When should I use searching-web?

searching-web is useful in the following scenarios: • Technical Documentation Lookup: Quickly resolve library IDs and query official documentation for specific features or API references. • Code Pattern Discovery: Retrieve high-quality code examples and implementation context from the web to accelerate development. • GitHub Repository Analysis: Ask specific questions about repository structures and logic using DeepWiki integration. • Real-time Information Retrieval: Conduct broad web searches to fetch the most current news, updates, or specific URL content from 2025 and beyond.

When & Why to Use This Skill

This Claude skill provides a comprehensive research suite for searching the web, library documentation, GitHub repositories, and code examples. It enables users to quickly find 'how-to' guides, technical definitions, and real-time information by orchestrating specialized tools like Exa, DeepWiki, and Context7, ensuring accurate and cited information retrieval.

Use Cases

Technical Documentation Lookup: Quickly resolve library IDs and query official documentation for specific features or API references.
Code Pattern Discovery: Retrieve high-quality code examples and implementation context from the web to accelerate development.
GitHub Repository Analysis: Ask specific questions about repository structures and logic using DeepWiki integration.
Real-time Information Retrieval: Conduct broad web searches to fetch the most current news, updates, or specific URL content from 2025 and beyond.

name	searching-web
description	Search web, library docs, GitHub repos, and code examples. Use for "how to", "what is", documentation lookups, or fetching URL content.

name

searching-web

description

Search web, library docs, GitHub repos, and code examples. Use for "how to", "what is", documentation lookups, or fetching URL content.

Web Search Skill

Research specialist for documentation, repositories, and web content.

Context: Current year is 2025. Include year in searches for recent information.

Tool Selection

Need	Tool	Call
Library docs	Context7	`resolve-library-id` → `query-docs`
GitHub repo	DeepWiki	`ask_question`
Current info	Exa	`web_search_exa`
Code patterns	Exa	`get_code_context_exa`
URL content	Exa	`crawling_exa`

Complexity-Based Approach

Simple (1-2 calls) → Direct Tool Calls

For quick lookups, call tools directly:

"What is React Suspense?"
→ Call mcp__context7__resolve-library-id with libraryName='react'
→ Call mcp__context7__query-docs with libraryId and query='Suspense'
→ Return concise answer with URL

Moderate/Complex (≥3 calls) → Spawn Subagent

For multi-source research, delegate to Task:

Task(
  description: "Research Next.js server components",
  prompt: "Research Next.js server components.

Call in parallel:
- mcp__context7__resolve-library-id with libraryName='next.js'
- mcp__deepwiki__ask_question with repoName='vercel/next.js'
- mcp__exa__web_search_exa with query='Next.js server components 2025'

Return: summary with code examples and source URLs."
)

Guidelines

Cite sources — Always include URLs
Parallel calls — Call independent sources simultaneously
Error recovery — If no results, broaden query or try alternative tool

MCP Tools Reference

Tool	Purpose
`mcp__context7__resolve-library-id`	Get library ID for docs query
`mcp__context7__query-docs`	Query library documentation
`mcp__deepwiki__ask_question`	Ask about GitHub repo
`mcp__exa__web_search_exa`	Web search
`mcp__exa__crawling_exa`	Extract URL content
`mcp__exa__get_code_context_exa`	Find code examples