General
obs-visual-feedback - Claude MCP Skill
Real-time visual feedback and screenshot verification for OBS Studio scene configuration
SEO Guide: Enhance your AI agent with the obs-visual-feedback tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to real-time visual feedback and screenshot verification for obs studio scene configuration... Download and configure this skill to unlock new capabilities for your AI workflow.
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Documentation
SKILL.md# OBS Visual Feedback Real-time visual feedback skill for verifying OBS scene configuration and layout. ## Capabilities - Screen shot automation: Capture OBS window from correct display - Scene verification: Visual confirmation of scene layouts - Source boundary detection: Identify red outline measurements - Multi-monitor support: Handle LG portrait + Samsung landscape setup - Layout validation: Check source positioning and scaling ## Display Configuration ### Monitor Setup - Display 1: Samsung 3840x2160 VS Code - Display 2: LG 3384x6016 rotated 90° OBS Studio ### Screen shot Commands bash # Capture OBS on Display 2screencapture -x -D 2 obs_screen shot.png # Capture with timestampscreencapture -x -D 2 screen shots/obs_date +%Y%m%d_%H%M%S.png ## Visual Analysis When active, I can: - Take screen shots of the correct OBS monitor - Read pixel measurements from red source outlines - Verify scene composition and layout - Detect black screens or missing sources - Compare preview vs program in Studio Mode - Track visual changes during scene switches ## Source Measurement Reading red outline boundaries: - Top/Bottom/Left/Right pixel distances - Source dimensions within canvas - Scaling and position verification - Layer order confirmation ## IntegrationWorks with: - macOS screencapture for Display 2 - OBS Web Socket for scene state - Visual analysis of captured images
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Information
- Repository
- mickdarling/dollhouse-portfolio
- Author
- mickdarling
- Last Sync
- 1/14/2026
- Repo Updated
- 10/25/2025
- Created
- 1/13/2026
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