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ai-artist

Generate and optimize prompts for text and image AI models.

Updated Jan 31, 2026
Search Tags:#llm#image-generation#prompt-engineering#prompt#ai-art#negative-prompts#style-keywords
One-click install
npx skills add https://github.com/luan-thnh/hrm-auto-extension --skill ai-artist-luan-thnh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-artist
Source: https://github.com/luan-thnh/hrm-auto-extension/tree/main/.opencode/skills/ai-artist
Command: npx skills add https://github.com/luan-thnh/hrm-auto-extension --skill ai-artist-luan-thnh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Crafting effective prompts for AI-generated outputs across text and image models is often time-consuming and trial-and-error prone. This Skill standardizes prompts to improve clarity, consistency, and quality, reducing iteration cycles.

Core Features & Use Cases

  • Structured prompting patterns for LLMs (Claude, GPT, Gemini) and image/video generators (Midjourney, DALL·E, Stable Diffusion, Imagen, Flux, Veo, Runway).
  • Guidance on style keywords, negative prompts, chain-of-thought, few-shot examples, and iterative refinement to boost results.
  • Domain-pattern resources (Marketing, Code, Writing, Data) to accelerate cross-domain prompt design and reuse.

Quick Start

Provide a ready-to-use AI prompt based on a user description, including subject, style, and constraints.

Frequently Asked Questions about ai-artist

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

FAQPage Schema
How do I write effective prompts for AI image generation models like Midjourney and Stable Diffusion?▼

Effective AI image generation prompts require structured patterns combining subject descriptions, style keywords, and negative prompts to reduce trial-and-error iteration cycles across generators like Midjourney, DALL·E, and Stable Diffusion.

What are negative prompts and how do they improve AI art outputs?▼

Negative prompts specify unwanted elements to exclude from AI-generated outputs. They improve image quality by actively constraining the model to prevent artifacts and undesired styles during the generation process.

Can I use the same prompt engineering techniques for both LLMs and image generators?▼

Prompt engineering techniques share structured patterns across domains. You apply chain-of-thought and few-shot examples for LLMs like Claude and GPT, while using style keywords and negative prompts for image models like Flux and Veo.

How do I structure prompts for specific domains like Marketing or Code generation?▼

Domain-pattern resources accelerate cross-domain prompt design by providing tailored structural templates and few-shot examples for Marketing, Code, Writing, and Data, ensuring clarity and consistency for specialized AI outputs.

What is the best way to iteratively refine AI prompts to get better results?▼

Iterative refinement of AI prompts involves systematically adjusting style keywords, constraints, and negative prompts based on previous outputs. This standardized approach reduces iteration cycles and improves overall generation quality.

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