125 lines
4.3 KiB
Markdown
125 lines
4.3 KiB
Markdown
# CCPE System Handoff For Video Workbench
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This document is the handoff for future work in:
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```text
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C:\Users\wangq\Documents\Codex\ccpe-system
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```
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It records the CCPE assets needed to support Video Workbench.
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## Core Principle
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Use scenario-first layering.
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Do not force every old prompt into Skill, Agent, and Runtime layers. Preserve a working Lite kernel when it is the correct production form. Promote to Agent Spec, Skill, Model Card, or Runtime only when the video workflow needs that layer.
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## Existing Actor To Upgrade
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Previous single-agent actor:
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```text
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强哥的徒弟
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```
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Likely first target:
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```text
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agents/lite/qiangge-apprentice.prompt.md
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```
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Purpose:
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```text
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Transform deep essays and models into public-facing short video plans, scripts, visual prompts, and production packages.
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```
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This actor should remain a CCPE-owned local work asset. Video Workbench may request, consume, and validate it, but should not store its canonical prompt or agent definition.
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## Recommended CCPE Build Sequence
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1. Upgrade `强哥的徒弟` into a verified CCPE-Lite artifact.
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2. Validate it through a real Video Workbench project when the user starts one.
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3. Preserve regression tests against the original workflow:
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- angle proposals
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- video outline
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- storyboard logic
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- shot deep production
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4. Run Scenario Probe before promoting to Agent Spec or Skill.
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5. Extract stable embedded models into Model Cards only when they are reusable beyond this actor.
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6. Build small Skills only for repeatable actions:
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- source-to-episode splitter
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- angle proposal generator
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- global visual style builder
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- storyboard logic builder
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- shot deep-production generator
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- image prompt generator
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- voiceover script generator
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- publish copy generator
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7. Build a `Short Video Production Runtime` only after the core stages are stable.
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8. Validate the runtime with a trial Video Workbench project.
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## Candidate Asset Map
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| Asset | Candidate Type | Purpose |
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| --- | --- | --- |
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| Qiangge's Apprentice | CCPE-Lite / Agent Spec | Primary dimensional output actor |
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| Dimensional Output Model | Model Card | Extract deep model into public-facing point |
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| Series Architect | Agent / Skill | Split long essay/model into episodes |
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| Angle Proposal Generator | Skill | Produce three distinct entry angles |
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| Tone And Outline Builder | Skill | Produce video outline and global style |
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| Storyboard Logic Builder | Skill | Produce shot logic with timing and word budget |
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| Shot Deep Production | Skill | Produce visual plan, image prompt, voiceover, design notes |
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| Image Prompt Generator | Skill | Generate consistent image prompts |
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| Voiceover Script Generator | Skill | Fit narration to duration budget |
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| Short Video Production Runtime | Runtime | Coordinate full video package production |
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## Runtime Boundary
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The first runtime should stop at a production package:
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- selected angle
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- video outline
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- storyboard logic
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- shot deep-production files
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- image prompts
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- voiceover script
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- optional image/audio assets
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- editing notes
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- publishing copy
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Do not automate manual editing or platform publishing in the first version.
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## Relationship To Writing Runtime
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Article production and video production should remain separate runtimes.
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They share sources and sometimes models, but they differ in:
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- target output
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- audience
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- timing constraints
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- visual constraints
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- asset generation
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- evaluation criteria
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## Relationship To Deployable Systems
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CCPE can design local work agents and can also specify production/business agents for deployable systems. For deployable systems, CCPE owns specifications, boundaries, authority, evaluation, and invocation contracts.
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Implementation that depends on LangGraph, CrewAI, server deployment, persistence, monitoring, or product runtime constraints belongs in the target software project, such as a future `work-projects` repository. Video Workbench remains the local workflow and production-record workspace.
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## Validation Target
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The first validation project should use one existing deep essay and one existing model document from Knowledge Vault.
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Expected success:
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- a clear episode or standalone scope
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- three genuinely different angles
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- a selected angle trace
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- a coherent visual/narration protocol
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- a complete storyboard
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- shot-level prompts and voiceover
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- a package ready for manual editing
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