---
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