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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。
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/binggandata/bggg-skills --skill bggg-tiktok-capcut명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Generate Amazon and cross-border ecommerce product images from a product business card. Use when the user asks for a white-background image, showcase image, selling-point image, hero image, detail image, lifestyle image, one or more ecommerce images, or a complete image set. Always collect the business card first, then confirm image types, output location, filenames, and the generation plan before creating images.
Collect Amazon.com written product reviews at scale through Woot's public review AJAX route, retain every attempt and error log, reconcile partial runs, and normalize exact review text into auditable JSONL. Use for VOC, competitor review mining, low-star complaint analysis, listing research, or batch ASIN review acquisition without Amazon credentials. Amazon data layer of the bggg VOC suite (shared project folder; orchestrated by industry-orchestrator, reported by bggg-voc-report).
Collect auditable Reddit search results and full comment trees at scale, preserve the source JSON, and normalize posts and comments into analysis-ready JSONL. Use for VOC, market research, community discovery, keyword snowballing, or any task that needs Reddit post and comment text without inventing unavailable fields. Reddit data layer of the bggg VOC suite (shared project folder; orchestrated by industry-orchestrator, reported by bggg-voc-report).
SOC 직업 분류 기준
SKILL.md 표시 중
| name | bggg-tiktok-capcut |
| description | 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。 |
这个 skill 只保留通用能力：
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。
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 |
--srt | SRT 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.jsondraft_meta_info.jsondraft_info.json.baktemplate-2.tmpTimelines/project.jsonTimelines/<draft_info.id>/draft_info.jsonTimelines/<draft_info.id>/template.tmpTimelines/<draft_info.id>/template-2.tmproot_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。
node <skill-dir>/scripts/validate-capcut-draft.mjs \
--draft "ai-video-capcut-001" \
--stale-marker "OLD_TEMPLATE_NAME"
验证点包括：
draft_info.id 与 Timelines/<id>、project.json 是否一致draft_info/template 副本是否同步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。
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。
node <skill-dir>/scripts/plan-ai-artifact-fixes.mjs \
--review ./ai_artifact_review.json \
--output ./ai_artifact_fix_plan.json
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"
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 | 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 |