A professional-grade utility designed to extract high-value video segments by removing dead air, unnecessary intros, and trailing filler.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install creator-video-trimmer
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 creator-video-trimmer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Video Trimmer is a specialized tool within the Openclaw Skills ecosystem designed for creators, ecommerce teams, and operators who need to transform raw footage into concise, usable clips. It focuses on the critical 'useful part' of a video, eliminating the friction of manual scrubbing through long recordings.
By leveraging intelligent trim logic, this skill identifies the core substance of a file—whether it is a product demo, a specific quote, or a proof segment—and isolates it from the surrounding noise. This ensures that your output is not just shorter, but significantly more impactful for reviews, ads, or social publishing.
To integrate this capability into your environment, ensure your Openclaw Skills agent has access to the source media directory.
# Install the video-trimmer skill to your local agent
openclaw install video-trimmer
# Configure storage paths for processed clips
openclaw config set VIDEO_OUTPUT_DIR ./trimmed_assets
The skill organizes processed data using a structured output format to ensure traceability and further editing compatibility.
| Field | Description |
|---|---|
selected_range |
The specific timestamps (start/end) selected for the trim |
cut_rationale |
Technical or creative reasoning for the specific boundary choices |
target_use_case |
The intended destination (e.g., ad, highlight, internal review) |
refinement_notes |
List of any rough edges or additional post-production needed |
output-template.md references to maintain consistent reporting across large batches of video files.Loading
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