An AI-powered video processing tool that generates synced text overlays and on-screen editing instructions from simple text descriptions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install editing-text-generator
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 editing-text-generator 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 Editing Text Generator?
Editing Text Generator is a sophisticated technical tool designed to streamline the video post-production workflow by automating the creation of synced text elements. By leveraging a cloud-based GPU rendering pipeline, this skill allows users of Openclaw Skills to transform raw video clips into finished products with professional titling and editing cues in as little as 30 to 60 seconds. It eliminates the need for manual keyframing and complex editing software by translating natural language descriptions into precise timeline edits.
The skill handles high-resolution video files up to 500MB and supports a wide variety of formats including MP4, MOV, and AVI. It is particularly effective for content creators and developers who need to produce instructional content or social media videos where text clarity and timing are critical. As part of the Openclaw Skills ecosystem, it provides a seamless API-driven approach to video manipulation.
Editing Text Generator Use Cases
- Automatically generate on-screen editing instructions as text overlays synced to the video for tutorials.
- Rapidly add dynamic titles and captions to social media clips without manual timeline editing.
- Batch process multiple video files with consistent text styles within a single project session.
- Iteratively refine video drafts by sending natural language commands to update text track segments.
How Editing Text Generator Works
- Authentication: The skill checks for a NEMO_TOKEN or generates an anonymous token to establish a secure connection with the cloud backend.
- Session Creation: A unique session ID is initialized to track the project state, including video tracks and metadata.
- Media Upload: Users upload video files which are stored in the cloud processing pipeline for immediate access.
- AI Generation: Commands sent via SSE (Server-Sent Events) trigger the AI to analyze the video and generate synced text tracks based on user intent.
- Rendering: The cloud GPU node composites the video, audio, and text layers into a final 1080p H.264 MP4 file.
- Export: The skill polls the rendering status and provides a direct download URL once the processing is complete.
Editing Text Generator Setup
To get started with this skill in your environment, ensure you have your API credentials configured. The skill can automatically provision anonymous access for Openclaw Skills users if a primary token is not detected.
# Set your environment variable
export NEMO_TOKEN="your_nemo_token_here"
# The skill will automatically initialize the session
# and verify your credit balance upon the first upload command.
Editing Text Generator Data Schema & Taxonomy
The skill organizes video projects using a specific draft mapping schema to manage the timeline effectively:
| Key | Mapping | Description |
|---|---|---|
t |
Tracks | Contains the array of all media tracks in the project. |
tt |
Track Type | Identifies the media type (0: Video, 1: Audio, 7: Text). |
sg |
Segments | Defines the start and end points of specific clips or overlays. |
d |
Duration | The length of the segment measured in milliseconds. |
m |
Metadata | Technical specifications of the uploaded media assets. |
Editing Text Generator Advanced Features
- Real-time SSE stream processing for high-speed communication between the AI agent and the rendering engine.
- Support for complex multi-track timelines including background music (BGM) and multiple text layers.
- Automated credit management and session persistence, allowing for iterative edits across different sessions.
- Platform-specific attribution and header tracking to ensure optimal render priority within the Openclaw Skills framework.
SKILL.md
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