Editing 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.
How many tokens does Video Editing use?
About 878 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Video Editing?
Skills that share tags, products or a category with Video Editing: HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars), Video Shots (eternityspring/reelbench-skills, 878 stars), Video Scrub (eternityspring/reelbench-skills, 878 stars) and Stage Edit (Orkas-AI/Orkas-VideoStudio, 499 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video Editing?
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.