Analyze short-form videos with Gemini AI to extract hooks, content structure, delivery style, and CTA strategies.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvideo-content-analyzerExecute the skills CLI command in your project's root directory to begin installation:
Fetches video-content-analyzer from bradautomates/head-of-content and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate video-content-analyzer. Access via /video-content-analyzer in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Analyze short-form videos with Gemini AI to extract hooks, content structure, delivery style, and CTA strategies.
GEMINI_API_KEY environment variablegoogle-genai and requests Python packagespython3 .claude/skills/video-content-analyzer/scripts/analyze_videos.py \
--input outliers.json \
--output video-analysis.json \
--platform instagram \
--max-videos 5
| 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) |
Accepts outlier JSON from platform-specific research skills. Handles both formats:
[{post1}, {post2}, ...]{"outliers": [{post1}, {post2}, ...]}The script automatically maps platform-specific fields:
| Platform | Video URL Fields | Caption | Username |
|---|---|---|---|
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.
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": "..."
}
}
]
The analyzer identifies these hook types:
pattern-interrupt - Breaks expected patternsquestion - Opens with engaging questionbold-claim - Makes surprising statementstory-tease - Hints at compelling narrativevisual-shock - Striking visual openingcuriosity-gap - Creates information gapdirect-address - Speaks to specific audiencecontroversial-take - Polarizing opinionrelatable-pain - Targets common struggletransformation-preview - Shows before/afterproblem-solution - Present problem, offer fixlisticle - Numbered tips/itemsstory - Narrative arctutorial - Step-by-step how-tobefore-after - Transformation revealday-in-life - Lifestyle contentreaction - Response to other contenthot-take - Opinion piecetool-demo - Product/tool showcasePrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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video-content-analyzer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for video-content-analyzer matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in video-content-analyzer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
video-content-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend video-content-analyzer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added video-content-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: video-content-analyzer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: video-content-analyzer is the kind of skill you can hand to a new teammate without a long onboarding doc.
video-content-analyzer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
video-content-analyzer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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