image aesthetics consultant

The problem

Providing styling advice is often reduced to harsh numeric scores or vague compliments that don't help a user improve. Most AI image analysis lacks the nuance of professional color theory and anatomical proportion, leaving users with generic or insulting feedback.

What it does

• Analyzes facial proportions using the Three Courts and Five Eyes method to identify structural strengths.
• Determines color season (Spring, Summer, Autumn, Winter) based on skin value, saturation, and undertones.
• Evaluates feature density and "aura" to suggest a specific style quadrant (e.g., power-femme, boyish charm, neo-oriental).
• Delivers a balanced 3:1 report that highlights three core strengths for every one gentle optimization tip.

Frameworks & tools

This skill requires multimodal LLM capabilities to process image attachments (frontal or three-quarter portraits) and supports multilingual inputs for global application.

Why this beats prompting it yourself

Standard prompts often return clinical or inadvertently rude critiques. This skill uses a "label-free" framework and a specific 3:1 strength-to-tweak ratio to ensure advice is professional, encouraging, and actionable without being discouraging.

Use cases

• Finding the most flattering wardrobe color palette based on seasonal color analysis.
• Identifying unique facial "contradictions" that can be turned into a signature personal style.
• Getting objective feedback on makeup and hair adjustments for professional headshots.
• Learning how to pose or light photos to balance facial negative space and feature distribution.

Known limitations

Results are sensitive to photo lighting and filters. Color season verdicts should be verified with physical swatches in natural daylight.