# 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.