photo-clipper
10
总安装量
10
周安装量
#29331
全站排名
安装命令
npx skills add https://github.com/ppx123-web/claude-config --skill photo-clipper
Agent 安装分布
gemini-cli
8
claude-code
7
codex
7
opencode
7
github-copilot
6
cursor
6
Skill 文档
Photo Clipper
When to Use
Use this skill when the user asks to:
- Crop or trim a photo
- Remove parts of an image (e.g., “remove 20% from top”)
- Focus on a specific subject or area
- Improve composition (e.g., “apply rule of thirds”)
- Remove distractions from edges
- Adjust framing or aspect ratio
Instructions
This skill uses GPT-5 vision API to analyze photos and suggest intelligent cropping. Always:
- Validate input – Ensure photo exists and is JPG/PNG format
- Call GPT-5 – Get clipping suggestions based on user’s natural language prompt
- Validate safety – Ensure clipping doesn’t remove more than 50% per dimension
- Apply clipping – Crop the photo and save to new file (never overwrite original)
- Report results – Show what was removed and GPT-5’s reasoning
Usage
from photo_clipper import main
result = main(
photo_path="photo.jpg",
prompt="Remove 20% from top to reduce empty sky"
)
# Returns: "photo-clipped.jpg"
Command Line
python photo_clipper.py <photo_path> "<prompt>" [output_path]
Examples
Remove empty sky:
Remove 30% from top to reduce empty sky
Focus on subject:
Crop to focus on the person's face in the center
Remove distractions:
Remove the partial tree on the left edge
Improve composition:
Apply rule of thirds to balance the composition
Trim specific amount:
Remove 10% from all edges for a cleaner frame
Output
- Returns path to clipped photo
- Never overwrites original
- Format:
{original_name}-clipped.{ext} - Displays GPT-5’s confidence score and reasoning
Error Handling
- Falls back to safe defaults (no clipping) if GPT-5 unavailable
- Validates parameters (max 50% removal per dimension)
- 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 vision API integration
- Cropping algorithm details
- Error handling strategy
- Performance optimization
Examples
See examples/common-use-cases.md for:
- Remove empty sky
- Focus on subject
- Remove distractions
- Improve composition
- Error handling scenarios