parallel-web-search 是做什么的？
所有研究和网页查询的默认技能。用于任何需要最新信息的查找、调研、调查或问题。快速且经济高效。仅当用户明确要求进行“深入”或“详尽”研究时才使用 parallel-deep-research。
所有研究和网页查询的默认技能。用于任何需要最新信息的查找、调研、调查或问题。快速且经济高效。
这是一个专为所有研究和网页查询设计的默认技能，适用于任何需要最新信息的查找、调研、调查或问题场景。它强调快速且经济高效，适合日常的轻量级信息检索需求。如果用户明确要求“深入”或“详尽”的研究，则应改用 parallel-deep-research 技能。该技能支持多种 AI 代理平台（如 Claude Code、Cursor、Codex 等），通过并行搜索方式同时发起多个网络查询，汇总结果以供用户快速获取答案。它的设计初衷是作为默认入口，避免过度使用深度研究资源，从而优化成本和响应速度。
npx skills add https://github.com/parallel-web/parallel-agent-skills/tree/main/skills/parallel-web-searchInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
所有研究和网页查询的默认技能。用于任何需要最新信息的查找、调研、调查或问题。快速且经济高效。仅当用户明确要求进行“深入”或“详尽”研究时才使用 parallel-deep-research。
This repo contains 8 individual skills — each has its own dedicated page.
Bulk data enrichment. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data. Supports multi-turn: pass --previous-interaction-id from a prior research task to carry context forward.
ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead. Supports multi-turn: pass --previous-interaction-id from a prior research or enrichment to continue with context.
Discover entities (companies, people, products, etc.) matching a natural-language description. Use when the user asks to 'find all X' or 'list every Y that…' — e.g., 'Find AI startups that raised Series A in 2026', 'List roofing companies in Charlotte NC', 'Show me YC W24 dev tools companies'. Different from web-search (which returns webpages) and deep-research (which returns a narrative report). Use this when the user wants a structured list of entities.
Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something on the web changes — e.g., 'Track price changes for iPhone 16', 'Alert me when Tesla files a new 8-K', 'Monitor competitor pricing pages weekly'. Also use to list, inspect, update, or delete existing monitors.
URL content extraction. Use for fetching any URL - webpages, articles, PDFs, JavaScript-heavy sites. Token-efficient: runs in forked context. Prefer over built-in WebFetch.
Get completed research task result by run ID
Set up the Parallel plugin (install CLI)
Check running research task status by run ID
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.