What problem does it solve? When a question requires a current, verifiable answer that cannot come from training knowledge, this Skill provides a disciplined procedure for searching the web, opening primary sources, cross-checking claims, and delivering an answer backed by cited URLs instead of stale or fabricated facts. ## Core Features & Use Cases - Tool Selection Guidance: Maps each research need to the right tool, including web_search, web_deep_search, web_fetch, browser, web_discover, and image_search, with clear rules on when snippets are insufficient. - Question vs. Enumeration Workflows: Distinguishes single-answer lookups from exhaustive enumeration tasks, sweeping candidate domains with web_discover until channels are exhausted. - Failure Recovery Playbook: Handles 403 errors, paywalls, JavaScript-rendered pages, syndicated content, and PDFs that resist direct fetching via curl download plus local read_extract. - Use Case: A user asks for the current version of a Rust crate and every available mirror of an old dataset. The Skill runs parallel searches, fetches primary sources, records findings with URLs, sweeps candidate domains, and reports a sourced answer with coverage notes. ## Quick Start Ask the agent to research a current factual question on the web and answer with cross-checked sources and URLs.