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obershot

Capture full-screen or active-window screenshots and summarize them with a Haiku subagent.

60|3|Updated Dec 18, 2025
Search Tags:#automation#context#analysis#screenshot#thumbnail#haiku#ui-debugging
One-click install
npx skills add https://github.com/ryanthedev/oberskills --skill obershot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: obershot
Source: https://github.com/ryanthedev/oberskills/tree/main/skills/obershot
Command: npx skills add https://github.com/ryanthedev/oberskills --skill obershot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mss, Pillow, and includes scripts (resource) components.

What problem does it solve?

Screenshots are often heavy to manage and hard to extract actionable insights from. obershot provides a context-efficient way to capture, analyze, and summarize screen content without loading full-res images into context.

Core Features & Use Cases

  • Context-efficient capture: full-res capture plus a lightweight thumbnail for quick reference.
  • Haiku-based analysis: dispatches a specialized subagent to extract a concise summary, key UI elements, and actionable items.
  • Use cases: UI debugging, design reviews, automation feedback.

Quick Start

Run the capture script to produce a full screenshot, a thumbnail, and a haiku-generated summary.

Frequently Asked Questions about obershot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I capture a screenshot and generate a text summary for UI debugging?▼

A Haiku subagent analyzes screenshots by extracting a concise summary, identifying key UI elements, and noting actionable items. This approach provides context-efficient screen analysis without loading heavy full-resolution images directly into your context window.

Can I use Python to automate capturing active windows and saving thumbnails?▼

Yes, this screenshot analysis workflow requires Python and depends on the mss and Pillow libraries. These dependencies handle the screen capture and thumbnail image processing, while the Haiku subagent manages the text analysis.

What's the best way to analyze screenshots without consuming too much context?▼

The deterministic Python script returns a JSON payload containing the full resolution screenshot path, the thumbnail path, and the Haiku-generated summary. This structured output enables easy integration into automated workflows and straightforward error handling.

Does this screenshot analysis workflow support full-screen and active-window captures?▼

Yes, this screenshot analysis workflow supports both full-screen and active-window captures. It automates the capture process and returns a JSON payload containing the image paths and a Haiku-generated summary suitable for design reviews and automation feedback.

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