A cloud-powered video processing skill that automatically adds syntax highlighting to code screen recordings for professional-grade tutorials.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install syntax-highlight-editor
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 syntax-highlight-editor 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 Syntax Highlight Editor?
The Syntax Highlight Editor is a specialized tool designed to streamline the production of technical video content. By leveraging a cloud-based rendering pipeline, it allows developers to transform standard screen recordings into polished, 1080p MP4 videos with vibrant syntax highlighting. This Openclaw Skills integration eliminates the need for complex video editing software or manual timeline dragging, enabling creators to generate high-quality social content and educational tutorials in just a few minutes.
Built for the modern developer, the skill handles the heavy lifting of video composition on cloud GPU nodes. It processes raw screen captures, applies platform-specific compression, and returns professional-grade results. Whether you are building a coding course or sharing a snippet on social media, this skill ensures your code is readable and visually engaging without the overhead of traditional post-production.
Syntax Highlight Editor Use Cases
- Enhancing code screen recordings for technical tutorials or online courses.
- Generating high-contrast, syntax-highlighted clips for social media platforms.
- Automating the post-production of coding sessions into 1080p professional videos.
- Batch processing multiple code clips with specific visual instructions in a single session.
How Syntax Highlight Editor Works
- Establish a secure session using a NEMO_TOKEN or an anonymous starter token provided by the API.
- Upload the raw code screen recording to the cloud rendering pipeline via a multipart form or direct URL.
- Submit natural language commands to describe the desired syntax highlighting and visual improvements.
- Monitor the Server-Sent Events (SSE) stream as the cloud GPU composites layers and applies syntax detection.
- Poll the export endpoint to retrieve the final 1080p MP4 download URL once the render job is completed.
Syntax Highlight Editor Setup
To integrate this functionality into your environment, ensure your API credentials are set up correctly. Follow these steps to prepare the Openclaw Skills environment:
# Set your environment variable for the backend API
export NEMO_TOKEN="your_api_token_here"
# If you don't have a token, generate an anonymous starter token
curl -X POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token \
-H "X-Client-Id: <your-unique-uuid>"
The skill requires specific attribution headers (X-Skill-Source and X-Skill-Version) which are typically extracted from the skill's metadata at runtime to ensure successful cloud exports.
Syntax Highlight Editor Data Schema & Taxonomy
The skill manages data through a session-based state, tracking video tracks, audio segments, and metadata tags to keep your project organized.
| Component | Description |
|---|---|
| draft | The core JSON object containing the timeline and track configuration |
| video_infos | Metadata regarding uploaded assets such as resolution and duration |
| generated_media | A list of processed media files available for download |
| tracks (t) | Organizational layers categorized by type (0=video, 1=audio, 7=text) |
| segments (sg) | Individual clips or overlays placed within the timeline |
| session_id | The unique identifier linking your uploads to the rendering pipeline |
Syntax Highlight Editor Advanced Features
- Multi-track timeline management allowing for simultaneous video, background music, and text overlays.
- Real-time status monitoring via Server-Sent Events (SSE) with automated heartbeat handling.
- Intelligent syntax detection optimized for high-contrast coding environments.
- Iterative project refinement that preserves timeline state across multiple user prompts within the Openclaw Skills framework.
- Automated skill attribution and platform detection for seamless export workflows.
SKILL.md
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