Video Content Analyzer

Community

bradautomates

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"

Overview

Publisher	bradautomates
Repository	`head-of-content`
Skill name	`video-content-analyzer`
Stars	281
Forks	47
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by bradautomates on GitHub. Read the source before you install it.

Installation

Install the Video Content Analyzer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/bradautomates/head-of-content/tree/main/.claude/skills/video-content-analyzer
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/bradautomates/head-of-content/tree/main/.claude/skills/video-content-analyzer

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/bradautomates/head-of-content.git /tmp/head-of-content
mkdir -p .claude/skills
cp -r /tmp/head-of-content/.claude/skills/video-content-analyzer .claude/skills/video-content-analyzer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Content Analyzer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Video Content Analyzer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Video Content Analyzer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

bash
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:

json
[
  {
    "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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/analyze_videos.py13 KB

Frequently asked questions

What does the Video Content Analyzer AI skill do?

Why use Video Content Analyzer on TypingMind?

Because you install it once and use it with any model. Video Content Analyzer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Video Content Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bradautomates/head-of-content/tree/main/.claude/skills/video-content-analyzer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Video Content Analyzer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Video Content Analyzer?

As many as you like. As long as a model supports skills, you can use Video Content Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Video Content Analyzer AI skill free?

Yes. It is published on GitHub by bradautomates under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Video Content Analyzer

Prerequisites

Usage

Parameters

Input Format

Output

Hook Techniques

Content Formats

Bundled files

Frequently asked questions

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