web-search

Retrieve current web search results with URLs, titles, and snippets.

Updated Jun 1, 2026
One-click install
npx skills add https://github.com/atro2829-hub/APPLE-NET-NEW --skill web-search-atro2829-hub
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/atro2829-hub/APPLE-NET-NEW/tree/main/skills/web-search
Command: npx skills add https://github.com/atro2829-hub/APPLE-NET-NEW --skill web-search-atro2829-hub

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

This Skill adds real-time web search so applications can find current information beyond the model's knowledge cutoff. It is useful when you need fresh facts, recent news, or source-backed answers from the internet.

Core Features & Use Cases

  • Live Search Retrieval: Query the web and return structured results with URLs, snippets, dates, domains, and rankings.
  • Research and News Workflows: Gather up-to-date material for competitive research, topic exploration, fact checking, and current events tracking.
  • Backend Integration: Use the z-ai-web-dev-sdk in server-side code to build search APIs, result processors, caching layers, and summarization workflows.

Quick Start

Ask for a web search on a specific topic and return the top relevant results with titles, links, and snippets.

Frequently Asked Questions about web-search

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

FAQPage Schema
How do I retrieve real-time web search results for fact checking?

Real-time web search results are retrieved by querying the web through a backend SDK, returning structured metadata including URLs, titles, snippets, domains, and dates for fact checking. This provides current information beyond a static model's knowledge cutoff.

Can I use the z-ai-web-dev-sdk for news retrieval workflows?

Yes, the z-ai-web-dev-sdk can be used server-side for news retrieval workflows. It invokes web search to gather up-to-date material, returning ranked snippets and source URLs suitable for monitoring current events and competitive research.

What is the best way to get current information unavailable in a static model?

The best way to get current information is using a backend web search API to fetch live internet data. This returns fresh sources and structured snippets, bypassing the static knowledge cutoff limitations of pre-trained language models.

Does web search require backend integration to handle structured result metadata?

Yes, web search requires backend integration using the z-ai-web-dev-sdk to invoke queries and handle structured result metadata. Server-side code processes the returned URLs, snippets, dates, and domain rankings for application use.

How do I build a search API for content discovery using structured snippets?

Build a search API by invoking web search through a backend SDK to retrieve ranked snippets, titles, and favicons. This server-side integration processes live internet data for content discovery and result summarization workflows.

Why does my application need live web search for research workflows?

Applications need live web search for research workflows because static models lack recent data. Retrieving current internet sources provides fresh facts, recent news, and source-backed answers required for accurate topic exploration.