video-content-analyzer SKILL.md skillA

video-content-analyzer from bradautomates/head-of-content is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add bradautomates/head-of-content/video-content-analyzer@git:20260114.bdae5c6

Pins git:20260114.bdae5c6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
bradautomates/head-of-content
Path
.claude/skills/video-content-analyzer/SKILL.md
Versions recorded
1
Latest version
git:20260114.bdae5c6, committed Jan 14, 2026
Size
4,076 bytes
Repository stars
279
License
MIT

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…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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 |
|----------|-----------------|---------|----------|
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add bradautomates/head-of-content/video-content-analyzer@sha256:0271821f291b9212

The line at the top of this page pins the label git:20260114.bdae5c6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_nsoxyuofrorqt2pa.svg)](https://markdownregistry.com/a/art_nsoxyuofrorqt2pa)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jan 14, 2026.

versioncommittedcommitsizeaudit
git:20260114.bdae5c6 latest2026-01-14 bdae5c6 4,076 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4076 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

bradautomates/head-of-content · 279 stars · license MIT · pushed 2026-01-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_nsoxyuofrorqt2pa
GET https://markdownregistry.com/api/v1/resolve?ref=bradautomates/head-of-content/video-content-analyzer
GET https://markdownregistry.com/api/v1/blob/0271821f291b921267009dd3471c27a3942ba3e82741451966542ecedb1a9313

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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CLAUDE.md CLAUDE.md file
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