Analyze portrait photos to recommend the most flattering hairstyle based on face shape, facial features, hair texture, and personal style. Use when the user uploads a portrait/headshot photo and asks for hairstyle recommendations, haircut advice, or wants to see how they would look with a suggested
设计与多媒体
photo-analyzer
试用Analyzes an uploaded photograph, provides detailed feedback on exposure, focus, composition, lighting, and suggests concrete camera settings and shooting technique. Generates a simulated improved image based on the recommendations.
它能做什么
Analyzes an uploaded photograph, provides detailed feedback on exposure, focus, composition, lighting, and suggests concrete camera settings and shooting technique. Generates a simulated improved image based on the recommendations.
技能文档
Photo Analyzer
Overview
This skill processes a user‑provided image, extracts visual characteristics (exposure, focus, color balance, composition), returns text suggestions for camera parameters and shooting technique, and optionally produces a simulated version of the corrected photo.
Task‑Based Structure
1. Analyze Photo
- Detect key attributes: exposure level, focal point, rule‑of‑thirds compliance, dynamic range, noise.
- Identify common issues: over‑/under‑exposure, blur, poor lighting, distracting background.
2. Suggest Adjustments
- Recommend ISO, shutter speed, aperture, white‑balance, and lighting improvements.
- Offer composition advice (framing, angle, foreground/background, leading lines).
- Provide actionable tips for post‑processing.
3. Simulate Improved Photo (optional)
- Use a generative image model to apply suggested adjustments and render a preview.
- Return the simulated image alongside the textual advice.
Resources
scripts/
analyze_image.py– placeholder script using OpenCV/ML to extract attributes.suggest_adjustments.py– logic to map analysis results to camera settings and composition tips.simulate_image.py– stub for invoking an image‑to‑image model (e.g., stable diffusion).
references/
photography_guidelines.md– curated best‑practice notes on exposure, composition, and lighting.model_usage.md– instructions for calling the image generation model.
assets/
- Example asset files (e.g., sample before/after images) can be placed here.
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