A specialized guide for mastering video editing rhythms, cut timing, and energy mapping to maximize viewer retention across social platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sv-pacing-guide
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 sv-pacing-guide using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Short Video Pacing & Rhythm Guide is a high-performance framework designed to solve the common problem of high viewer drop-off rates. By leveraging professional editing techniques like energy curve mapping and beat synchronization, this skill helps creators transform static footage into dynamic, engaging narratives that hold attention from start to finish.
Integrating this tool into your production pipeline ensures that every cut serves a purpose. Whether you are producing rapid-fire promos or long-form storytelling, the guide provides the structural blueprint needed to align visual transitions with auditory cues, making it an essential addition to the Openclaw Skills library for modern digital marketers and editors.
To install this skill within your environment, use the following commands:
# Clone the repository
openclaw install short-video-pacing-guide
# Initialize the skill configuration
openclaw init pacing-rhythm
Ensure your project is updated to the latest version of Openclaw Skills to support the energy curve mapping features.
The skill organizes output data into a structured format for easy implementation in NLE (Non-Linear Editing) software:
| Data Component | Description |
|---|---|
| Pacing Plan | A table of timestamped segments and recommended actions. |
| Cut Rhythm | Detailed instructions on the frequency and intensity of cuts. |
| BGM Sync Guide | Alignment markers for audio waveforms and visual transitions. |
| Energy Metadata | Text-based description of the video's psychological intensity curve. |
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