ai-artist
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.
When & Why to Use This Skill
The AI Artist skill is a comprehensive prompt engineering toolkit designed to optimize outputs across text, image, and video AI models. It provides structured frameworks for LLMs like Claude and GPT, as well as specialized syntax for image generators such as Midjourney, DALL-E 3, and Stable Diffusion. By leveraging core principles like clarity, context, and iterative refinement, this skill helps users master complex techniques including chain-of-thought prompting, few-shot examples, and negative prompting to achieve professional-grade AI-generated results.
Use Cases
- Crafting high-fidelity AI art prompts for Midjourney and Flux using specific style keywords, lighting parameters, and aspect ratio controls.
- Optimizing LLM performance for technical tasks like code generation or data analysis through structured XML tags and role-based prompting.
- Developing consistent brand messaging and marketing copy by applying domain-specific patterns and iterative refinement strategies.
- Creating cinematic video sequences with tools like Runway and Veo by defining precise camera movements and visual composition in prompts.
- Troubleshooting poor AI outputs by identifying and correcting common anti-patterns such as vague instructions or conflicting constraints.
| 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
- Clarity - Be specific, avoid ambiguity
- Context - Set scene, role, constraints upfront
- Structure - Use consistent formatting (markdown, XML tags, delimiters)
- 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