video-storytelling-core-principles

Reviews AI video scripts against concrete visual storytelling and pacing rules.

1.2k|126|Updated Mar 14, 2025
One-click install
npx skills add https://github.com/inclusionAI/AWorld --skill video-storytelling-core-principles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-storytelling-core-principles
Source: https://github.com/inclusionAI/AWorld/tree/main/aworld-skills/video_script_review
Command: npx skills add https://github.com/inclusionAI/AWorld --skill video-storytelling-core-principles

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-generated video scripts often rely on abstract jargon, weak visual logic, and poor pacing, producing videos where the story cannot be understood without narration. This Skill provides a structured checklist of storytelling principles to review and improve video scripts before production.

Core Features & Use Cases

  • Concrete Visual Rules: Enforces the "smoke and fire" rule, replacing abstract buzzwords with lived-in, physically detailed scenes and tactile material descriptions.
  • Mute Test and Visual Contrast: Validates that the story reads without audio, with problem and solution shown through action contrast rather than voiceover explanation.
  • Camera, Sync, and Pacing Guidance: Covers physics-driven camera motion, in-scene transitions, character consistency, multi-speaker lip-sync timelines, three-act structure, and Mandarin VO speed (~4.5 chars/s).
  • Use Case: A creator drafts a 60-second AI video script about multi-agent teamwork; use this Skill to check that failure causes are physically visible, transitions avoid black cuts, and the VO leaves breathing room for action and SFX.

Quick Start

Review my 60-second AI video script against the core storytelling principles and point out scenes that fail the mute test or lack visible physical causes.

Frequently Asked Questions about video-storytelling-core-principles

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review an AI video script for visual storytelling quality?

Check each scene against the mute test: mute the narration and verify the setup, turn, and payoff still read through action contrast alone. Then confirm failures and successes have visible physical causes rather than abstract labels.

What is the mute test for video scripts?

The mute test requires that the picture tells the story without audio. Voiceover should annotate the image, not carry it; problem and solution must be shown through visual contrast, such as a character struggling solo versus working calmly with help.

How fast should Mandarin voiceover be in a short AI video?

Keep Mandarin voiceover at or below roughly 4.5 characters per second. Cut copy before cramming frames so there is time for physical acting, sound effects, and the viewer's eye to rest.

How do I handle transitions between scenes in AI-generated video?

Avoid arbitrary black frames or hard cuts. Bridge shots with moving or glowing elements already in frame, such as a flour speck whiting out the lens into a new scene or a glowing icon expanding to reveal the next shot.

How do I keep characters consistent across AI video shots?

Require stable identity in diffusion video prompts: same character, outfit, hairstyle, and framing unless a deliberate occlusion or scene reset occurs. Add an explicit style line such as "same person, same clothes, same hairstyle as previous shot."

What are the limitations of abstract concepts in AI video scripts?

Abstract buzzwords like "system" or "empowerment" cannot be visualized directly and produce vague staging. Map ideas to concrete everyday scenes with physical texture, such as kitchen sprites dividing cake work to represent multi-agent teamwork.