ai-artist

name	ai-artist
description	Prompt engineering for AI image generation: Midjourney, DALL-E, Stable Diffusion, Flux. Use when writing image prompts, configuring generation parameters, or optimizing AI art output. NOT for UI design decisions (use design-system) or media file processing (use media-processing).
metadata	{"author":"pikakit","version":"3.9.206","category":"prompt-engineering","triggers":["prompt","AI prompt","image generation","Midjourney","DALL-E","Stable Diffusion","Flux"],"coordinates_with":["studio","media-processing","context-engineering"],"success_metrics":["100% deterministic prompt reproduction"]}

AI Artist — Prompt Engineering

Deterministic prompt construction for LLMs and image generation models. Same inputs = same output.

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Prerequisites

Required: None — AI Artist is a knowledge-based skill with no external dependencies.

Optional:

• Target model API access (Claude, GPT, Gemini, Midjourney, DALL-E, SD, Flux)
• studio skill (for design system prompts)
• media-processing skill (for post-processing generated images)

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When to Use

Situation	Reference
Structuring LLM prompts	This file — LLM Prompt Pattern
Generating image prompts	rules/image-prompts.md
Marketing/copywriting prompts	rules/domain-marketing.md
Code generation prompts	rules/domain-code.md
Model-specific parameters	rules/model-syntax.md
Architecture review, contracts, security	rules/engineering-spec.md

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System Boundaries

Owned by This Skill	NOT Owned
Prompt template construction	API submission to models
Domain-specific prompt patterns	Response quality evaluation
Model parameter syntax	Content safety filtering
Success criteria extraction	Token counting (→ context-engineering)
Prompt versioning structure	Design systems (→ studio)

Pure function: This skill produces text output. Zero network calls, zero file mutations, zero side effects.

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Execution Model — 3-Phase Lifecycle

Phase	Action	Output
Parse	Validate domain, template, parameters	Validated input or error
Compose	Apply template, inject parameters, format for model	Structured prompt string
Emit	Return prompt with metadata and success criteria	Complete output

All phases execute synchronously. No async pipeline, no queue.

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LLM Prompt Pattern

[Role] You are a [expertise] specializing in [domain].
[Context] [Background, constraints, audience]
[Task] [Specific action to perform]
[Format] [Output structure: markdown, JSON, etc.]
[Constraints] [Word limit, tone, technical level]
[Examples]
Good: [Example of desired output]
Bad: [Example to avoid]

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Image Prompt Pattern

[Subject] + [Style] + [Composition] + [Quality] + [Model Parameters]

Parameter ordering is fixed: subject → style → composition → quality → model_params.

Example:

Portrait of cyberpunk hacker, neon purple lighting, cinematic close-up,
volumetric fog, 8k render, artstation quality --ar 16:9 --style raw

Element	Purpose	Example
Subject	What to generate	"portrait of cyberpunk hacker"
Style	Visual aesthetic	"neon lighting, cinematic"
Composition	Framing	"close-up, shallow depth of field"
Quality	Render markers	"8k, artstation quality"
Parameters	Model-specific	--ar 16:9 --style raw

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Supported Models

Model	Domain	Parameter Reference
Claude, GPT, Gemini	Text, Code, Marketing	Core LLM pattern (above)
Midjourney	Image	rules/model-syntax.md — --ar, --style, --chaos
DALL-E	Image	rules/model-syntax.md — size, quality, style
Stable Diffusion	Image	rules/model-syntax.md — steps, cfg, sampler
Flux	Image	rules/model-syntax.md — guidance, steps

Unknown model → generic format (no model-specific parameters injected).

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Error Taxonomy

Code	Recoverable	Trigger
ERR_INVALID_DOMAIN	No	Domain not one of: text, image, code, marketing
ERR_INVALID_TEMPLATE	No	Template not one of: role-task, subject-style, chain-of-thought, few-shot
ERR_MISSING_PARAM	Yes	Required parameter is null or empty
ERR_UNKNOWN_MODEL	Yes	Model not recognized; falls back to generic format
ERR_TEMPLATE_NOT_FOUND	No	Reference file missing from skill directory
ERR_PARAM_CONFLICT	Yes	Contradictory parameters (e.g., format=json + template=subject-style)
ERR_PARAM_TOO_LONG	Yes	Parameter exceeds maximum character limit

Zero internal retries. Deterministic output makes retries meaningless for same input.

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Anti-Patterns

❌ Don't	✅ Do
"Make it better"	"Increase contrast by 20%"
"Professional but casual"	Choose one tone, specify explicitly
Skip context/constraints	Set role, audience, constraints upfront
Over-prompt with 10+ directives	Focus on 3–5 core requirements
Assume model compatibility	Check rules/model-syntax.md for target model

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Troubleshooting

Problem	Cause	Resolution
Vague output	Missing constraints	Add specific criteria: "under 150 words", "technical audience"
Wrong visual style	Style description too generic	Use style references: "in the style of [artist/work]"
Busy image composition	Too many subjects	Reduce to one primary subject, simplify background
Inconsistent results	No seed parameter	Add --seed for Midjourney/SD; not controllable for LLMs
Syntax errors in model params	Wrong model format	Check rules/model-syntax.md for correct syntax
Token limit exceeded	Prompt too long	Estimate: ~4 chars/token for English; trim constraints

📑 Content Map

File	Description	When to Read
image-prompts.md	Image generation techniques, styles, composition	Visual AI prompts
domain-marketing.md	Marketing copy, AIDA/PAS formulas	Copywriting prompts
domain-code.md	Code generation patterns	Programming prompts
model-syntax.md	Model-specific parameters	Midjourney, SD, DALL-E, Flux
engineering-spec.md	Full engineering spec: contracts, security, scalability	Architecture review, integration

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🔗 Related

Item	Type	Purpose
studio	Skill	Design system generation, color palettes
media-processing	Skill	Post-processing generated images
context-engineering	Skill	Token management, context window planning

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⚡ PikaKit v3.9.206