What problem does it solve? Gathering current web information, verifying citations, and producing multi-source research reports normally requires juggling search engines, manual page reading, and note-taking. This Skill consolidates web search, URL extraction, and deep research into one CLI and Python interface backed by the Parallel Web Systems APIs, returning synthesized summaries with citations. ## Core Features & Use Cases - Web Search: Query the Parallel Chat API (base model) to get synthesized answers with inline citations and a deduplicated source list. - Deep Research: Run comprehensive multi-source research reports (core model) for market analysis, literature background, or competitive intelligence. - URL Extraction: Extract clean markdown from specific URLs, including PDFs and JavaScript-heavy pages, for citation verification. - Use Case: While writing a scientific paper section, run a deep research query on the topic, save the cited report to a sources folder, then verify each citation's metadata by extracting its DOI URL. ## Quick Start Set the PARALLEL_API_KEY environment variable, then ask the assistant to search the web for a topic and save the cited results into the project's sources folder.
