What problem does it solve? Answering complex questions requires gathering, reading, and synthesizing information from many web sources, which is slow and error-prone when done manually. This Skill automates multi-source web research and delivers structured reports where every claim is backed by a cited source. ## Core Features & Use Cases - Multi-Source Search: Breaks a topic into 3-5 sub-questions and searches each with firecrawl and exa MCP tools, targeting 15-30 unique sources. - Deep Source Reading: Fetches full content of key sources via firecrawl_scrape or crawling_exa instead of relying on search snippets. - Cited Report Generation: Produces a structured report with executive summary, themed sections, inline citations, key takeaways, and a source list. - Parallel Research: Supports launching parallel subagents to research sub-questions concurrently for broad topics. - Use Case: Ask for a deep dive into the competitive landscape for AI code editors and receive a report with sourced findings, market context, and clearly labeled confidence levels. ## Quick Start Ask the agent to research the current state of nuclear fusion energy and deliver a cited report.