MCPInstall

video-content-analyzer

Analyze short-form videos with Gemini AI to extract hooks, content structure, and replicable patterns. Supports Instagram Reels, TikTok, and YouTube Shorts. Use when asked to: - Analyze video content for hooks and structure - Extract replicable formulas from viral videos - Understand why a video performed well - Get AI analysis of video content patterns Triggers: "analyze videos", "extract hooks", "video analysis", "analyze reels", "what makes this video work", "hook analysis", "content structure analysis"

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/bradautomates/head-of-content --skill video-content-analyzer
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads video-content-analyzer automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Video Content Analyzer

Analyze short-form videos with Gemini AI to extract hooks, content structure, delivery style, and CTA strategies.

Prerequisites

  • GEMINI_API_KEY environment variable
  • google-genai and requests Python packages

Usage

python3 .claude/skills/video-content-analyzer/scripts/analyze_videos.py \
  --input outliers.json \
  --output video-analysis.json \
  --platform instagram \
  --max-videos 5

Parameters

ArgDescription
--input, -iInput JSON file with outlier posts (required)
--output, -oOutput JSON file for results (required)
--platform, -pPlatform: instagram, tiktok, or youtube (default: instagram)
--max-videos, -nMax videos to analyze (default: 5)

Input Format

Accepts outlier JSON from platform-specific research skills. Handles both formats:

  • Direct list: [{post1}, {post2}, ...]
  • Wrapped: {"outliers": [{post1}, {post2}, ...]}

The script automatically maps platform-specific fields:

PlatformVideo URL FieldsCaptionUsername
InstagramvideoUrlcaptionownerUsername
TikTokvideoUrl, video_url, webVideoUrltext, descauthorUsername
YouTubevideoUrl, urltitlechannelTitle

TikTok Note: The Apify TikTok Scraper returns webVideoUrl (the TikTok page URL) rather than a direct video download URL. Gemini will attempt to analyze from this page URL.

Output

Returns JSON array with analysis for each video:

[
  {
    "post_id": "ABC123",
    "username": "creator",
    "url": "https://...",
    "platform": "instagram",
    "likes": 50000,
    "comments": 1200,
    "views": 500000,
    "analysis": {
      "hook": {
        "technique": "pattern-interrupt",
        "opening_line": "Stop scrolling if you...",
        "attention_grab": "Creates urgency and targets specific audience",
        "replicable_formula": "Stop scrolling if you [pain point]"
      },
      "content_structure": {
        "format": "problem-solution",
        "sections": [...],
        "pacing": "fast",
        "retention_techniques": ["pattern interrupts", "text overlays"]
      },
      "delivery_style": {
        "speaking": "direct-to-camera",
        "energy": "high-energy",
        "text_overlays": true,
        "visual_style": "quick cuts with b-roll"
      },
      "cta_strategy": {
        "type": "follow",
        "cta_text": "Follow for more tips",
        "placement": "end"
      },
      "why_it_works": "..."
    }
  }
]

Hook Techniques

The analyzer identifies these hook types:

  • pattern-interrupt - Breaks expected patterns
  • question - Opens with engaging question
  • bold-claim - Makes surprising statement
  • story-tease - Hints at compelling narrative
  • visual-shock - Striking visual opening
  • curiosity-gap - Creates information gap
  • direct-address - Speaks to specific audience
  • controversial-take - Polarizing opinion
  • relatable-pain - Targets common struggle
  • transformation-preview - Shows before/after

Content Formats

  • problem-solution - Present problem, offer fix
  • listicle - Numbered tips/items
  • story - Narrative arc
  • tutorial - Step-by-step how-to
  • before-after - Transformation reveal
  • day-in-life - Lifestyle content
  • reaction - Response to other content
  • hot-take - Opinion piece
  • tool-demo - Product/tool showcase

FAQ

What does the video-content-analyzer skill do?

Analyze short-form videos with Gemini AI to extract hooks, content structure, and replicable patterns. Supports Instagram Reels, TikTok, and YouTube Shorts. Use when asked to: - Analyze video content for hooks and structure - Extract replicable formulas from viral videos - Understand why a video performed well - Get AI analysis of video content patterns Triggers: "analyze videos", "extract hooks", "video analysis", "analyze reels", "what makes this video work", "hook analysis", "content structure analysis"

How do I install video-content-analyzer?

Run npx skills add https://github.com/bradautomates/head-of-content --skill video-content-analyzer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/video-content-analyzer/ (personal) or .claude/skills/video-content-analyzer/ (project).

Which AI agents can use video-content-analyzer?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is video-content-analyzer safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains video-content-analyzer?

It is published by bradautomates in bradautomates/head-of-content. It has 838 recorded installs.

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