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Bggg Tiktok Capcut

Community
binggandata
bggg-tiktok-capcut

通用 CapCut 草稿生成与 AI 视频检查 skill。用于把本地 AI 视频套用现有 CapCut 草稿模板, 生成可在 CapCut 首页显示并可编辑的新草稿;也用于提取模板样式、验证草稿结构、抽帧检查 AI 痕迹、规划修复窗口和做本地 RIFE 补帧。

Overview

Publisherbinggandata
Repositorybggg-skills
Skill namebggg-tiktok-capcut
Stars
605
Forks
95
Bundled files
13
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by binggandata on GitHub. Read the source before you install it.

Installation

Install the Bggg Tiktok Capcut AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/binggandata/bggg-skills/tree/main/bggg-tiktok-capcut
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/binggandata/bggg-skills.git /tmp/bggg-skills
mkdir -p .claude/skills
cp -r /tmp/bggg-skills/bggg-tiktok-capcut .claude/skills/bggg-tiktok-capcut
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bggg Tiktok Capcut in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bggg Tiktok Capcut on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bggg Tiktok Capcut is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

BGGG TikTok CapCut

这个 skill 只保留通用能力:

  • 基于现有 CapCut 草稿模板生成新草稿
  • 提取模板里的字幕样式、转场、动画、特效
  • 验证草稿是否会被 CapCut 索引并显示
  • 对 AI 视频或 CapCut 草稿抽帧做 AI 痕迹检查
  • 为明显 AI 痕迹生成修复窗口
  • 用本地 RIFE 做高质量补帧预处理

默认 CapCut 草稿根目录:

bash
$HOME/Movies/CapCut/User Data/Projects/com.lveditor.draft

如果你的 CapCut 草稿目录不同,设置 CAPCUT_DRAFT_ROOT 或给脚本传 --output-dir / --draft-root。

生成草稿

bash
node <skill-dir>/scripts/create-capcut-draft.mjs \
  --template "PL-magicrep-PV-001" \
  --video "/path/to/ai-video.mp4" \
  --name "ai-video-capcut-001" \
  --captions "Line 1\nLine 2\nLine 3" \
  --split-at 7.5

常用参数:

参数说明
--template已存在的 CapCut 草稿目录名
--video本地 AI 视频路径
--name新草稿目录名和首页显示名
--captions字幕文本,可用 \n 分行
--srtSRT 字幕文件,替代 --captions
--split-at视频切分点,转场会挂在切点前一段
--no-transition不复制模板转场
--no-captions不生成字幕轨道
--output-dir自定义 CapCut 草稿根目录
--force同名草稿已存在时先替换

脚本会同步这些 CapCut 会读取的文件,避免草稿目录存在但首页不显示:

  • draft_info.json
  • draft_meta_info.json
  • draft_info.json.bak
  • template-2.tmp
  • Timelines/project.json
  • Timelines/<draft_info.id>/draft_info.json
  • Timelines/<draft_info.id>/template.tmp
  • Timelines/<draft_info.id>/template-2.tmp
  • root_meta_info.json

生成后如果 CapCut 已打开,完全退出再打开,让首页重新加载 root_meta_info.json。

验证草稿

bash
node <skill-dir>/scripts/validate-capcut-draft.mjs \
  --draft "ai-video-capcut-001" \
  --stale-marker "OLD_TEMPLATE_NAME"

验证点包括:

  • root 索引是否有对应条目
  • draft_info.id 与 Timelines/<id>、project.json 是否一致
  • 顶层和嵌套 draft_info/template 副本是否同步
  • 视频素材路径是否存在
  • 是否有旧模板名或旧素材路径残留

提取模板样式

bash
node <skill-dir>/scripts/extract-template-styles.mjs \
  --template "PL-magicrep-PV-001" \
  --output ./capcut-template-styles.json

输出包含字幕样式、转场、动画、特效、画布和轨道结构。

AI 痕迹检查

对单个视频抽帧:

bash
node <skill-dir>/scripts/extract-ai-artifact-frames.mjs \
  --video "/path/to/ai-video.mp4" \
  --output-root ./ai-artifact-qa

对 CapCut 草稿时间线抽帧:

bash
node <skill-dir>/scripts/extract-ai-artifact-frames.mjs \
  --draft "ai-video-capcut-001" \
  --output-root ./ai-artifact-qa

批量检查本地目录:

bash
node <skill-dir>/scripts/extract-ai-artifact-frames.mjs \
  --video-dir "/path/to/videos" \
  --output-root ./ai-artifact-qa

阅读 references/ai-artifact-qa.md 获取判定标准和 review JSON 结构。

修复规划

bash
node <skill-dir>/scripts/plan-ai-artifact-fixes.mjs \
  --review ./ai_artifact_review.json \
  --output ./ai_artifact_fix_plan.json

RIFE 补帧

阅读 references/smart-frame-interpolation.md。常用命令:

bash
node <skill-dir>/scripts/smart-frame-interpolate.mjs \
  --input "/path/to/source.mp4" \
  --output "/path/to/source_60fps_rife.mp4"

故障排查

先运行:

bash
node <skill-dir>/scripts/validate-capcut-draft.mjs --draft "<draft-name>"

常见问题见 references/failure-modes.md。

脚本清单

脚本用途
scripts/create-capcut-draft.mjs基于模板生成可显示的 CapCut 草稿
scripts/validate-capcut-draft.mjs验证单个草稿结构和索引
scripts/extract-template-styles.mjs提取模板样式
scripts/extract-ai-artifact-frames.mjs对视频/草稿抽帧生成 contact sheet
scripts/plan-ai-artifact-fixes.mjs根据 review JSON 规划修复窗口
scripts/smart-frame-interpolate.mjs本地 RIFE 补帧

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bggg Tiktok Capcut AI skill do?

通用 CapCut 草稿生成与 AI 视频检查 skill。用于把本地 AI 视频套用现有 CapCut 草稿模板, 生成可在 CapCut 首页显示并可编辑的新草稿;也用于提取模板样式、验证草稿结构、抽帧检查 AI 痕迹、规划修复窗口和做本地 RIFE 补帧。

Why use Bggg Tiktok Capcut on TypingMind?

Because you install it once and use it with any model. Bggg Tiktok Capcut is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bggg Tiktok Capcut in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/binggandata/bggg-skills/tree/main/bggg-tiktok-capcut. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bggg Tiktok Capcut?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bggg Tiktok Capcut?

As many as you like. As long as a model supports skills, you can use Bggg Tiktok Capcut with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bggg Tiktok Capcut AI skill free?

Yes. It is published on GitHub by binggandata under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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