kling-video-generator

Generates customized videos from prompts and media using the Kling 3.0 Omni API.

3|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/wells1137/kling-video-generator --skill kling-video-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kling-video-generator
Source: https://github.com/wells1137/kling-video-generator/tree/main
Command: npx skills add https://github.com/wells1137/kling-video-generator --skill kling-video-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyJWT, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Generate high-quality, controllable videos from text prompts or media inputs with Kling 3.0 Omni, automating complex video creation workflows that previously required manual toolchains.

Core Features & Use Cases

  • Text-to-Video: create a video from a natural language prompt.
  • Image-to-Video: animate a still image or style references to a moving sequence.
  • Video Editing: modify an existing video by changing subjects or scenes (base mode).
  • Video Reference: use an input video as a motion/style reference (feature mode).
  • Multi-shot Generation: compose a video from multiple shots with explicit prompts and durations.
  • Audio Generation: synchronize speech and sound effects with video content.
  • Reference prompts: utilize Kling 3.0 Omni template syntax to bind media to roles.

Quick Start

Set KLING_ACCESS_KEY and KLING_SECRET_KEY, then run the included Python script to generate your first Kling Omni video.

Frequently Asked Questions about kling-video-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a video from a text prompt using Kling 3.0?

You can generate text-to-video content by running the included Python script after setting your KLING_ACCESS_KEY and KLING_SECRET_KEY environment variables. The workflow uses Kling 3.0 Omni to turn natural language prompts into rich videos.

Can I animate a still image or use a video as a style reference?

Yes, image-to-video generation animates still images, while video reference mode uses an input video as a motion or style reference. Feature mode requires specific aspect_ratio requirements to process these inputs correctly.

How do I set up API keys to use the Kling video generation workflow?

You must set the KLING_ACCESS_KEY and KLING_SECRET_KEY environment variables to authenticate requests. The workflow enforces safe handling of these API keys to securely run the included Python script for video generation.

Does the workflow support multi-shot sequences and audio-synced output?

Yes, multi-shot generation composes videos from multiple shots with explicit prompts and durations. Audio generation synchronizes speech and sound effects directly with the video content across text, image, and video inputs.

What are the limitations when editing existing videos or using reference prompts?

Video editing to modify subjects or scenes operates in base mode, while video reference requires feature mode. The workflow enforces explicit refer_type and multi-shot constraints, meaning improperly bound media or missing aspect ratios will halt generation.