Searching Web

Web searching automatically retrieves current documentation by using intelligent fallback between multiple search providers. When you need up-to-date information, the Skill searches Brave-Search first, then switches to WebFetch if unavailable, and prioritizes open-source library documentation from Context7, returning results with URLs and extracted page content.

Yes, automated web search handles multi-source research by performing searches across available providers and returning multiple results with titles and URLs. The Skill extracts page content when available and manages errors and redirects automatically, eliminating manual tool switching.

The Skill implements intelligent fallback, automatically switching from Brave-Search to WebFetch when the primary provider is unavailable. This priority-based workflow ensures reliable information retrieval without interruption or manual intervention.

Use web search when you need current information that changes frequently, must verify official documentation, or when a user explicitly requests it. The Skill is designed for information retrieval problems requiring up-to-date sources beyond static training data.

Yes, the Skill optimizes for open-source libraries by prioritizing Context7 for their documentation when available, ensuring you get official and accurate reference material alongside standard web search results.

Web search returns multiple results with URLs and titles, extracts page content when available, and handles errors and redirects transparently. Results are presented with sufficient context to identify relevant sources without requiring manual filtering.