video-content-strategist

name	video-content-strategist
description	This skill should be used when the user asks to "plan video content", "create a video calendar", "optimize video SEO", "analyze thumbnail performance", "improve video titles", "schedule video production", or "build a YouTube strategy".
license	MIT + Commons Clause
metadata	{"version":"1.0.0","author":"borghei","category":"marketing","domain":"video","updated":"2026-04-02T00:00:00.000Z","tags":["video","youtube","content-calendar","thumbnail","seo","video-strategy"]}

Video Content Strategist Skill

Overview

Production-ready video content strategy toolkit for planning content calendars, analyzing thumbnail effectiveness, and optimizing video metadata for platform SEO. Designed for content creators, marketing teams, and video producers managing consistent video output across YouTube, TikTok, LinkedIn, and other platforms.

Quick Start

# Plan a video content calendar from topics and audience data
python scripts/video_content_planner.py topics.json --weeks 8 --frequency 3

# Analyze thumbnail text and composition patterns
python scripts/thumbnail_analyzer.py thumbnails.csv

# Optimize video titles, descriptions, and tags for SEO
python scripts/video_seo_optimizer.py video_data.json --platform youtube

Tools Overview

Tool	Purpose	Input	Output
video_content_planner.py	Content calendar generation	JSON with topics/audience	Weekly calendar + production schedule
thumbnail_analyzer.py	Thumbnail pattern analysis	CSV with thumbnail data	Optimization recommendations
video_seo_optimizer.py	Video metadata SEO	JSON with video details	Optimized titles, descriptions, tags

Workflows

Workflow 1: Monthly Video Strategy

1. Define audience personas and content pillars in topics JSON
2. Run video_content_planner.py to generate 4-week calendar
3. For each planned video, run video_seo_optimizer.py for metadata
4. After publishing, collect thumbnail data and run thumbnail_analyzer.py
5. Feed learnings back into next month's planning cycle

Workflow 2: YouTube Channel Optimization

1. Export existing video data (titles, descriptions, tags, performance)
2. Run video_seo_optimizer.py on underperforming videos to identify metadata gaps
3. Run thumbnail_analyzer.py on top vs bottom performers
4. Apply optimizations to existing videos and use patterns for new content

Workflow 3: Multi-Platform Video Strategy

1. Create topics JSON with platform-specific audience data
2. Run video_content_planner.py with --platforms youtube,tiktok,linkedin
3. Get platform-adapted content recommendations
4. Optimize each platform's metadata with video_seo_optimizer.py

Reference Documentation

See references/video-strategy-guide.md for comprehensive frameworks covering:

• Content pillar strategy
• Platform-specific best practices
• Thumbnail design principles
• Video SEO fundamentals
• Production workflow optimization

Common Patterns

Pattern: Topics JSON Format

{
  "channel": "TechStartupTV",
  "audience": {
    "primary": "SaaS founders, 25-45",
    "interests": ["startup growth", "fundraising", "product development"],
    "pain_points": ["scaling teams", "finding product-market fit", "managing burn rate"]
  },
  "content_pillars": [
    {"name": "Founder Stories", "ratio": 0.3, "format": "interview", "avg_length_min": 25},
    {"name":       
           
           
  
   
         
         
         
  

Pattern: Thumbnail CSV Format

video_id,title,views,ctr_pct,has_face,has_text,text_words,colors_dominant,emotion
V001,How to Scale,15000,8.2,yes,yes,3,red-yellow,surprise
V002,Tech Review,8500,4.1,no,yes,5,blue-white,neutral

Platform Video Length Guidelines

Platform	Optimal Length	Max Recommended
YouTube (standard)	8-15 min	25 min
YouTube Shorts	30-60 sec	60 sec
TikTok	30-90 sec	3 min
LinkedIn	1-3 min	10 min
Instagram Reels	15-60 sec	90 sec