{ "ok": true, "resource": { "id": "RES_2A86598AF232", "resource_type": "skill", "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/parallel-web", "name": "parallel-web", "summary_en": "Use Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.", "summary_zh": "使用 Parallel CLI 进行网络搜索、URL 提取、深度研究、结构化数据丰富、实体发现和定期网络监控。最适合明确需要当前网络证据、学术来源发现、重复实体查找、详尽报告或持续变更跟踪的请求。", "description_en": "This skill provides a unified interface to Parallel's web-intelligence workflows via the parallel-cli command-line tool. It routes user requests to one of several capabilities: Web Search for lookups and bounded research; Web Extract for fetching content from a known public URL (including PDFs and JavaScript-rendered pages); Data Enrichment for adding web-sourced fields to user-supplied rows; Deep Research for exhaustive, multi-source reports; FindAll for discovering entities matching natural-language criteria; and Monitor for recurring web change tracking. The skill includes setup instructions for installing parallel-cli (via uv tool install) and authenticating (interactively, via device flow, or using a PARALLEL_API_KEY environment variable). It emphasizes academic source priority for scientific queries, safety guidance for handling untrusted web content and constructing commands, context chaining via interaction IDs, and polling limits for long-running tasks. 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