Video Editor Kling AI for Openclaw

Effortlessly turn raw clips and images into cinematic 1080p MP4 videos using simple text prompts and Kling AI.

whitejohnk-26
v1.0.0
Apr 13, 2026
0
359
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install video-editor-kling-ai

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install video-editor-kling-ai 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 Video Editor Kling AI?

Video Editor Kling AI is a powerful integration designed for AI coding agents that bridges the gap between raw media assets and polished video content. By leveraging remote GPU nodes, it allows users to perform complex video generation tasks—such as creating cinematic transitions or animating static images—without the need for local processing power or traditional timeline editing software.

As one of the most versatile Openclaw Skills, it handles the heavy lifting of video rendering server-side, returning high-quality 1080p results in as little as 1-3 minutes. Whether you are generating cinematic video clips from images or footage using Kling AI, this tool simplifies the entire production pipeline into a few natural language commands.

Video Editor Kling AI Use Cases

  • Transforming static product photos into 30-second promotional video clips with cinematic motion.
  • Generating professional social media content from short raw footage using natural language instructions.
  • Creating cinematic transitions and smooth motion for video projects using Kling AI models.
  • Automating the video production workflow for marketers and content creators who need rapid 1080p MP4 exports.

How Video Editor Kling AI Works

  1. The skill establishes a secure connection to the backend using a NEMO_TOKEN or an automatically generated anonymous session token.
  2. Users upload media files such as MP4, PNG, or JPG directly to the cloud session storage.
  3. A text prompt is sent via a Server-Sent Events (SSE) stream, instructing the Kling AI model on how to generate or edit the footage.
  4. The cloud GPU pipeline processes the request, compositing layers and applying platform-specific H.264 compression.
  5. The skill monitors the render status and provides a final download URL for the generated 1080p MP4 video once complete.

Video Editor Kling AI Setup

To get started with this skill, ensure your environment is configured correctly. You can provide a custom token or let the skill handle anonymous authentication.

# Set your Nemo Token environment variable for persistent sessions
export NEMO_TOKEN="your_api_token_here"

# The skill also supports configuration via:
# ~/.config/nemovideo/

The skill requires access to the Kling AI backend API to process and render your media files on remote GPU nodes.

Video Editor Kling AI Data Schema & Taxonomy

The skill organizes video projects using a structured session-based draft system. Below is the mapping for the internal data schema used for Openclaw Skills video processing:

Key Definition Description
session_id Session ID Unique identifier for the current editing project.
t Tracks Array of media tracks (Video, Audio, Text).
tt Track Type 0 = Video, 1 = Audio, 7 = Text overlays.
sg Segments Specific time-bound clips within a track.
d Duration The length of the segment in milliseconds.
m Metadata Technical details about resolution, codec, and frame rate.

Video Editor Kling AI Advanced Features

  • Multi-track timeline management for combining video, background music, and text overlays in a single session.
  • Asynchronous cloud rendering on remote GPU nodes for high-speed 1080p exports without local hardware strain.
  • Real-time status tracking via SSE streams with automatic heartbeat monitoring to ensure stable long-running renders.
  • Support for a wide array of input formats including MP4, MOV, WebM, PNG, and JPG.
  • Integrated credit management to track usage and balance across Openclaw Skills video generation tasks.

SKILL.md


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