Claude-skill-registry 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.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/ai-artist-congdon1207-agents-md" ~/.claude/skills/majiayu000-claude-skill-registry-ai-artist && rm -rf "$T"

manifest: skills/data/ai-artist-congdon1207-agents-md/SKILL.md

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