---
name: ai-artist-e87c7cfa838a
description: Write and optimize prompts for AI-generated outcomes across text and image models. Use when crafting prompts for LLMs (Codex, 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 (Codex/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


---
Source attribution: CongDon1207
Original project: https://github.com/CongDon1207/AGENTS.md/blob/9f1aa55395ca949e4484040899fe3333dd10fa6b/.claude/skills/ai-artist/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: CongDon1207
Original project: https://github.com/CongDon1207/AGENTS.md/blob/9f1aa55395ca949e4484040899fe3333dd10fa6b/.claude/skills/ai-artist/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing, Content & Media, Design
Roles: Content Marketer, Influencer Marketer, Marketing Analyst, Copywriter, UX Writer
Specialties: Frontend, Remotion, Word Documents, Testing
Tools: Midjourney, DALL-E, Stable Diffusion, Google Docs, Google Sheets, OpenAI API, Google Gemini
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: 89f88ed8c4c4de207c91a1fbca45d46439d1a162a27ea6e24167700e387d6d36
