Video Content Analyzer
Takes video URLs from Instagram Reels, TikTok, or YouTube Shorts and runs them through Gemini's vision API to break down what makes them work. You get structured analysis of the hook technique, content format, pacing, and CTA strategy for each video. Useful when you're studying viral content and want to extract replicable patterns instead of just guessing why something performed well. The output categorizes hooks into ten types (pattern interrupt, curiosity gap, bold claim, etc.) and formats into eight structures (problem solution, listicle, tutorial, etc.). Fair warning: TikTok URLs are tricky since the scraper returns web page links rather than direct video files, so Gemini has to work with what it can access from the page.
- install copies · 90 days. Times the install command was copied on this site in the last 90 days, bots filtered.
- 5
- skills.sh installs
- 874
- GitHub stars
- 309
- last updated
- Aug 21, 2026
Install
$ npx -y skills add bradautomates/head-of-content --skill video-content-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
Files
Video Content Analyzer
Analyze short-form videos with Gemini AI to extract hooks, content structure, delivery style, and CTA strategies.
Prerequisites
GEMINI_API_KEYenvironment variablegoogle-genaiandrequestsPython 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:
Sponsors
Agent CaffeineSponsoredClose your lid, come back to finished work
SnugSponsoredThe clipboard manager for the AI eraPromote your product hereReach 125k+ visitors monthly
WaxSponsoredBlock anything with supervision, without erasing your iPhonePromote your product hereReach 125k+ visitors monthly
knobsSponsoredSee your site on any phone, any day, in any languageDetails
- Repository
- github.com/bradautomates/head-of-content
- Category
- Frontend Development
- First seen
- Jun 3, 2026
More from bradautomates/head-of-content
All 4Recommended
More Frontend Development
mobile-first-designaj-geddes/useful-ai-promptsDesign for mobile devices first, then scale up to larger screens. Create responsive interfaces that work seamlessly across all device sizes.869skills.sh installs
electron-best-practicesjwynia/agent-skillsGuide AI agents through Electron app development with React including security patterns, type-safe IPC, React integration, packaging with code signing, and test863skills.sh installs
package-usagepulumi/agent-skillsTrack which stacks across a Pulumi organization use a specific package and at what versions. Use for cross-stack audits, identifying outdated or unmaintained pa860skills.sh installs
tanstack-querypproenca/dot-skillsTanStack Query v5 performance optimization for data fetching, caching, mutations, and query patterns. This skill should be used when using useQuery, useMutation858skills.sh installs
warehouse-initastronomer/agentsInitialize warehouse schema discovery. Generates .astro/warehouse.md with all table metadata for instant lookups. Run once per project, refresh when schema chan841skills.sh installs
effect-best-practicesmakisuo/skillsEnforces Effect-TS patterns for services, errors, layers, and atoms. Use when writing code with Effect.Service, Schema.TaggedError, Layer composition, or effect841skills.sh installs