web-search

Search the web and fetch URL content as Markdown.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/shahmirerror/gsdcp-mobile --skill web-search-shahmirerror
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/shahmirerror/gsdcp-mobile/tree/main/.local/skills/web-search
Command: npx skills add https://github.com/shahmirerror/gsdcp-mobile --skill web-search-shahmirerror

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables rapid gathering of up-to-date information by searching the web and fetching content from URLs.

Core Features & Use Cases

  • webSearch(query): Search the web for current information and return results including searchAnswer and resultPages.
  • webFetch(url): Fetch and render content from a URL as Markdown for easy ingestion.
  • Use Case: Look up API documentation or verify breaking news and pull in the full article content for analysis.

Quick Start

Use the webSearch function to look up the latest official documentation for a topic and fetch the most relevant page for details.

Frequently Asked Questions about web-search

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

FAQPage Schema
How do I fetch real-time web content and convert a webpage to Markdown?

To fetch real-time web content, use a webFetch function that retrieves a URL and renders the page content as Markdown. This allows easy ingestion of live web pages for further processing or analysis.

What is the best way to search the web for current API documentation?

The best way to search for current API documentation is using a webSearch function that queries the web and returns a dict with a searchAnswer and resultPages. You can then fetch the most relevant page for full details.

Can I automate information gathering for breaking news verification?

Yes, you can automate information gathering for breaking news verification by combining a web search query with a URL fetch. This retrieves real-time search answers and renders full article content for analysis.

How do I retrieve and analyze full article content from web search results?

To retrieve and analyze full article content, first run a web search to get result pages, then pass the target URL to a web fetch function. This returns the page content formatted as Markdown for analysis.

Does web search require any dependencies to fetch real-time information across domains?

No dependencies are required to fetch real-time web information across domains. The search and fetch functions operate independently to return search answers and page content without external setup.

What format does fetched web page content return for downstream analysis?

Fetched web page content returns as Markdown format within a dict. This Markdown output enables straightforward text ingestion and analysis of real-time web information directly from the URL.