gpt-multimodal

1# OpenAI Vision Analysis Skill
2 
3## Purpose
4This skill enables image analysis, scene understanding, text extraction, and multi-frame comparison using OpenAI's vision-capable GPT models (e.g., `gpt-4o`, `gpt-5`). It supports single and multiple images analysis and sequential frames for temporal analysis.
5 
6## When to Use
7- Analyzing image content (objects, scenes, colors, spatial relationships)
8- Extracting and reading text from images (OCR via vision models)
9- Comparing multiple images to detect differences or changes
10- Processing video frames to understand temporal progression
11- Generating detailed image descriptions or captions
12- Answering questions about visual content
13 
14## Required Libraries
15 
16The following Python libraries are required:
17 
18```python
19from openai import OpenAI
20import base64
21import json
22import os
23from pathlib import Path
24```
25 
26## Input Requirements
27- **File formats**: JPG, JPEG, PNG, WEBP, non-animated GIF
28- **Image quality**: Clear and legible; minimum 512×512px recommended
29- **File size**: Under 20MB per image recommended
30- **Maximum per request**: Up to 500 images, 50MB total payload
31- **URL or Base64**: Images can be provided as URLs or base64-encoded data
32 
33## Output Schema
34All analysis results should be returned as valid JSON conforming to this schema:
35 
36```json
37{
38  "success": true,
39  "model": "gpt-5",
40  "analysis": "Detailed description or analysis of the image content...",
41  "metadata": {
42    "image_count": 1,
43    "detail_level": "high",
44…