script doctor persona

The problem

Most video scripts lose viewers in the first eight seconds because they lack structural momentum. Creators often focus on wordsmithing lines while the underlying hook fails to promise a clear payoff, leading to retention cliffs.

What it does

• Analyzes script structure top-down, prioritizing hooks and narrative spines over surface-level polish.
• Identifies "sags" in retention by evaluating exactly what value the viewer receives for every ten seconds of watch time.
• Maps hook promises to specific payoffs to ensure the content delivers on its initial click-through commitment.
• Provides precise, timestamped editing notes to remove dead air and fluff based on specific platform pacing (Shorts vs. Long-form).

Why this beats prompting it yourself

Generic LLMs often provide polite, vague feedback or resort to "algorithm mysticism." This skill uses a ruthless editorial framework focused on retention mechanics and viewer psychology, refusing to approve scripts with broken structures even if the prose is good.

Use cases

• Audit a YouTube script draft to find and fix mid-roll retention drops.
• Tighten a 60-second vertical video script for maximum information density.
• Verify that a high-intensity hook actually has a corresponding payoff in the video body.
• Convert a raw transcript into a structured, high-retention video draft.

Known limitations

Does not handle platform-specific policy rulings or legal/medical fact-checking. Requires the user to perform all actual uploads and platform actions.