A powerful AI skill that automates Hindi video editing, captions, and subtitle generation through simple natural language instructions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install editor-in-hindi
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 editor-in-hindi 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 Editor in Hindi?
This Openclaw Skills extension empowers creators to turn raw vlog footage into professional, Hindi-captioned content without touching a traditional video timeline. By leveraging high-performance cloud GPUs, it handles everything from layer composition to platform-specific H.264 compression, delivering 1080p results in as little as 90 seconds. Whether you are adding background music or generating precise Hindi subtitles, the skill bridges the gap between raw media and platform-ready social content using natural language prompts.
The system is designed for speed and simplicity, focusing on a prompt-to-video workflow. By integrating with the Nemo Video backend, it provides a seamless bridge between local files and cloud-based rendering nodes, ensuring that resource-intensive editing tasks do not drain local hardware performance.
Editor in Hindi Use Cases
- Rapidly generate Hindi subtitles and captions for social media vlogs and short-form content.
- Transform raw smartphone footage into professional 1080p MP4 videos ready for distribution.
- Batch process multiple video clips within a single session to maintain consistent Hindi styling.
- Iterate on video drafts using text-based commands like "edit this video and add Hindi" instead of manual dragging.
How Editor in Hindi Works
- Establish a secure connection to the backend API using a NEMO_TOKEN or an automated anonymous starter token.
- Create a project session to track edits, metadata, and timeline states across the editing lifecycle.
- Upload raw video files (up to 500MB) directly to the cloud rendering pipeline via multipart or URL ingestion.
- Send text-based editing instructions via a Server-Sent Events (SSE) stream to trigger intent classification and action routing.
- Monitor the cloud GPU render job until the 1080p MP4 file is generated and the download URL is provided.
Editor in Hindi Setup
To use this skill within Openclaw Skills, ensure your environment is configured with the necessary API credentials.
# Set your environment variable
export NEMO_TOKEN="your_nemo_api_token"
# The skill looks for configuration in:
# ~/.config/nemovideo/
If no token is provided, the skill will automatically attempt to acquire a starter token with 100 free credits to get you started immediately.
Editor in Hindi Data Schema & Taxonomy
The skill manages video data through a structured session state, mapping complex timeline configurations into a manageable schema for the AI agent.
| Field | Mapping | Description |
|---|---|---|
t |
Tracks | An array of all video, audio, and text layers |
tt |
Track Type | Identifies content (0=Video, 1=Audio, 7=Text) |
sg |
Segments | The individual clips or blocks within a track |
d |
Duration | The length of the segment in milliseconds |
m |
Metadata | Technical attributes and processing instructions |
Editor in Hindi Advanced Features
- Real-time session state polling to verify complex edits when the SSE stream returns non-textual results.
- Automatic translation of GUI-oriented backend commands (like "click button") into actionable API calls.
- Support for a wide range of output formats including MP4, MOV, AVI, WebM, and MKV.
- Intelligent intent routing that distinguishes between export requests, credit checks, and creative editing prompts.
- Persistent session memory allowing for iterative refining of video drafts without re-uploading assets.
SKILL.md
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