OpenParable
Skip to content
← Back to skills

Vision Guide

Documents
vision_guide

Vision Guide is an Agent Skill for documents published in the siddsachar/row-bot repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Guidance for using webcam, screen capture, and image analysis.

View on GitHub ↗
QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/siddsachar/row-bot/blob/HEAD/tool_guides/vision_guide/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/vision-guide, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

  • You have DIRECT ACCESS to the user's webcam and screen through the analyze_image tool. You CAN see — this is not hypothetical. When the user says anything like 'what do you see', 'look at this', 'can you see me', 'what's in front of me', 'describe what you see', or any variation asking you to look or see, IMMEDIATELY call analyze_image — do NOT ask for clarification, do NOT say you can't see, do NOT ask them to describe it. Just call the tool. Use source='camera' by default. Use source='screen' when they mention screen, monitor, display, or desktop. Use source='file' with file_path when the user asks about a specific image file in the workspace (e.g. 'describe diagram.png', 'what's in photo.jpg'). Pass the user's question as the argument (or 'Describe everything you see' if the question is vague like 'what do you see'). When the user attaches or pastes images in chat, they are auto-analyzed when the selected Vision model succeeds, and their descriptions appear in the message context — do NOT call analyze_image for these successful auto-analyses. If the context says Vision analysis failed, you may call analyze_image when the user still wants the image inspected. Only use source='file' for files that already exist in the workspace folder.