video-content-strategist
Installation
SKILL.md
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
- Define audience personas and content pillars in topics JSON
- Run
video_content_planner.pyto generate 4-week calendar - For each planned video, run
video_seo_optimizer.pyfor metadata - After publishing, collect thumbnail data and run
thumbnail_analyzer.py - Feed learnings back into next month's planning cycle
Workflow 2: YouTube Channel Optimization
- Export existing video data (titles, descriptions, tags, performance)
- Run
video_seo_optimizer.pyon underperforming videos to identify metadata gaps - Run
thumbnail_analyzer.pyon top vs bottom performers - Apply optimizations to existing videos and use patterns for new content
Workflow 3: Multi-Platform Video Strategy
- Create topics JSON with platform-specific audience data
- Run
video_content_planner.pywith--platforms youtube,tiktok,linkedin - Get platform-adapted content recommendations
- 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": "Tactical Guides", "ratio": 0.4, "format": "tutorial", "avg_length_min": 12},
{"name": "Industry Analysis", "ratio": 0.2, "format": "commentary", "avg_length_min": 8},
{"name": "Behind the Scenes", "ratio": 0.1, "format": "vlog", "avg_length_min": 5}
],
"topics": [
{"title": "How We Hit $1M ARR", "pillar": "Founder Stories", "priority": "high"},
{"title": "5 Pricing Strategies That Work", "pillar": "Tactical Guides", "priority": "high"},
{"title": "AI in SaaS: 2026 Trends", "pillar": "Industry Analysis", "priority": "medium"}
]
}
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 |
| 1-3 min | 10 min | |
| Instagram Reels | 15-60 sec | 90 sec |