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.