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Bggg Tiktok Capcut

  • 4 installs
  • 553 repo stars
  • Updated August 5, 2026
  • binggandata/bggg-skills

bggg-tiktok-capcut is a skill that generates editable CapCut drafts from a template and checks AI video for artifacts.

About

This skill generates new CapCut drafts by applying an existing CapCut template to a local AI video, producing drafts that appear on the CapCut home screen and stay editable. It extracts template caption styles, transitions, and effects, validates that a draft will be indexed, and samples frames to check for AI artifacts. It also does local RIFE frame interpolation. A developer uses it to prepare AI videos for CapCut editing.

  • Generates editable CapCut drafts from an existing template and a local AI video
  • Extracts template caption styles, transitions, animations, and effects
  • Samples frames to check AI artifacts and does local RIFE frame interpolation

Bggg Tiktok Capcut by the numbers

  • 4 all-time installs (skills.sh)
  • Ranked #1,139 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

bggg-tiktok-capcut capabilities & compatibility

Capabilities
video generation
Use cases
video generation
Platforms
macOS
From the docs

What bggg-tiktok-capcut says it does

通用 CapCut 草稿生成与 AI 视频检查 skill。
SKILL.md
基于现有 CapCut 草稿模板生成新草稿
SKILL.md
用本地 RIFE 做高质量补帧预处理
SKILL.md
npx skills add https://github.com/binggandata/bggg-skills --skill bggg-tiktok-capcut

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Listed on Skillselion
Installs4
repo stars553
Last updatedAugust 5, 2026
Repositorybinggandata/bggg-skills

What it does

Generate an editable CapCut draft from a template and a local AI video, and QA it for AI artifacts.

Who is it for?

Applying a CapCut template to a local AI video to make an editable draft and QA'ing AI artifacts.

When should I use this skill?

A user wants to build a CapCut draft from a template or check an AI video for AI artifacts.

What you get

An editable CapCut draft that shows on the home screen, plus an AI-artifact QA report.

  • a CapCut draft directory
  • an AI-artifact QA contact sheet

By the numbers

  • 6 bundled scripts listed in the script inventory

Files

SKILL.mdMarkdownGitHub ↗

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:

$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

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

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.idTimelines/<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

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:

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:

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:

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

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:

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:

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

Related skills

FAQ

Where does it write the draft?

By default under $HOME/Movies/CapCut/User Data/Projects/com.lveditor.draft, configurable via CAPCUT_DRAFT_ROOT.

Why validate a draft?

To confirm the root index, draft_info.id, and material paths are consistent so CapCut displays the draft.

Generative Mediacontentdistribution

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