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openai-vision

separate

Analyze images and multi-frame sequences using OpenAI GPT vision models

When to use

This skill enables image analysis, scene understanding, text extraction, and multi-frame comparison using OpenAI's vision-capable GPT models (e.g., `gpt-4o`, `gpt-4o-mini`). It supports single images, multiple images for comparison, and se…
Analyzing image content (objects, scenes, colors, spatial relationships)
Extracting and reading text from images (OCR via vision models)
Comparing multiple images to detect differences or changes
Processing video frames to understand temporal progression
Generating detailed image descriptions or captions
Answering questions about visual content

**Medical imagery**: Not suitable for diagnostic analysis of CT scans, X-rays, or MRIs
**Small text**: Text smaller than ~12pt may be misread; use `detail: high`
**Rotated/skewed text**: Accuracy decreases with text rotation; pre-process if needed
**Non-Latin scripts**: Lower accuracy for complex scripts (CJK, Arabic, etc.)
**Object counting**: Approximate counts only; may miss or double-count similar objects
**Spatial precision**: Cannot provide pixel-accurate bounding boxes or measurements
**Panoramic/fisheye**: Distorted images reduce analysis accuracy
**Graphs and charts**: May misinterpret line styles, legends, or data points

Repository	Path
benchflow-ai/skillsbench	`tasks/jpg-ocr-stat/environment/skills/openai-vision/SKILL.md`