video-workbench/VIDEO_WORKBENCH.md

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:

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:

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:

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:

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:

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.