Agent skill

Bggg Tiktok Cut

by binggandata in binggandata/bggg-skills

用于把 AI 生成的视频、本地素材、口播素材或产品短片剪成可发布到 TikTok 的竖屏成片. An agent skill from binggandata/bggg-skills.

MITAuto-check passedMedia & Creative

Install Bggg Tiktok Cut

skills CLI
$ npx skills add binggandata/bggg-skills --skill bggg-tiktok-cut -a claude-code

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

GitHub CLI
$ gh skill install binggandata/bggg-skills bggg-tiktok-cut --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/binggandata/bggg-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bggg-tiktok-cut .claude/skills/bggg-tiktok-cut && 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
bggg-tiktok-cut
GitHub stars
605
Token cost
~954 tokens
SKILL.md length
143 words
Files
15 (incl. scripts, references)
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

用于把 AI 生成的视频、本地素材、口播素材或产品短片剪成可发布到 TikTok 的竖屏成片. An agent skill from binggandata/bggg-skills.

  • Works in 7 steps: 定位输入:确认视频文件、素材文件夹、BGM、字幕/SRT、产品卖点或脚本。用户没有… → 建项目:把本次产物收进一个项目目录,避免散落在工作区。 → 探测素材:生成 media inventory 和抽帧,用抽帧判断 AI… → …
  • Tasks that involve Speech recognition and synthesis
  • SKILL.md covers 快速流程, 剪辑判断, Edit Plan and 脚本职责, plus 2 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Bggg Tiktok Cut is an agent skill from binggandata/bggg-skills. 用于把 AI 生成的视频、本地素材、口播素材或产品短片剪成可发布到 TikTok 的竖屏成片。 当用户要求剪短视频、TikTok/Reels/Shorts 版本、9:16 重构图、批量短视频剪辑、AI 视频二创、 加大字字幕、BGM、音频 ducking、hook overlay、去空白、粗剪、导出 final.mp4 或根据素材文件夹 生成可发布短视频时,应使用此 skill。适合本地 FFmpeg/Whisper/Codex 工作流。

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts and reference files (for example `README.md`, `README_EN.md` and `evals/evals.json`). Compatibility notes: Requires Python 3, ffmpeg and ffprobe. Optional: faster-whisper or whisper CLI for transcription, auto-editor for silence removal.

It sits in Media & Creative, covering Speech recognition and synthesis and Video production. It works with TikTok and FFmpeg. The repository describes itself as: Open-source Codex skills from BGGG. The licence is MIT.

When your agent uses it

  • Tasks that involve Speech recognition and synthesis
  • Tasks that involve Video production

Example prompts

  • “/bggg-tiktok-cut”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Requires Python 3, ffmpeg and ffprobe. Optional: faster-whisper or whisper CLI for transcription, auto-editor for silence removal.

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. 定位输入:确认视频文件、素材文件夹、BGM、字幕/SRT、产品卖点或脚本。用户没有给完整参数时,先按 TikTok 默认值推进:1080x1920、30fps、15-45 秒、前 1-3 秒强 hook、大字字幕、轻 BGM。
  2. 建项目:把本次产物收进一个项目目录,避免散落在工作区。
  3. 探测素材:生成 media inventory 和抽帧,用抽帧判断 AI 视频的坏帧、主体位置、适合 cover 还是 blur-bg。
  4. 需要语音时转写:有口播/旁白时生成 JSON/SRT;无语音的 AI 视频可直接根据脚本写 captions/overlays。
  5. 写剪辑计划:编辑 plans/edit_plan.template.json,或先生成 starter plan 再修改。
  6. 渲染
  7. 自检:用 ffprobe 验证输出尺寸、时长、音频;抽查开头、字幕密集处、结尾。如果字幕被 TikTok UI 安全区遮挡、画面主体被裁掉、音频爆音或 BGM 过响,改 plan 后重渲染。

What it can do on your machine

Read from SKILL.md and the folder at commit 1034ee5. 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

    Ships 6 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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.

  • Compatibility

    Requires Python 3, ffmpeg and ffprobe. Optional: faster-whisper or whisper CLI for transcription, auto-editor for silence removal.

    From compatibility in the SKILL.md frontmatter.

Context cost

Bggg Tiktok Cut loads about 954 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 143 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~954
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from binggandata/bggg-skills at commit 1034ee5, republished under its MIT licence (© binggandata). 143 words, ~954 tokens.

Download SKILL.mdSave it as .claude/skills/bggg-tiktok-cut/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.
name
bggg-tiktok-cut
description
用于把 AI 生成的视频、本地素材、口播素材或产品短片剪成可发布到 TikTok 的竖屏成片。 当用户要求剪短视频、TikTok/Reels/Shorts 版本、9:16 重构图、批量短视频剪辑、AI 视频二创、 加大字字幕、BGM、音频 ducking、hook overlay、去空白、粗剪、导出 final.mp4 或根据素材文件夹 生成可发布短视频时,应使用此 skill。适合本地 FFmpeg/Whisper/Codex 工作流。
compatibility
Requires Python 3, ffmpeg and ffprobe. Optional: faster-whisper or whisper CLI for transcription, auto-editor for silence removal.

BGGG TikTok Cut

把 AI 生成的视频剪成 TikTok 可发布的 9:16 成片。Codex 负责判断故事、节奏、画面瑕疵和字幕文案;脚本负责可重复的 FFmpeg 渲染。

快速流程

  1. 定位输入:确认视频文件、素材文件夹、BGM、字幕/SRT、产品卖点或脚本。用户没有给完整参数时,先按 TikTok 默认值推进:1080x1920、30fps、15-45 秒、前 1-3 秒强 hook、大字字幕、轻 BGM。
  2. 建项目:把本次产物收进一个项目目录,避免散落在工作区。
    bash
    python3 <skill-dir>/scripts/init_project.py "<project-dir>" --name "<name>" --inputs "<video1>" "<video2>"
  3. 探测素材:生成 media inventory 和抽帧,用抽帧判断 AI 视频的坏帧、主体位置、适合 cover 还是 blur-bg。
    bash
    python3 <skill-dir>/scripts/probe_media.py "<project-dir>/raw" --out "<project-dir>/metadata/media_inventory.json" --frames-dir "<project-dir>/diagnostics/frames"
  4. 需要语音时转写:有口播/旁白时生成 JSON/SRT;无语音的 AI 视频可直接根据脚本写 captions/overlays。
    bash
    python3 <skill-dir>/scripts/transcribe.py "<project-dir>/raw/source.mp4" --out-dir "<project-dir>/transcripts" --model small --language auto
  5. 写剪辑计划:编辑 plans/edit_plan.template.json,或先生成 starter plan 再修改。
    bash
    python3 <skill-dir>/scripts/make_plan.py "<project-dir>" --title "<hook>" --target-seconds 30
  6. 渲染:
    bash
    python3 <skill-dir>/scripts/render_tiktok_cut.py "<project-dir>/plans/edit_plan.json"
  7. 自检:用 ffprobe 验证输出尺寸、时长、音频;抽查开头、字幕密集处、结尾。如果字幕被 TikTok UI 安全区遮挡、画面主体被裁掉、音频爆音或 BGM 过响,改 plan 后重渲染。

剪辑判断

  • AI 视频优先看画面连续性:删掉变形手、漂移 logo、字幕穿帮、闪帧、明显循环卡顿和主体出框的片段。
  • 前 3 秒要给理由:用画面强动作、结果预览、反差句、价格/痛点/卖点 overlay 之一开场。不要用慢慢铺垫。
  • 竖屏重构图默认 blur-bg:横屏或宽画幅 AI 视频用模糊背景保留完整主体;主体稳定且足够大时用 cover;需要展示全图时用 contain。
  • 字幕安全区:字幕默认放在中下区域,避开 TikTok 底部描述区和右侧操作栏。价格、优惠、CTA 放顶部或中部 badge。
  • BGM 是辅助:有口播时 BGM 轻铺,默认 0.08-0.14;无口播的视觉向视频可提高到 0.18-0.28,但避免压过关键音效。
  • 批量剪辑:每条视频单独建项目或在同一项目中保存多个 plans/*.json,输出命名带产品/角度/序号。

Edit Plan

渲染脚本读取 JSON plan。需要详细字段时读 references/edit-plan-schema.md。

最小可用示例:

json
{
  "version": 1,
  "project": {
    "title": "TikTok cut",
    "platform": "tiktok",
    "target": {"width": 1080, "height": 1920, "fps": 30}
  },
  "settings": {
    "fit": "blur-bg",
    "grade": "punch",
    "caption_style": "tiktok-bold",
    "voice_volume": 1.0,
    "output_name": "final_tiktok.mp4"
  },
  "clips": [
    {"source": "raw/clip.mp4", "start": 0.0, "end": 6.2, "fit": "blur-bg", "label": "HOOK"}
  ],
  "captions": [
    {"start": 0.0, "end": 2.4, "text": "第一眼就要看到结果", "style": "hook"}
  ],
  "overlays": [
    {"start": 0.0, "end": 2.4, "text": "AI 视频二创", "style": "hook"}
  ],
  "bgm": {"path": "assets/bgm/music.mp3", "volume": 0.12},
  "export": {"crf": 20, "preset": "fast"}
}

脚本职责

  • scripts/init_project.py:创建项目结构,复制输入,写 plan 模板和 manifest。
  • scripts/probe_media.py:ffprobe 素材并抽帧。
  • scripts/transcribe.py:可选本地转写,优先 faster-whisper,回退 whisper CLI。
  • scripts/make_plan.py:从 raw/ 生成保守 starter plan。
  • scripts/render_tiktok_cut.py:按 plan 标准化片段、拼接、加字幕/overlay/watermark、混 BGM、导出 TikTok MP4。

参考资料

  • 需要剪辑策略时读 references/tiktok-editing-playbook.md。
  • 需要修改 JSON 字段时读 references/edit-plan-schema.md。
  • 需要理解参考项目取舍时读 references/source-projects.md。
  • 第三方参考仓库不随本 skill vendored;references/source-projects.md 只记录学习到的设计模式和可回溯来源。

交付格式

完成后给用户这些路径:

  • 成片:<project-dir>/renders/final_tiktok.mp4
  • 剪辑计划:<project-dir>/plans/edit_plan.json
  • 渲染报告:<project-dir>/renders/render_report.json
  • 字幕:<project-dir>/captions/final_captions.ass,如果生成了转写,也给 SRT/JSON 路径

如果有未自动解决的问题,明确写成短清单:例如某段 AI 画面有不可修复变形、没有安装 Whisper、BGM 缺失、用户需人工确认品牌合规文案。

© binggandata, MIT. 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 14 other files (scripts, references) in bggg-tiktok-cut of binggandata/bggg-skills.

  • SKILL.md
  • .gitignore
  • README.md
  • README_EN.md
  • evals/evals.json
  • projects/.gitkeep
  • references/edit-plan-schema.md
  • references/source-projects.md
  • references/tiktok-editing-playbook.md
  • scripts/init_project.py
  • scripts/make_plan.py
  • scripts/media_common.py
  • scripts/probe_media.py
  • scripts/render_tiktok_cut.py
  • scripts/transcribe.py

Open the folder on GitHubat commit 1034ee5

Compare with similar skills

Bggg Tiktok Cut 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.

Bggg Tiktok Cut compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bggg Tiktok Cut this skillbinggandata/bggg-skills605—~954Automated safety check: PassMIT
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AutoshortsUpload-Post/skill-autoshorts151—~5.3kAutomated safety check: NotesMIT
Watchmathiaschu/watch142—~4kAutomated safety check: WarnMIT
Shorts Video Makeruxjoseph/content-marketing-team107—~665Automated safety check: PassNone
Lark Minutesrongxinzy/RongxinAI1542 repos~2.1kAutomated safety check: PassAGPL-3.0

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Works with

Questions about Bggg Tiktok Cut

What does Bggg Tiktok Cut do?

用于把 AI 生成的视频、本地素材、口播素材或产品短片剪成可发布到 TikTok 的竖屏成片. An agent skill from binggandata/bggg-skills. Bggg Tiktok Cut is an agent skill from binggandata/bggg-skills.

When should I use Bggg Tiktok Cut?

Bggg Tiktok Cut fits situations like: tasks that involve Speech recognition and synthesis; tasks that involve Video production.

How do I install Bggg Tiktok Cut in Claude Code?

Run `npx skills add binggandata/bggg-skills --skill bggg-tiktok-cut -a claude-code`. Or copy the skill folder (bggg-tiktok-cut in binggandata/bggg-skills) into .claude/skills/bggg-tiktok-cut in your project. Claude Code loads it when a task matches its description.

How do I install Bggg Tiktok Cut in Codex?

Run `npx skills add binggandata/bggg-skills --skill bggg-tiktok-cut -a codex`. Or copy the skill folder (bggg-tiktok-cut in binggandata/bggg-skills) into .agents/skills/bggg-tiktok-cut in your project. Codex loads it when a task matches its description.

Can I use Bggg Tiktok Cut 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 binggandata/bggg-skills --skill bggg-tiktok-cut -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bggg-tiktok-cut, .gemini/skills/bggg-tiktok-cut, .github/skills/bggg-tiktok-cut and .opencode/skills/bggg-tiktok-cut in your project.

What does Bggg Tiktok Cut need to run?

Going by SKILL.md and its folder, Bggg Tiktok Cut needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3. Compatibility (from SKILL.md): Requires Python 3, ffmpeg and ffprobe. Optional: faster-whisper or whisper CLI for transcription, auto-editor for silence removal..

Does Bggg Tiktok Cut 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 Bggg Tiktok Cut 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Bggg Tiktok Cut use?

Bggg Tiktok Cut is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bggg Tiktok Cut use?

About 954 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.

What are the alternatives to Bggg Tiktok Cut?

Skills that share tags, products or a category with Bggg Tiktok Cut: Karaoke Captions (AI-Builder-Club/skills, 1.3k stars), Autoshorts (Upload-Post/skill-autoshorts, 151 stars), Watch (mathiaschu/watch, 142 stars) and Shorts Video Maker (uxjoseph/content-marketing-team, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bggg Tiktok Cut?

binggandata (a GitHub user) maintains it in binggandata/bggg-skills, which has 605 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 13, 2026.

Source: binggandata/bggg-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.