Match a Client's Existing Photography Style
Analyze a client's existing photography and extract the style prompt needed to generate new images that match their established visual identity.
Extract Style from Inspiration Images
Analyze a reference image and extract its visual style as a reusable prompt you can apply to generate new images in the same aesthetic.
Tool
You find the perfect reference image — the exact mood, lighting, color grading, and composition you want — but when you try to describe it in a prompt you get something that is adjacent but never quite there. The gap between seeing a style and being able to articulate it generatively is where most image generation workflows stall.
Image Style Extractor's extract_style skill reads a reference image and translates its visual characteristics into the specific generative vocabulary that would recreate them — not a description of what is in the image, but the prompt elements that produced its aesthetic: the lighting setup, the color grading approach, the compositional conventions, and the texture and mood language.
Creators building consistent visual identities, designers trying to match a client's brand photography style, and teams maintaining image consistency across a content library use this to turn any reference image into a reusable style template.
Agent Guides
Claude
- Connect ToolRouter in Claude: claude mcp add toolrouter -- npx -y toolrouter-mcp
- Share the reference image and describe what aspect of it you most want to capture — lighting, color palette, mood, compositional approach, or overall aesthetic.
- Run image-style-extractor with extract_style to get the style prompt.
ChatGPT
- Connect ToolRouter in ChatGPT: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
- Provide the full set of reference images from your mood board or inspiration collection.
- Run extract_style for each image to get individual style prompts.
Copilot
- Connect ToolRouter in Copilot: {"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}
- Provide the reference image and describe where the extracted style will be documented.
- Run extract_style to get the style prompt.
OpenClaw
- Connect ToolRouter in OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
- Define the full image set and the output format — individual style prompts, grouped by visual category, or synthesized into style families.
- Run extract_style across the full image collection.
Related Use Cases
Build a Consistent Social Media Aesthetic
Extract the visual style from your best-performing social posts and turn it into a reusable style prompt for consistent content creation.