A two-phase AI-powered workflow for generating narrated short-form videos with human review checkpoints and automated FFmpeg assembly.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-short-creator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install video-short-creator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Video Short Creator?
The Video Short Creator is a comprehensive tool designed for Openclaw Skills that streamlines the production of short-form social media and technical content. It bridges the gap between raw scripts and finished videos by automating narration generation, subtitle timing, and complex video editing tasks. By utilizing a human-in-the-loop approach, it ensures that every Openclaw Skills project maintains high quality through mandatory review steps before the final rendering phase.
This skill is particularly effective for creators who need to transform research papers, technical articles, or marketing copy into visually engaging videos. It leverages edge-tts for high-quality voiceovers and FFmpeg for robust video processing, making it a powerful addition to the library of Openclaw Skills.
Video Short Creator Use Cases
- Creating AI-driven paper explanation videos for social media platforms.
- Generating narrated technical tutorials from markdown or documentation sources.
- Producing automated marketing shorts from a library of stock footage and a script.
- Rapidly prototyping video content with professional-grade transitions and burned-in subtitles using Openclaw Skills.
How Video Short Creator Works
- Material Analysis: The skill scans provided source clips and analyzes the narration script or reference documents.
- Script Mapping: It organizes narration into segments and maps them to specific time-stamped video clips.
- TTS Generation: Generates audio files using edge-tts and extracts precise subtitle timing data.
- Human Review: Exports a review sheet for the user to approve narration, timing, and clip selection.
- Video Processing: Executes a multi-step FFmpeg pipeline to clip, scale, and concatenate video segments.
- Final Assembly: Burns subtitles into the video, applies transitions like xfade, and merges the final audio track.
Video Short Creator Setup
To get started with this skill in the Openclaw Skills framework, ensure you have the necessary dependencies installed:
# Install FFmpeg for video processing
winget install FFmpeg
# Install edge-tts for AI narration
pip install edge-tts
Note: Ensure the SimHei font is installed on your system for proper subtitle rendering.
Video Short Creator Data Schema & Taxonomy
The skill organizes project data using a structured Python dictionary and markdown files:
| Component | Type | Description |
|---|---|---|
| SCRIPT | Python List | Contains segment IDs, narration text, and source clip mappings. |
| subtitle_review.md | Markdown | A review sheet for human validation of timing and text. |
| clip_inventory | Table | A metadata log of all source videos including resolution and duration. |
| final_output | .mp4 | The rendered video stored in the output directory. |
Video Short Creator Advanced Features
- Human-in-the-loop checkpoints to ensure subtitle and narration accuracy.
- Automated xfade transitions between video segments for a professional cinematic feel.
- Dynamic script generation from external URLs or reference markdown files.
- Robust subtitle rendering system that avoids shell escaping issues on Windows.
- Support for custom voice profiles and target resolutions within Openclaw Skills.
SKILL.md
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