360 Secure SkillHub
360 安全技能中心

Reel Digest

接收 Instagram、YouTube、TikTok、X 等视频链接，调用 bash/Python 脚本下载视频、抽取关键帧并转写音频，再由模型结合转写文本与关键帧，输出含钩子、叙事结构、关键信息、视觉策略与商业信息的内容拆解报告；依赖 curl、ffmpeg、yt-dlp 与 faster-whisper。

casperzinou
casperzinou
热度 33.14
最近更新 2026-05-18 11:46:42
分类：数据依赖：代码执行 / 读写文件 / 内部调用大模型应用场景：研究 / 摘要总结 / 社交媒体 / 市场分析

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add reel-digest
Metadata
name
reel-digest
description
Download, transcribe, extract frames, and deeply analyze any video or reel from URL (Instagram, YouTube, TikTok, X, direct MP4). Use when user shares a video/reel URL and wants to understand its content, strategy, script, visual elements, or marketing breakdown. Triggers on "analyze this reel", "digest this video", "what's in this video", "break down this clip", or when any video URL is shared with intent to analyze. NOT for downloading videos to watch — only for AI-powered content analysis.

Reel Digest — Full Video Analysis Pipeline

Quick Start

Give this skill a video URL. It will download, extract frames, transcribe audio, and deliver a complete analysis.

Step 1: Download & Extract

Run the bash pipeline script (handles Instagram embed extraction, frame extraction, audio, and transcription):

bash scripts/ig-reel-dl.sh "<URL>" /tmp/reel-digest

This produces:

  • video.mp4 — original video
  • audio.wav — extracted audio (16kHz mono)
  • transcript.txt — Whisper transcription with timestamps
  • frames/ — key frames (1 per 5 seconds, 640px wide)

For non-Instagram URLs (YouTube, TikTok, etc.), use the Python script:

python3 scripts/reel-digest.py "<URL>" -o /tmp/reel-digest -f 10

Step 2: Analyze Frames

  1. Read transcript.txt for the spoken content
  2. Copy frames from /tmp to workspace directory (required for image tool)
  3. Analyze 4-8 key frames using the image tool
  4. Describe: on-screen text, UI, products, branding, visual style, transitions

Step 3: Synthesize

Combine transcript + frame analysis into a structured digest:

  1. Hook — Opening 3 seconds: what grabs attention?
  2. Narrative Arc — Frame-by-frame story
  3. Key Messages — Main points communicated
  4. Visual Strategy — Production quality, text overlays, aesthetic
  5. Engagement Tactics — What makes this shareable?
  6. Business Intel — Products, CTAs, pricing, competitive signals
  7. Viral Mechanics — Why this works for the algorithm

Step 4: Deliver

Present in clean, scannable format. Quote exact transcript text, describe exact visual elements. No generic advice.

Requirements

  • curl — HTTP requests
  • ffmpeg / ffprobe — video processing
  • yt-dlp — YouTube/TikTok downloads
  • faster-whisper (Python) — audio transcription

Troubleshooting

  • Instagram 403: CDN URLs expire fast. The bash script handles this with single-session extraction via tr -d '\\' on embed HTML
  • Vision model timeout: Resize frames to 360px: ffmpeg -i frame.jpg -vf scale=360:-1 small.jpg
  • Image tool path error: Files must be under workspace directory, not /tmp. Copy first.
  • Whisper OOM: Use --no-transcript flag, analyze frames only
  • No audio track: Some clips are visual-only. Use --no-audio flag.