video-workbench/VIDEO_WORKBENCH.md

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# VIDEO_WORKBENCH.md
## 1. Workspace Identity
This project is the dimensional video output workspace.
It turns deep source material into public-facing short video production packages. It is optimized for accessibility, rhythm, metaphor, visual planning, and asset preparation.
## 2. Operating Principle
One video should usually explain one or two points.
The goal is not to compress a deep article into a shorter article. The goal is to extract a public-facing angle from a deep model or essay and rebuild it as a video-native experience.
## 3. Source Inputs
Typical sources:
```text
knowledge-vault/sayings
knowledge-vault/rules
knowledge-vault/sources
knowledge-vault/discussions
```
Common inputs:
- one long essay
- one human-facing model document
- selected source notes
- Deep Research reports
- a target audience/topic
- optional series plan
## 4. Production Types
Use `series/` when a long essay or model needs multiple episodes.
Use `standalone/` when the output is a single independent video.
Recommended project ids:
```text
series/active/YYYY-MM-DD-sNNN-temp-series/
standalone/active/YYYY-MM-DD-vNNN-temp-topic/
```
Do not rely on final titles in folder names. Titles can evolve inside `series.md`, `episode.md`, or publishing files.
## 5. Canonical Episode Stages
The workflow maps to the user's prior dimensional output process:
```text
00-architecture = series/episode architecture, source selection, word budget
01-proposals = three distinct angle proposals
02-tone-outline = selected angle, core anchor, metaphor, visual style, global prompt
03-storyboard = storyboard logic and time budget
04-deep-production = shot-level visual plan, image prompts, voiceover, design notes
05-assets = generated images, audio, optional video clips, asset log
06-editing = manual edit notes and timeline plan
07-publish = title options, description, platform copy, final script
08-review = review notes and postmortem
```
## 6. Word Budget
Use the default standard:
```text
1 minute = about 220 Chinese characters of voiceover
10 minutes = about 2200 Chinese characters
```
Adjust only when the user specifies a different narration speed.
## 7. Asset Policy
Image and audio generation can be automated when APIs and models are available.
Video generation from images remains manual or semi-manual for now because output reliability varies.
Editing and publishing are human-controlled in the initial version.
## 8. CCPE Consumption
Video Workbench consumes CCPE assets from:
```text
C:\Users\wangq\Documents\Codex\ccpe-system
```
Likely assets:
- Qiangge's Apprentice / dimensional output actor
- series architect
- angle proposal skill
- video outline skill
- storyboard skill
- shot deep-production skill
- image prompt generator
- voiceover script generator
- visual style model card
- short video production runtime
Do not duplicate canonical CCPE definitions here. Use `ccpe-consumption/` for links and usage notes.