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ai-artist

@khoi1009/Vibecode-with-Multi-Agent-LongCoT
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Write and optimize prompts for AI-generated outcomes across text and image models. Use when crafting prompts for LLMs (Claude, GPT, Gemini), image generators (Midjourney, DALL-E, Stable Diffusion, Imagen, Flux), or video generators (Veo, Runway). Covers prompt structure, style keywords, negative prompts, chain-of-thought, few-shot examples, iterative refinement, and domain-specific patterns for marketing, code, and creative writing.

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SKILL.md

name ai-artist
description Write and optimize prompts for AI-generated outcomes across text and image models. Use when crafting prompts for LLMs (Claude, GPT, Gemini), image generators (Midjourney, DALL-E, Stable Diffusion, Imagen, Flux), or video generators (Veo, Runway). Covers prompt structure, style keywords, negative prompts, chain-of-thought, few-shot examples, iterative refinement, and domain-specific patterns for marketing, code, and creative writing.
version 1.0.0
license MIT

AI Artist - Prompt Engineering

Craft effective prompts for AI text and image generation models.

Core Principles

  1. Clarity - Be specific, avoid ambiguity
  2. Context - Set scene, role, constraints upfront
  3. Structure - Use consistent formatting (markdown, XML tags, delimiters)
  4. Iteration - Refine based on outputs, A/B test variations

Quick Patterns

LLM Prompts (Claude/GPT/Gemini)

[Role] You are a {expert type} specializing in {domain}.
[Context] {Background information and constraints}
[Task] {Specific action to perform}
[Format] {Output structure - JSON, markdown, list, etc.}
[Examples] {1-3 few-shot examples if needed}

Image Generation (Midjourney/DALL-E/Stable Diffusion)

[Subject] {main subject with details}
[Style] {artistic style, medium, artist reference}
[Composition] {framing, angle, lighting}
[Quality] {resolution modifiers, rendering quality}
[Negative] {what to avoid - only if supported}

Example: Portrait of a cyberpunk hacker, neon lighting, cinematic composition, detailed face, 8k, artstation quality --ar 16:9 --style raw

References

Load for detailed guidance:

Topic File Description
LLM references/llm-prompting.md System prompts, few-shot, CoT, output formatting
Image references/image-prompting.md Style keywords, model syntax, negative prompts
Nano Banana references/nano-banana.md Gemini image prompting, narrative style, multi-image input
Advanced references/advanced-techniques.md Meta-prompting, chaining, A/B testing
Domain Index references/domain-patterns.md Universal pattern, links to domain files
Marketing references/domain-marketing.md Headlines, product copy, emails, ads
Code references/domain-code.md Functions, review, refactoring, debugging
Writing references/domain-writing.md Stories, characters, dialogue, editing
Data references/domain-data.md Extraction, analysis, comparison

Model-Specific Tips

Model Key Syntax
Midjourney --ar, --style, --chaos, --weird, --v 6.1
DALL-E 3 Natural language, no parameters, HD quality option
Stable Diffusion Weighted tokens (word:1.2), LoRA, negative prompt
Flux Natural prompts, style mixing, --guidance
Imagen/Veo Descriptive text, aspect ratio, style references

Anti-Patterns

  • Vague instructions ("make it better")
  • Conflicting constraints
  • Missing context for domain tasks
  • Over-prompting with redundant details
  • Ignoring model-specific strengths/limits