Guizang Social Cards
op7418/guizang-social-card-skill
Produces social card sets for Xiaohongshu and WeChat: carousels, Live Photo motion cards and puzzle layouts, and WeChat cover pairs, rendered from single-file HTML.
视频里有几个人说话、要区分是谁在说或给说话人标名字时用:没区分说话人的文稿按声纹重新转录并区分,再从文稿与来源信息里找证据给每位起真名,写回转写的 speakers。只改说话人,不改正文的字。只有一个人说话、或用户只要校对错字时不用。
$ npx skills add JimLiu/baocut --skill speaker-labeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install JimLiu/baocut speaker-labeling --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/JimLiu/baocut.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/speaker-labeling .claude/skills/speaker-labeling && 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 "speaker-labeling" agent skill from https://github.com/JimLiu/baocut/tree/main/skills/speaker-labeling into .claude/skills/speaker-labeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speaker-labeling", 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/JimLiu/baocut/tree/main/skills/speaker-labelingType 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 JimLiu/baocut --skill speaker-labeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install JimLiu/baocut speaker-labeling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JimLiu/baocut.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/speaker-labeling .agents/skills/speaker-labeling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "speaker-labeling" agent skill from https://github.com/JimLiu/baocut/tree/main/skills/speaker-labeling into .agents/skills/speaker-labeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speaker-labeling", 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 JimLiu/baocut --skill speaker-labeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install JimLiu/baocut speaker-labeling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JimLiu/baocut.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/speaker-labeling .cursor/skills/speaker-labeling && 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 "speaker-labeling" agent skill from https://github.com/JimLiu/baocut/tree/main/skills/speaker-labeling into .cursor/skills/speaker-labeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speaker-labeling", 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/JimLiu/baocut.git --path skills/speaker-labeling--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 JimLiu/baocut --skill speaker-labeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install JimLiu/baocut speaker-labeling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JimLiu/baocut.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/speaker-labeling .gemini/skills/speaker-labeling && 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 "speaker-labeling" agent skill from https://github.com/JimLiu/baocut/tree/main/skills/speaker-labeling into .gemini/skills/speaker-labeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speaker-labeling", 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 JimLiu/baocut speaker-labelingInstalls 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 JimLiu/baocut --skill speaker-labeling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/JimLiu/baocut.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/speaker-labeling .github/skills/speaker-labeling && 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 "speaker-labeling" agent skill from https://github.com/JimLiu/baocut/tree/main/skills/speaker-labeling into .github/skills/speaker-labeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speaker-labeling", 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 JimLiu/baocut --skill speaker-labeling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install JimLiu/baocut speaker-labeling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JimLiu/baocut.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/speaker-labeling .opencode/skills/speaker-labeling && 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 "speaker-labeling" agent skill from https://github.com/JimLiu/baocut/tree/main/skills/speaker-labeling into .opencode/skills/speaker-labeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "speaker-labeling", 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.
speaker-labeling视频里有几个人说话、要区分是谁在说或给说话人标名字时用:没区分说话人的文稿按声纹重新转录并区分,再从文稿与来源信息里找证据给每位起真名,写回转写的 speakers。只改说话人,不改正文的字。只有一个人说话、或用户只要校对错字时不用。
Speaker Labeling is an agent skill from JimLiu/baocut. 视频里有几个人说话、要区分是谁在说或给说话人标名字时用:没区分说话人的文稿按声纹重新转录并区分,再从文稿与来源信息里找证据给每位起真名,写回转写的 speakers。只改说话人,不改正文的字。只有一个人说话、或用户只要校对错字时不用。
Its SKILL.md is about 640 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. The repository describes itself as: BaoCut: an AI video agent with an editable timeline. Transcribe, subtitle, translate, dub, cut and animate.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9ccb7be. 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.
No scripts in the folder and no shell commands in SKILL.md.
From 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.
Speaker Labeling loads about 635 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 122 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 122 words (~635 tokens).
Just SKILL.md in skills/speaker-labeling of JimLiu/baocut.
Open the folder on GitHubat commit 9ccb7be
Speaker Labeling 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 |
|---|---|---|---|---|---|---|
| Speaker Labeling this skillJimLiu/baocut | 611 | — | ~635 | Automated safety check: Pass | Custom licence | |
| Guizang Social Cardsop7418/guizang-social-card-skill | 7.4k | 1 repos | ~7.8k | Automated safety check: Pass | AGPL-3.0 | |
| Weekly Changelog Videoheygen-com/hyperframes | 60k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Anthropic Brand Stylinganthropics/skills | 180k | 30 repos | ~559 | Automated safety check: Pass | Apache-2.0 | |
| MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo | 130k | — | ~2.1k | Automated safety check: Warn | MIT | |
| HyperFrames Media Useheygen-com/hyperframes | 60k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
op7418/guizang-social-card-skill
Produces social card sets for Xiaohongshu and WeChat: carousels, Live Photo motion cards and puzzle layouts, and WeChat cover pairs, rendered from single-file HTML.
heygen-com/hyperframes
Turns a weekly changelog markdown file into a branded HyperFrames video with voiceover, animated mock-UI scenes and captions, using fonts, background and scripts bundled in the skill.
anthropics/skills
Applies Anthropic's brand colors and fonts to artifacts such as PowerPoint slides, using fixed hex values for text and accents, Poppins headings and Lora body text.
harry0703/MoneyPrinterTurbo
Installs and runs MoneyPrinterTurbo to turn a topic or script into a finished short video with voice-over, subtitles, stock footage and music.
heygen-com/hyperframes
Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.
EverettFish/holo-card-studio
Create collectible holographic foil cards and two-image lenticular flip cards with AI-generated full-color ukiyo-e and colored sumi-e anime artwork, layered Blender scenes, renders, GLB export, and…
JimLiu/baocut
要在视频上加一段动效图形时用:下横栏(姓名职务)、关键词字幕、大数字与图表、标注与引导、品牌贴片与片尾、倒计时与进度。不选模板,按规则写一个自包含的 HTML 画面(时间的纯函数),打包成代码包导入后放上时间线。只加静态文字、贴纸或已有的文字动画预设时不用;整条成片的规划看「从简报到成片」。
JimLiu/baocut
用户要做幻灯片、演示文稿、讲稿或汇报用的页面时用:在工作目录里写一份 deck(deck.json 加每页一个 HTML 文件),校验通过后线程里出现幻灯片卡片,用户在功能区预览、编辑与标注。也用于按用户的意见或标注改已有的幻灯片。视频画面里的字卡、下横栏与动效不用它(用动效图形)。
JimLiu/baocut
用 BaoCut 处理视频与音频:转录、字幕、翻译、配音、剪口播、切短视频、分章、总结写稿、从链接下载、压缩转码、导出成片,或从零做一条成片。有媒体文件、视频链接、字幕文件或 BaoCut 视频时用;只翻译纯文本、与视频无关的写作或作图、别的剪辑器与 FFmpeg 的用法、BaoCut 源码开发不用。
JimLiu/baocut
用 BaoCut 处理视频与音频:转录、字幕、翻译、配音、剪口播、切短视频、分章、总结写稿、从链接下载、压缩转码、导出成片,或从零做一条成片。有媒体文件、视频链接、字幕文件或 BaoCut 视频时用;只翻译纯文本、与视频无关的写作或作图、别的剪辑器与 FFmpeg 的用法、BaoCut 源码开发不用。
JimLiu/baocut
Release BaoCut Electron desktop apps through GitHub Actions tags by default; use local/manual packaging only when explicitly requested.
JimLiu/baocut
一两个人对着镜头说话的录音要剪成能发布的视频时用:去掉口癖、长停顿、录废重来的部分和离题的话,在几遍重录里挑一遍,收紧句间停顿,把最有力的原话挪到开头,再按需要加放大强调、B-roll、竖屏取景和配乐闪避。需要视频的转写。只想从长视频里挑几段短视频时用切短视频。
Categories
视频里有几个人说话、要区分是谁在说或给说话人标名字时用:没区分说话人的文稿按声纹重新转录并区分,再从文稿与来源信息里找证据给每位起真名,写回转写的 speakers。只改说话人,不改正文的字。只有一个人说话、或用户只要校对错字时不用。. Speaker Labeling is an agent skill from JimLiu/baocut.
Speaker Labeling fits situations like: media & Creative work in your project.
Run `npx skills add JimLiu/baocut --skill speaker-labeling -a claude-code`. Or copy the skill folder (skills/speaker-labeling in JimLiu/baocut) into .claude/skills/speaker-labeling in your project. Claude Code loads it when a task matches its description.
Run `npx skills add JimLiu/baocut --skill speaker-labeling -a codex`. Or copy the skill folder (skills/speaker-labeling in JimLiu/baocut) into .agents/skills/speaker-labeling 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 JimLiu/baocut --skill speaker-labeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/speaker-labeling, .gemini/skills/speaker-labeling, .github/skills/speaker-labeling and .opencode/skills/speaker-labeling in your project.
SKILL.md names no scripts, command-line tools or credentials: Speaker Labeling is instructions for the agent only.
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.
Speaker Labeling has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 635 tokens (SKILL.md is roughly 2.5k 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 Speaker Labeling: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 60k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 130k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
JimLiu (a GitHub user) maintains it in JimLiu/baocut, which has 611 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 10, 2026.
Source: JimLiu/baocut on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.