Agent skill

Speaker Labeling

by JimLiu in 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。

Custom licenceAuto-check passedMedia & Creative

Install Speaker Labeling

skills CLI
$ npx skills add JimLiu/baocut --skill speaker-labeling -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JimLiu/baocut speaker-labeling --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
speaker-labeling
GitHub stars
611
Token cost
~635 tokens
SKILL.md length
122 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
Custom licence

At a glance

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。

  • Works in 6 steps: 先看现状 → 区分:按声纹重新转录 → 标注:给每位起名字 → …
  • Media & Creative work in your project
  • SKILL.md covers 1. 先看现状, 2. 区分:按声纹重新转录, 3. 标注:给每位起名字 and 4. 先确认,再写回, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Media & Creative work in your project

Example prompts

  • “/speaker-labeling”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. 先看现状
  2. 区分:按声纹重新转录
  3. 标注:给每位起名字
  4. 先确认,再写回
  5. 要避免的
  6. 交付

What it can do on your machine

Read from SKILL.md and the folder at commit 9ccb7be. 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

    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.

  • 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

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.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~635

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

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).

name
speaker-labeling
version
2.0.0

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/speaker-labeling of JimLiu/baocut.

Open the folder on GitHubat commit 9ccb7be

Compare with similar skills

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.

Speaker Labeling compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Speaker Labeling this skillJimLiu/baocut611—~635Automated safety check: PassCustom licence
Guizang Social Cardsop7418/guizang-social-card-skill7.4k1 repos~7.8kAutomated safety check: PassAGPL-3.0
Weekly Changelog Videoheygen-com/hyperframes60k—~3.3kAutomated safety check: PassApache-2.0
Anthropic Brand Stylinganthropics/skills180k30 repos~559Automated safety check: PassApache-2.0
MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo130k—~2.1kAutomated safety check: WarnMIT
HyperFrames Media Useheygen-com/hyperframes60k—~2.4kAutomated safety check: PassApache-2.0

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Questions about Speaker Labeling

What does Speaker Labeling do?

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.

When should I use Speaker Labeling?

Speaker Labeling fits situations like: media & Creative work in your project.

How do I install Speaker Labeling in Claude Code?

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.

How do I install Speaker Labeling in Codex?

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.

Can I use Speaker Labeling 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 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.

What does Speaker Labeling need to run?

SKILL.md names no scripts, command-line tools or credentials: Speaker Labeling is instructions for the agent only.

Does Speaker Labeling 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 Speaker Labeling 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 Speaker Labeling use?

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.

How many tokens does Speaker Labeling use?

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.

What are the alternatives to Speaker Labeling?

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.

Who maintains Speaker Labeling?

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.