What problem does it solve? When researching a topic, relevant information is often scattered across many open browser tabs—meeting notes, documentation, library references. Manually reading and consolidating all of them is slow and error-prone. This Skill reads your currently open Chrome tabs, selects the ones relevant to your question, and builds a consolidated context summary. ## Core Features & Use Cases - Tab Discovery and Filtering: Lists all open tabs via the chrome-tabs MCP server and selects only those relevant to your query based on title and URL. - Parallel Tab Reading: Dispatches subagents to read multiple tabs in parallel, extracting key points, entities, and relationships aligned with your question. - Deep-Dive Follow-Up: Opens referenced pages in new tabs or re-reads tabs when the initial pass doesn't fully answer the question. - Use Case: You have a dozen meeting minutes and API reference pages open. Ask the Skill to summarize the decision history across the minutes, and it returns an answer plus a tab-by-tab index of where each fact lives. ## Quick Start Ask the assistant to read your open browser tabs and summarize the decision history across the meeting notes related to your current project.
