What problem does it solve? When a task depends on visible content but the prompt only contains an image file path or URL, the agent cannot see the image. This Skill routes one image plus narrow factual questions to a configured vision model via an MCP tool or installed CLI, returning observations the agent can reason over. ## Core Features & Use Cases - Targeted visual questions: Ask narrow factual questions (error codes, hex colors, pixel spacing) about a local file or image URL and receive per-question answers with uncertainty notes. - Whole-image transcription: Extract structured output from design mockups (HTML skeleton with inline CSS), text-heavy documents (Markdown), or charts (Markdown data tables). - MCP tool with CLI fallback: Prefer the inspect_image MCP tool from the agent-tools-vision server, falling back to the installed CLI invoked with a temporary JSON request file. - Use Case: A user shares a path to a UI mockup screenshot and asks you to implement it. The Skill transcribes the mockup as HTML with hex colors and pixel sizes, then answers follow-up questions to verify details. ## Quick Start Ask the agent to inspect the screenshot at ./designs/homepage.png and transcribe it as an HTML skeleton with inline CSS.