AI Video Script Planner

Problem Addressed

Many AI video projects stall because story, narration, shots, assets, and generation prompts are planned separately. Audiences may not leave with a clear takeaway, camera moves lack information-driven reasons, generated characters drift across shots, and asset ownership remains ambiguous. This skill treats pre-production planning as an inspectable workflow: clarify the communication task first, then produce a script structure that can move directly into production.

How It Works

It starts from three input groups: audience and goal, content assets, and production constraints. It then generates a video brief, narrative skeleton, beat sheet, full storyboard, narration and on-screen text, generation prompts, and an asset inventory. Key constraints include: each beat must add new information or shift audience emotion; each shot must define duration, framing, camera movement, action, asset source, and fallback option; generated prompts should lock continuity anchors such as character, wardrobe, hair, age band, props, direction, and scene state; assets are categorized as must-shoot, generatable, existing, licensed, substitutable, or post-produced. A final pre-visualization or animatic check verifies real narration timing, total duration, silent comprehension, and whether key evidence remains visible.

Boundaries And Notes

It fits tutorials, product demos, knowledge explainers, brand stories, and case reviews where narration, shots, and assets must coordinate. If only a topic exists without verifiable facts, it proposes a draft brief and narrative directions instead of inventing cases. If budget or footage is limited, it preserves evidence shots and cuts decorative scenes or complex transitions first.