Analyze screen content to describe UI, detect elements, and extract text.
npx skills add https://github.com/CoachSteff/superskills --skill vision-coachsteff
Please help me install this Agent Skill. Skill: vision Source: https://github.com/CoachSteff/superskills/tree/main/superskills/vision Command: npx skills add https://github.com/CoachSteff/superskills --skill vision-coachsteff
Analyzing and interpreting screen content manually is time-consuming and error-prone; this skill automates the process by describing UI, detecting elements, and extracting text.
Describe your current screen by asking the Vision Skill to analyze it using the describe mode.
High-intent search queries and answers about installing and using this skill.
To extract text from a screen capture for accessibility audits, you can use a vision skill to perform OCR on full-screen, region, or window captures. This automatically extracts visible text from the UI to generate actionable documentation and structured testing insights.
Yes, you can automatically detect UI elements and their approximate positions for test generation. By analyzing the main screen content, the tool identifies interface components and generates structured testing insights to drive QA automation.
Yes, you need a GEMINI_API_KEY and standard dependencies to analyze screens and describe UI. The tool uses Gemini Vision to process full-screen or region captures, requiring this key to automatically generate human-readable summaries of the content.
The best way to monitor screen changes over time for UI monitoring is by applying a continuous visual analysis mode. This identifies UI issues, tracks accessibility problems, and produces actionable QA notes from full-screen or window captures.
To analyze a specific application window instead of the full screen, you can provide optional window_id, app_name, or region inputs. This targets the screen analysis to a specific area, extracting text and detecting UI elements accurately.
FatByCapture full-screen, region, window, and multi-monitor screenshots as PNG files.
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