Cut as Code routes video requests to the right editing workflow and recovers project state without duplicating verified work.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cut-as-code
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install cut-as-code using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Cut as Code is the mandatory entry point for Project Protocol V1 video work. It determines the requested deliverable, checks the explicit project state when needed, and hands the task to the skill that owns the requested operation—such as cutting, color grading, captions, B-roll, or Shorts. This Openclaw Skills workflow keeps routing read-only and uses recorded project state rather than assumptions based on which files happen to exist.
For multi-operation requests, it coordinates prerequisites and a defined execution order, then directs the project to one shared main render after selected operations pass their checks. The entry point handles routing and recovery only; the selected leaf skill owns editorial decisions, review gates, rendering details, and self-checks.
work/project.json, work/timeline.json, and only the selected operation's relevant plan or evidence. Treat work/project.json as the shared manifest and determine progress from recorded status, revision, dependencies, checks, and render state.No standalone installation command or package manager is specified in the skill. Use Cut as Code as the entry point in an environment where this skill and its routed video skills are available.
/video-understand.build_render_plan.py and render_project.py from /video-understand. Run them only after selected active operations pass their gates.# Inspect the shared manifest and timeline from the explicit project root
cat work/project.json
cat work/timeline.json
The workflow treats the explicit project root as the boundary of a video project and work/project.json as its only shared manifest. It reads work/timeline.json for timeline state and consults only the selected operation's plan or evidence when routing.
| Data or state | Purpose |
|---|---|
work/project.json |
Shared project manifest; records operation state and is re-read between handoffs. |
work/timeline.json |
Timeline state; changes can invalidate Shorts candidate approval. |
| Operation plans and evidence | Operation-specific planning and verification inputs; inspect only what the selected operation needs. |
| Operation metadata | Use status, revision, based_on, and check to establish progress and whether work is current and verified. |
| Render state | Determines whether a delivery exists and whether it is ready for comparison or derivative finalization. |
final.mp4 and final/shorts/ |
Shorts planning must not create these; approved derivatives are finalized and extracted only after the verified main delivery exists. |
Directory presence alone does not establish completion. Preserve existing user changes and artifacts, do not re-run verified work, and resolve missing or stale dependencies before resuming the requested operation.
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