A cloud-based AI skill that automatically generates and hardcodes high-quality subtitles and captions for video creators.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install easy-auto-caption
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 easy-auto-caption 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 Easy Auto Caption?
Easy Auto Caption is a specialized tool designed for YouTubers and social media creators who need to add subtitles to videos automatically without the burden of local processing. By leveraging cloud GPU nodes, this skill handles the heavy lifting of video composition and subtitle synchronization, delivering professional 1080p MP4 outputs in as little as 30 to 60 seconds.
As part of the Openclaw Skills ecosystem, it provides a seamless interface for editing video tracks, managing aspect ratios, and applying text overlays. It supports a wide variety of formats including MP4, MOV, AVI, and WebM, allowing creators to move from raw footage to accessible, captioned content using simple natural language commands.
Easy Auto Caption Use Cases
- Creating multi-language tutorials by adding captions in English and Spanish simultaneously.
- Rapidly subtitling short-form social media clips for TikTok, Reels, or YouTube Shorts.
- Automated transcription and hardcoding of subtitles for long-form tutorial recordings.
- Batch processing multiple video files within a single session to maintain consistent styling.
How Easy Auto Caption Works
- The user uploads a video file (up to 500MB) or provides a URL to the skill.
- The skill authenticates via a NEMO_TOKEN and establishes a cloud-based project session.
- User instructions are processed through a Server-Sent Events (SSE) stream to the cloud render pipeline.
- Cloud GPU nodes composite the video layers, generate text tracks, and apply H.264 compression.
- The skill monitors the render status and provides a high-quality MP4 download URL once completion is detected.
Easy Auto Caption Setup
To get started with this skill, ensure your environment is configured correctly. The skill can automatically generate an anonymous token if NEMO_TOKEN is not present.
# Example: Setting your environment variable manually
export NEMO_TOKEN="your_token_here"
# The skill handles session creation automatically via:
POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent
Easy Auto Caption Data Schema & Taxonomy
The skill organizes video data using a structured timeline draft system. Below is the metadata taxonomy used for session management:
| Key | Description | Details |
|---|---|---|
t |
Tracks | Array of all media layers in the project |
tt |
Track Type | 0: Video, 1: Audio, 7: Text/Subtitles |
sg |
Segments | Specific clips or blocks within a track |
d |
Duration | Length of segments measured in milliseconds (ms) |
m |
Metadata | Technical specs like resolution and bitrates |
Easy Auto Caption Advanced Features
- Multi-agent support for complex editing workflows within Openclaw Skills.
- Real-time session state polling to track timeline changes even when streams close.
- Automatic platform detection for optimized export settings (Clawhub vs. Cursor).
- Support for iterative editing, allowing users to refine captions and overlays without re-uploading original assets.
SKILL.md
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