Photo Color

When to Use

Use this skill when the user asks to:

• Adjust brightness (e.g., "make it brighter", "darken the photo")
• Change contrast (e.g., "increase contrast", "make it more dramatic")
• Modify saturation (e.g., "make colors more vibrant", "desaturate")
• Apply a specific style (e.g., "cinematic look", "natural enhancement")
• Fix photo issues (e.g., "fix washed out colors", "add warmth")

Instructions

This skill uses GPT-5 text API to interpret natural language and calculate color adjustments. Always:

1. Validate input - Ensure photo exists and is JPG/PNG format
2. Analyze photo - Calculate current brightness, contrast, saturation scores
3. Call GPT-5 - Get enhancement suggestions based on user's prompt and photo analysis
4. Select best match - Choose suggestion that best matches prompt keywords (vivid/natural/dramatic)
5. Apply enhancements - Adjust colors and save to new file (never overwrite original)
6. Report results - Show multipliers applied and GPT-5's reasoning

Usage

from photo_color import main

result = main(
    photo_path="photo.jpg",
    prompt="Make the colors more vibrant and warm"
)
# Returns: "photo-enhanced.jpg"

Command Line

python photo_color.py <photo_path> "<prompt>" [output_path]

Examples

Vivid colors:

Make the colors much more vibrant and vivid
Increase saturation by 50%
Make colors pop

Natural enhancement:

Apply a subtle natural enhancement
Keep it looking natural and soft

Cinematic/dramatic:

Create a dramatic cinematic look with high contrast
Make it bold and intense

Fix issues:

Fix the washed out appearance
Increase saturation to make colors more realistic
Add warmth to the photo

Specific adjustments:

Brighten and increase contrast
Make it darker and more moody

Output

• Returns path to enhanced photo
• Never overwrites original
• Format: {original_name}-enhanced.{ext}
• Multipliers in safe range (0.5-2.0)
• Displays style name and GPT-5's reasoning

Enhancement Styles

GPT-5 suggests these style categories:

• Vivid: High saturation (1.3-1.5), increased brightness and contrast
• Natural: Subtle adjustments (1.05-1.2), minimal changes
• Dramatic: High contrast (1.5-1.8), bold adjustments
• Custom: Tailored to specific prompt requirements

Error Handling

• Falls back to safe defaults (×1.2 saturation, ×1.1 brightness, ×1.1 contrast) if GPT-5 unavailable
• Validates multipliers (0.5-2.0 range)
• Clear error messages for missing files or invalid formats

Requirements

• OPENROUTER_API_KEY environment variable must be set
• Photo must be JPG or PNG format
• Photo under 50MB recommended

Technical Implementation

See references/implementation.md for:

• GPT-5 text API integration
• Photo analysis algorithms
• Color enhancement styles
• Prompt matching strategy

Examples

See examples/common-use-cases.md for:

• Vivid color enhancement
• Natural subtle adjustment
• Dramatic cinematic look
• Fix washed out photos
• Add warmth
• Before/after comparisons