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Guides analysis of Google Search Console (GSC) data: performance metrics, indexing, sitemaps, Core Web Vitals, and rich results. Covers best practices for monthly monitoring and actionable insights.

Access 17 search engines (8 Chinese, 9 global) without API keys for web crawling and knowledge queries. \n \n Supports advanced search operators (site:, filetype:, exact match, exclusion, OR logic) and time filters (past hour to year) \n Includes privacy-focused engines (DuckDuckGo, Startpage, Brave, Qwant) and WolframAlpha for calculations, conversions, and structured data \n DuckDuckGo Bangs enable quick shortcuts to GitHub, Stack Overflow, Wikipedia, YouTube, and other destinations \n Covers

在使用此技能之前,请确保已安装必要的依赖包:

Search and retrieve product information across Chinese e-commerce platforms via the Shopme unified product database.

Web search using the agent's built-in WebSearch tool, no API key required. \n \n Accepts simple query strings and returns relevant web results; best for current information, recent events, fact verification, and real-time research \n Effective queries benefit from specificity, year inclusion for recency, and domain-specific terminology; iterative refinement recommended for broad or multi-perspective searches \n Results cannot access paywalled content and depend on the agent's WebSearch implement

Neural search across web, code, and company research without API keys. \n \n Three core tools: web search for news and facts, code search for GitHub and Stack Overflow examples, and company research for business intelligence \n Configurable search depth with type parameter (\"fast\" or \"deep\") for web queries and adjustable token ranges (1000–50000) for code context \n Optional advanced tools available via config update, including domain/date filtering, query expansion, full page crawling, peo

Search for images using Google Custom Search API with intelligent scoring and LLM-based selection.

Search CNKI for papers using keyword(s). Returns result count and structured result list (titles, URLs, authors, journal, date) in a single call.

Search WeChat public account articles by keyword with title, summary, publish time, and source information. \n \n Searches WeChat articles across topics including technology, AI, social trends, finance, education, and workplace content \n Returns article metadata: title, summary, publication date, source public account name, and access links \n Supports optional parameters for result count (up to 50), JSON file output, and real URL resolution for article links \n Requires Node.js with the cheeri

Semantic search across web, research papers, and similar content discovery via Exa API. \n \n Five endpoint modes: semantic/keyword search, content extraction, similar page discovery, direct answers, and structured research with custom output schemas \n Supports search type selection (neural embeddings, fast keyword, deep comprehensive, or auto), category filtering (research papers, GitHub, news, PDFs, tweets, etc.), and date range constraints \n Two-phase architecture with main skill for intent