Lingzao
atian-create/lingzao-skill
Use Lingzao creator-content tools for Xiaohongshu/XHS, Douyin, and WeChat official-account public content.
把口播、讲座、直播或 Vlog 转录并改写成小红书笔记、公众号文章或知乎内容,同时抽帧配图。当用户说“视频转图文/文章/笔记、视频扒文案、口播转文章、视频内容复用”时使用。只生成字幕文件用 auto-subtitle;翻译已有字幕用 subtitle-translate。
$ npx skills add ZJU-REAL/Easel --skill video-to-article -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel video-to-article --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-to-article .claude/skills/video-to-article && 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-to-article" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-to-article into .claude/skills/video-to-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-article", 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-to-articleType 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-to-article -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel video-to-article --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-to-article .agents/skills/video-to-article && 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-to-article" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-to-article into .agents/skills/video-to-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-article", 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-to-article -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel video-to-article --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-to-article .cursor/skills/video-to-article && 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-to-article" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-to-article into .cursor/skills/video-to-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-article", 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-to-article--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-to-article -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel video-to-article --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-to-article .gemini/skills/video-to-article && 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-to-article" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-to-article into .gemini/skills/video-to-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-article", 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-to-articleInstalls 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-to-article -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-to-article .github/skills/video-to-article && 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-to-article" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-to-article into .github/skills/video-to-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-article", 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-to-article -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-to-article --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-to-article .opencode/skills/video-to-article && 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-to-article" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/video-to-article into .opencode/skills/video-to-article/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-to-article", 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-to-article把口播、讲座、直播或 Vlog 转录并改写成小红书笔记、公众号文章或知乎内容,同时抽帧配图。当用户说“视频转图文/文章/笔记、视频扒文案、口播转文章、视频内容复用”时使用。只生成字幕文件用 auto-subtitle;翻译已有字幕用 subtitle-translate。
Video To Article is an agent skill from ZJU-REAL/Easel. 把口播、讲座、直播或 Vlog 转录并改写成小红书笔记、公众号文章或知乎内容,同时抽帧配图。当用户说“视频转图文/文章/笔记、视频扒文案、口播转文章、视频内容复用”时使用。只生成字幕文件用 auto-subtitle;翻译已有字幕用 subtitle-translate。
Its SKILL.md is about 590 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 Media & Creative, covering Transcription. It works with Xiaohongshu. 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 To Article loads about 585 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 126 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). 126 words, ~585 tokens.
.claude/skills/video-to-article/SKILL.md (or your agent's skills folder).把视频复用成图文内容:转录 → 结构化成篇 → 抽帧配图。转录与抽帧走确定性脚本 (
asr.py/video_ops.py),结构化成文由你(LLM)完成——这是本 SKILL 的核心价值。
只出字幕文件见 auto-subtitle;翻译字幕见 subtitle-translate; 出成套小红书卡片见 xhs-note-creator;纯文案润色见 text-polisher。
| 字段 | 必填 | 说明 |
|---|---|---|
| 视频文件 | 是 | 口播/讲座/直播/Vlog(没给就问) |
| 目标形态 | 否 | 小红书笔记(默认)/ 公众号文章 / 知乎回答 / 通用图文 |
| 配图数量 | 否 | 从视频抽几张配图(默认 3-6,按内容节点) |
outputs/主题名/)article.md — 成篇图文(标题 + 正文 + 小标题/要点 + 金句 + 话题标签)assets/frame-*.jpg — 抽取的配图assets/transcript.txt / assets/transcript.json — 转录原文与时间轴(备查)脚本路径(相对项目根):skills/shared/scripts/asr.py、skills/shared/scripts/video_ops.py。
python skills/shared/scripts/asr.py transcribe -i input.mp4 --format json \
-o outputs/主题名/assets/transcript.json
python skills/shared/scripts/asr.py transcribe -i input.mp4 --format txt \
-o outputs/主题名/assets/transcript.txt(首次跑 ASR 需外网代理下模型,见 auto-subtitle 前置说明。)
读转录,按目标形态改写成图文,不是照抄口语:
post-formatter / social-content 规范。article.md,并在文中标注"【配图1:xx画面 @ 02:15】"指明每张配图对应的视频时间点。按第 2 步标注的时间点,逐个抽帧:
python skills/shared/scripts/video_ops.py frame -i input.mp4 \
-o outputs/主题名/assets/frame-01.jpg --time 00:02:15 --width 1080挑画面清晰、有信息量的时间点(避免糊帧/转场帧)。
需要做成小红书卡片组时,把 article.md 交给 xhs-note-creator 或 card-xiaohongshu。
platforms.md 主平台;语气/称呼/emoji 尺度贴合 style.md;
话题标签贴合账号垂类;合规底线遵守 preferences.md。article.md 放 outputs/主题名/,转录和抽帧等中间件放 outputs/主题名/assets/。视频→图文是创作者复用内容的高频需求(一鱼多吃)。转录用 faster-whisper(asr.py),配图用 ffmpeg 抽帧(video_ops.py frame),成文结构化交给 LLM——把确定性 IO 与创意改写分层。
© 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-to-article of ZJU-REAL/Easel.
Open the folder on GitHubat commit 278f420
Video To Article 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 To Article this skillZJU-REAL/Easel | 3.4k | — | ~585 | Automated safety check: Pass | Apache-2.0 | |
| Lingzaoatian-create/lingzao-skill | 296 | 1 repos | ~8.8k | Automated safety check: Pass | MIT | |
| Member Skill DistillerJamailar/Beav | 1.8k | — | ~296 | Automated safety check: Pass | Custom licence | |
| Rednote ResearchLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| FeedgrabiBigQiang/feedgrab | 614 | — | ~2k | Automated safety check: Pass | MIT | |
| Media To TranscriptbozhouDev/video-skills-toolkit | 150 | — | ~1.8k | Automated safety check: Notes | MIT |
atian-create/lingzao-skill
Use Lingzao creator-content tools for Xiaohongshu/XHS, Douyin, and WeChat official-account public content.
Jamailar/Beav
Distill team members from profile, files, and YouTube subtitles into session-activated member skills.
LeoYeAI/openclaw-master-skills
Research a topic through RedNote/Xiaohongshu discussion signals using either public-web mode (no login) or optional login-enhanced browser review when the user explicitly chooses deeper access.
iBigQiang/feedgrab
Universal content grabber — fetch any URL and return structured Markdown.
bozhouDev/video-skills-toolkit
Convert audio/video URLs or local media into corrected Markdown transcripts through Volcengine recording-file ASR 2.0.
Pluviobyte/rnskill
Download source video or audio from Douyin, YouTube, Bilibili, Twitter/X, Xiaohongshu, and other yt-dlp-supported URLs into the content-creation workspace.
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
把口播、讲座、直播或 Vlog 转录并改写成小红书笔记、公众号文章或知乎内容,同时抽帧配图。当用户说“视频转图文/文章/笔记、视频扒文案、口播转文章、视频内容复用”时使用。只生成字幕文件用 auto-subtitle;翻译已有字幕用 subtitle-translate。. Video To Article is an agent skill from ZJU-REAL/Easel.
Video To Article fits situations like: tasks that involve Transcription.
Run `npx skills add ZJU-REAL/Easel --skill video-to-article -a claude-code`. Or copy the skill folder (skills/openclaw/video-to-article in ZJU-REAL/Easel) into .claude/skills/video-to-article in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ZJU-REAL/Easel --skill video-to-article -a codex`. Or copy the skill folder (skills/openclaw/video-to-article in ZJU-REAL/Easel) into .agents/skills/video-to-article 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-to-article -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-to-article, .gemini/skills/video-to-article, .github/skills/video-to-article and .opencode/skills/video-to-article in your project.
Going by SKILL.md and its folder, Video To Article 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 To Article 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 585 tokens (SKILL.md is roughly 2.3k 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 To Article: Lingzao (atian-create/lingzao-skill, 296 stars), Member Skill Distiller (Jamailar/Beav, 1.8k stars), Rednote Research (LeoYeAI/openclaw-master-skills, 2.2k stars) and Feedgrab (iBigQiang/feedgrab, 614 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.