A cloud-powered AI tool that automates adding professional text overlays and captions to video clips without manual editing software.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-editor-text
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 free-editor-text 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 Free Editor Text?
Free Editor Text is a sophisticated AI-driven editing tool designed for developers and creators who need to scale video production. By leveraging cloud GPU nodes, this skill allows users to transform raw footage into polished content by simply describing the desired text overlays and captions. As a prominent part of the Openclaw Skills ecosystem, it eliminates the need for local processing power and expensive software suites.
The skill operates via a session-based architecture, maintaining a timeline state that supports iterative editing. Whether you are generating 1080p MP4 exports for social media or managing complex multi-track overlays, Free Editor Text provides a seamless, developer-friendly interface to handle video compositing and platform-specific compression at scale through the Openclaw Skills framework.
Free Editor Text Use Cases
- Adding professional captions to talking-head videos for better social media engagement
- Batch processing multiple video clips with consistent text styling for brand identity
- Generating high-resolution 1080p MP4 files with dynamic on-screen text overlays for marketing
- Rapidly prototyping video content without opening a traditional GUI video editor
How Free Editor Text Works
- Establish a connection to the backend API using the Openclaw Skills framework and a valid NEMO_TOKEN.
- Initialize a session to track your project's timeline state and generated media assets.
- Upload video files (up to 500MB) directly through the agent interface to secure cloud storage.
- Issue natural language commands to add text overlays, captions, or background music tracks.
- Monitor the progress via an SSE stream that provides real-time updates from the cloud GPU node.
- Request an export to render the final 1080p MP4 file and receive a secure download link.
Free Editor Text Setup
To begin using this skill with Openclaw Skills, configure your environment with the necessary credentials and directory structures:
# Set your API token as an environment variable
export NEMO_TOKEN="your_nemo_api_token_here"
# Ensure the configuration directory exists for metadata
mkdir -p ~/.config/nemovideo/
If you do not have a token, the skill will automatically attempt to acquire a free starter token with 100 credits for initial testing upon the first request.
Free Editor Text Data Schema & Taxonomy
The skill manages video data through a structured session state and a optimized draft JSON format for cloud processing:
| Attribute | Description |
|---|---|
| session_id | Unique identifier for the current editing project session |
| tracks | Organized layers: 0 (Video), 1 (Audio), 7 (Text Overlays) |
| draft | JSON object representing the timeline with keys like 't' (tracks) and 'd' (duration) |
| output | Configuration for render quality (high) and format (mp4) |
Accepted file types for Openclaw Skills video processing include mp4, mov, avi, webm, mkv, jpg, png, gif, mp3, and wav.
Free Editor Text Advanced Features
- Real-time SSE (Server-Sent Events) stream for tracking long-running cloud render jobs asynchronously
- Multi-track timeline management allowing for simultaneous text, audio, and video layer compositions
- Automated credit balance monitoring and anonymous token generation for a frictionless user experience
- Intelligent intent classification that maps conversational instructions to programmatic API calls
- Platform-specific attribution headers ensuring high-priority rendering within the Openclaw Skills environment
SKILL.md
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