mikeparcewski/create

Image Creation

AI-powered image generation from text prompts. Supports multiple providers through a unified abstraction layer.

When To Use This Skill

• Generating new images from text descriptions
• Creating visual assets for marketing, UI, presentations
• Producing multiple variations of a concept
• Building visual prototypes from written specifications

Supported Providers

| Provider | Interface | Auth | Best For | |----------|-----------|------|----------| | cstudio | CLI binary | GOOGLE_CLOUD_PROJECT | Interactive use, rapid iteration | | vertex-curl | gcloud + curl | gcloud auth | CI/CD, scripted pipelines | | openai | REST API | OPENAI_API_KEY | Existing OpenAI subscription | | stability | REST API | STABILITY_API_KEY | Stable Diffusion 3.5 | | replicate | REST API | REPLICATE_API_TOKEN | Flux models, pay-per-use |

Provider Detection

# Check which providers are available
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/skills/imagery/scripts/provider.py" detect

The provider abstraction selects the best available provider automatically. A specific provider can be forced when needed.

Generation Workflow

1. UNDERSTAND — Clarify the visual intent and requirements
2. CRAFT     — Build a high-quality prompt with style and constraints
3. GENERATE  — Execute via the provider abstraction
4. REVIEW    — Use the review sub-skill to validate output
5. REFINE    — Iterate on prompt, parameters, or provider settings

Step 1: Understand Requirements

Before generating, gather:

• Subject: What is the image of?
• Style: Photorealistic, illustration, abstract, etc.
• Dimensions: Aspect ratio (16:9, 1:1, 9:16, etc.)
• Context: Where will this image be used?
• Constraints: Brand colors, no text, specific mood

Step 2: Craft the Prompt

Effective prompts follow this structure:

[Subject] + [Style/Medium] + [Lighting/Mood] + [Composition] + [Details]

Example: "A minimalist office workspace with a single monitor, soft natural side lighting, centered composition, matte finish, neutral color palette"

For detailed prompt engineering techniques, see refs/prompt-engineering.md.

Step 3: Generate

# Basic generation (auto-detects best available provider)
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/skills/imagery/scripts/provider.py" generate \
  --prompt "Your crafted prompt" \
  --output ./output/v1.png

# Use a specific provider
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" "${CLAUDE_PLUGIN_ROOT}/skills/imagery/scripts/provider.py" generate \
  --prompt "Your crafted prompt" \
  --provider openai \
  --output ./output/v1.png

Key Parameters

| Parameter | Purpose | Example | |-----------|---------|---------| | --prompt | Text description | "A gothic garden at dusk" | | --aspect-ratio | Output dimensions | "16:9", "1:1", "9:16" | | --negative-prompt | Elements to exclude | "text, watermarks, blur" | | --sample-count | Number of variations | 1-4 | | --seed | Reproducible results | Any integer | | --guidance-scale | Prompt adherence | Higher = more literal | | --model | Model selection | "imagen-3.0-generate-001" |

Detailed References

• Provider APIs and configuration: refs/provider-reference.md
• Prompt engineering techniques: refs/prompt-engineering.md

Integration With Other Sub-Skills

• Use review after generation to validate quality and run gates
• If modifications are needed, hand off to alter for targeted edits
• Generation output feeds into the Analyze-Execute-Review-Refine loop