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kling3-examples

Provide over 20 Kling 3.0 prompt examples across 12 categories in English and Korean.

Updated Aug 23, 2026
Search Tags:#prompt engineering#content creation#ai art#kling 3.0#prompt examples#visual generation
One-click install
npx skills add https://github.com/Soochol/affim-ai --skill kling3-examples
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kling3-examples
Source: https://github.com/Soochol/affim-ai/tree/main/skills/kling3-examples
Command: npx skills add https://github.com/Soochol/affim-ai --skill kling3-examples

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive library of practical prompt examples for Kling 3.0, designed to help users create high-quality visual content across various categories.

Core Features & Use Cases

  • Extensive Prompt Library: Offers over 20 examples across 12 distinct categories (e.g., portrait, nature, urban, action, fantasy).
  • Bilingual Examples: Provides prompts in both English (EN) and Korean (KO) for broader accessibility.
  • Detailed Guidance: Includes negative prompts and settings suggestions to refine output quality.
  • Use Case: A graphic designer needs to generate a specific visual style for a client. They can browse the 'urban' category for neon-lit cityscapes or the 'product' category for luxury item advertisements, adapting the provided examples to their unique needs.

Quick Start

Use the kling3-examples skill to find a prompt for generating a portrait of a young woman on a cliff at golden hour.

Frequently Asked Questions about kling3-examples

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

FAQPage Schema
How do I write effective prompts for Kling 3.0 visual generation?▼

Effective Kling 3.0 prompts use structured parameters, specific category descriptors, and negative prompts to refine output. This library provides over 20 bilingual examples across 12 categories to demonstrate successful prompt engineering structures.

What is a negative prompt in AI art generation and when do I need it?▼

A negative prompt in AI art generation specifies elements to exclude from visual output, refining quality and focus. You need it when generated images contain unwanted artifacts or stylistic elements, and this library provides detailed negative prompt guidance.

Can I find Kling 3.0 prompt examples for specific scenarios like portraits and product shots?▼

Yes, you can find Kling 3.0 prompt examples for specific scenarios like portraits, landscapes, action scenes, and product shots. The library categorizes over 20 examples across 12 distinct visual generation categories for easy adaptation.

Are there bilingual AI art prompt examples available for Korean and English users?▼

Yes, bilingual AI art prompt examples are available in both English and Korean. This library offers over 20 Kling 3.0 prompt examples translated for broader accessibility, facilitating prompt engineering across both languages.

What settings should I use for Kling 3.0 prompt engineering?▼

Kling 3.0 prompt engineering settings should include detailed parameter configurations and negative prompts to achieve high-quality visual content. This library offers settings suggestions alongside practical examples to refine output quality for diverse scenarios.

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