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google-web-search

Execute Google Search within Gemini models for grounded, cited answers.

Updated Feb 26, 2026
Search Tags:#search#real-time#citations#grounding#gemini#web
One-click install
npx skills add https://github.com/dfpalhano/openclaw-workspace --skill google-web-search-dfpalhano
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-web-search
Source: https://github.com/dfpalhano/openclaw-workspace/tree/main/skills/google-web-search
Command: npx skills add https://github.com/dfpalhano/openclaw-workspace --skill google-web-search-dfpalhano

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, pydantic-settings, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides up-to-date information from the web, overcoming the limitations of static knowledge cutoffs and offering verifiable sources for answers.

Core Features & Use Cases

  • Real-time Web Search: Leverages Gemini's google_search grounding tool for current information.
  • Grounded Answers: Provides natural language responses with verifiable citations.
  • Use Case: Ask "What are the latest developments in AI regulation?" and receive a concise answer with links to recent news articles and official reports.

Quick Start

Use the google-web-search skill to find out what the weather is like in Seoul today.

Frequently Asked Questions about google-web-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get real-time web search results with citations using Gemini?▼

To get real-time web search results with citations, you use this Skill to execute the Google Search grounding tool within Gemini models. It overcomes static knowledge cutoffs by returning natural language responses with verifiable source links.

What environment variables do I need to configure for grounded question answering?▼

Configuring grounded question answering requires the GEMINI_API_KEY environment variable. You also need the google-genai Python library installed to enable the Gemini model to execute the web search tool.

When should I use Gemini's web search grounding instead of its standard model responses?▼

Use Gemini's web search grounding when information is recent or requires verifiable citation. It is specifically designed for cases where standard model responses would fail due to static knowledge cutoffs.

How does the google-genai library handle current information retrieval?▼

The google-genai library handles current information retrieval by leveraging the google_search grounding tool. This mechanism allows Gemini models to query the web and provide concise answers with links to recent news articles and official reports.

Can I use this approach to check today's weather or breaking news?▼

Yes, you can use this approach to check today's weather or breaking news. By asking a natural language question, the Skill returns current information with citations, such as recent developments in AI regulation or local weather conditions.

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