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Prototype Reconstruction System:AIGC 短片创作的原型重构多智能体工作流

面向 AIGC 短片创作者的参考视频分析与重构系统,通过 Master Agent + A0-A11 多智能体协作,将创意短片拆解为可迁移的电影方法论,支持 Image2 和 Seedance 2.0 后端生产。

AIGC视频生成Image2Seedance多智能体工作流视频分析原型重构电影方法论提示词工程
发布时间 2026/06/02 02:44最近活动 2026/06/02 02:55预计阅读 5 分钟
Prototype Reconstruction System:AIGC 短片创作的原型重构多智能体工作流
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章节 01

Prototype Reconstruction System: A Multi-Agent Workflow for AIGC Short Film Creation

Core Idea: A multi-agent workflow system for AIGC short film creators, focusing on "method复刻而非内容复制" (reproduce film methodology instead of copying content). Key Features:

  • Coordinated by Master Agent + 12 sub-agents (A0-A11) to拆解优秀创意短片 into transferable film methodologies.
  • Supports Image2 and Seedance 2.0 backend production. Source:
  • Author/Maintainer: wp746
  • Platform: GitHub
  • Repo: prototype-reconstruction-system
  • Release Date: 2026-06-01
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章节 02

Background: Pain Points in AIGC Video Creation

AIGC video tools like Image2 and Seedance are advancing, but creators face key issues:

  1. Creative Understanding: Hard to grasp why a reference is good (e.g., lens language, rhythm) and transfer it to own work.
  2. Production Field Gap: Traditional video analysis only describes frames, lacking actionable fields for Image2/Seedance (e.g., prompt words for composition/rhythm).
  3. Copyright Risk: Copying references may infringe on IP, but replacing elements while retaining core methodology is challenging. 12 Key Pain Points: Includes creative comprehension, copyright avoidance, missing production fields, misjudged camera movement/rhythm, style transfer difficulties, etc.
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章节 03

System Architecture & Workflow

Architecture: Master Agent + 12 sub-agents (A0: task control, A1: copyright check, A2: video analysis, ..., A11: QA). Three Branches:

  • A Line: Asset Direct Output (for users with existing assets; uses asset responsibility isolation model).
  • B Line: Storyboard Control (for prioritizing lens order/composition; uses clean black-white storyboards).
  • C Line: Text Direct Output (for quick validation without assets/storyboards; uses compact causal locks). Core Workflow:
  1. Input processing & copyright audit → 2. Video analysis & DNA拆解 →3. Variable/invariant separation →4. New film mapping & compliance →5. Backend handover (generate Image2/Seedance prompts).
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章节 04

Key Technical Highlights & Solutions

Solutions: Addresses 12 key pain points in AIGC video creation. Technical Highlights:

  1. DNA_SIGNOFF: Must pass DNA forensics before production to ensure correct methodology extraction.
  2. Asset Responsibility Isolation: A line uses strict asset separation (identity/environment/prop/execution/payoff) to avoid confusion.
  3. Storyboard规范: Uses WHITE_STORYBOARD_SHEET_TEMPLATE with 10 fixed sections for Image2 prompts.
  4. Clear Reference Mechanism: A/B lines use explicit references (e.g., "参考 A01 / M03 FACE CLOSE-UP") for accurate asset usage.
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章节 05

Project Significance & Usage

Significance:

  • Evolves AIGC video creation from "prompt engineering" to "methodology engineering".
  • Enables creators to learn film language without copying content; improves team production efficiency and quality stability. Usage:
  1. Install as Skill: git clone https://github.com/wp746/prototype-reconstruction-system.git
  2. Core SOP: Link
  3. Recommended Call: Invoke the skill with reference material (video/link/screenshot/asset package) and request DNA拆解 + A/B/C branch output.