The problem

Content creators and marketing teams often waste dozens of hours filming and editing videos only to have them flop due to poor search intent or weak curiosity gaps. Without a pre-production vetting process, it is impossible to know if a video idea has the retention potential to survive the YouTube algorithm.

What it does

• Evaluates video topics against a 100-point scoring rubric including demand, curiosity, and search intent.
• Constructs detailed target viewer profiles to align content with specific audience pain points.
• Provides actionable feedback on titles and hooks to improve click-through rates.
• Identifies production risks, including copyright concerns and unsafe content claims.
• Generates a prioritized content shortlist to determine which videos to film first.

Why this beats prompting it yourself

This skill applies a standardized, multi-step validation framework that prevents the "yes-man" bias common in basic LLM chats. It forces objective scoring across ten distinct categories, ensuring you don't overlook monetization alignment or production feasibility in favor of mere trend-chasing.

Use cases

• Compare multiple video topics to see which has the highest ROI potential.
• Audit a content calendar to remove low-value or high-risk ideas before filming.
• Optimize titles and thumbnail concepts for existing video drafts.
• Pivot a channel's niche by validating ideas against a new target audience profile.

Known limitations

Does not provide actual search volume metrics or real-time analytics data. Requires manual input of channel niche and viewer goals for accurate scoring.