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Video Content Analyzer

skill-bradautomates-head-of-content-video-content-analyzer · by bradautomates

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Install

$ agentstack add skill-bradautomates-head-of-content-video-content-analyzer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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

| Arg | Description | |-----|-------------| | --input, -i | Input JSON file with outlier posts (required) | | --output, -o | Output JSON file for results (required) | | --platform, -p | Platform: instagram, tiktok, or youtube (default: instagram) | | --max-videos, -n | Max 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:

| Platform | Video URL Fields | Caption | Username | |----------|-----------------|---------|----------| | Instagram | videoUrl | caption | ownerUsername | | TikTok | videoUrl, video_url, webVideoUrl | text, desc | authorUsername | | YouTube | videoUrl, url | title | channelTitle |

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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