photo-analyzer

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.

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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