kling3-style

Reference 12 style presets, 7 color moods, and 8 lighting types for AI image prompts.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Soochol/affim-ai --skill kling3-style
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kling3-style
Source: https://github.com/Soochol/affim-ai/tree/main/skills/kling3-style
Command: npx skills add https://github.com/Soochol/affim-ai --skill kling3-style

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive reference for defining specific visual styles, color palettes, and lighting conditions for AI-generated content, ensuring consistency and achieving desired aesthetic outcomes.

Core Features & Use Cases

  • Style Presets: Offers 12 distinct style presets (e.g., Cinematic Realism, Film Noir, Cyberpunk) with English keywords, characteristics, and recommended genres.
  • Color & Mood Language: Provides 7 color grading options (e.g., Warm, Cool, Neon) with corresponding English expressions and usage scenarios.
  • Lighting Options: Details 8 lighting types (e.g., Golden Hour, Studio, Volumetric) with English terms, effects, and scene recommendations, including combination tips.
  • Weak vs. Strong Prompts: Illustrates how to transform vague style requests into specific, effective prompts.
  • Checklists: Includes pre- and post-generation checklists to ensure style consistency and prompt quality.
  • Use Case: A user wants to generate an image of a futuristic city at night. They can use this Skill to select a "Blade Runner" style preset, a "Neon" color grade, and "Neon signs casting colored light" for lighting, combining them into a precise prompt.

Quick Start

Use the kling3-style skill to find English keywords for a 'cinematic realism' style preset.

Frequently Asked Questions about kling3-style

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

FAQPage Schema
How do I define specific visual styles and lighting for AI image generation?

To define visual styles for AI image generation, reference structured presets combining 12 style options, 7 color moods, and 8 lighting types. This ensures aesthetic consistency by providing exact English keywords and scene recommendations for your prompts.

What are the best English keywords to use for cinematic realism and film noir styles?

The best English keywords for cinematic realism and film noir styles include specific aesthetic terms, lighting effects, and mood descriptions provided by the preset library. These keywords translate vague stylistic requests into specific, effective prompts for AI generation.

How do I write strong prompts instead of weak vague style requests for AI visuals?

To write strong prompts, transform weak style requests by combining specific style presets, color grading language, and lighting types. Use the provided weak versus strong phrasing examples and pre-generation checklists to ensure prompt quality and consistency.

Can I combine different lighting types and color grades in a single AI generation prompt?

Yes, you can combine different lighting types and color grades in a single AI generation prompt. The reference includes combination tips for 8 lighting types and 7 color options, allowing you to mix elements like neon colors and volumetric lighting for specific scenes.

What visual style elements should I check after generating an AI image?

After generating an AI image, use a post-generation checklist to verify visual style consistency, color grading accuracy, and lighting effects. This ensures the final output matches the predefined aesthetic keywords and scene recommendations from your prompt.

When do I need specific color grading and lighting references for AI-generated content?

You need specific color grading and lighting references when aiming for precise aesthetic outcomes like cyberpunk or warm moods. Using predefined English expressions for colors and lighting ensures your AI-generated content achieves the desired visual consistency.