This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
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".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
Before planning, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
# 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
| 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 |
video_content_planner.py to generate 4-week calendarvideo_seo_optimizer.py for metadatathumbnail_analyzer.pyvideo_seo_optimizer.py on underperforming videos to identify metadata gapsthumbnail_analyzer.py on top vs bottom performersvideo_content_planner.py with --platforms youtube,tiktok,linkedinvideo_seo_optimizer.pySee references/video-strategy-guide.md for comprehensive frameworks covering:
{
"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"}
]
}
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 | 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 |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
日本語の概要は準備中です。原文の説明を表示しています。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
日本語の概要は準備中です。原文の説明を表示しています。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
日本語の概要は準備中です。原文の説明を表示しています。