web-search

Name: web-search
Availability: InStock
Author: lucmac667

Perform web searches via the z-ai-web-dev-sdk and return structured results.

Updated Aug 23, 2026

Search Tags:#backend #sdk #CLI #real-time #web-search #structured-results #content-discovery

Ready to run

npx skills add https://github.com/Lucmac667/Be-Ballenced-Dashboard --skill web-search-lucmac667

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/Lucmac667/Be-Ballenced-Dashboard/tree/main/Be-Ballenced-Dashboard/skills/web-search
Command: npx skills add https://github.com/Lucmac667/Be-Ballenced-Dashboard --skill web-search-lucmac667

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Applications often need access to current information from the web. This skill provides a reliable way to perform web searches and return structured results that can be consumed by backend services or UI layers.

Core Features & Use Cases

Real-time web search queries via the z-ai-web-dev-sdk.
Returns structured results including url, name, snippet, host_name, date, and favicon.
Supports CLI and SDK usage for integration into apps and workflows.
Use cases include content discovery, market monitoring, competitive research, and information validation.

Quick Start

Use the web search skill to perform a simple query. For CLI, run: z-ai function --name web_search --args '{"query": "latest AI news"}' For SDK usage, create a ZAI instance and invoke the function: const zai = await ZAI.create(); const results = await zai.functions.invoke('web_search', { query: 'latest AI news', num: 5 });

Frequently Asked Questions about web-search

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

FAQPage Schema

How do I perform real-time web searches and return structured results in a backend application?▼

Real-time web search in a backend application is performed using the z-ai-web-dev-sdk, which accepts a query string and optional parameters like num and recency_days to return structured items containing url, name, snippet, host_name, date, and favicon.

Can I use the web search SDK function via CLI for content discovery workflows?▼

Yes, the web search function supports CLI usage for content discovery by executing z-ai function --name web_search with a JSON arguments payload, returning structured search results directly to your terminal for immediate integration.

What parameters can I pass to filter web search results by recency and number?▼

You can filter web search results by passing the num parameter to limit the number of returned items and the recency_days parameter to restrict results to a specific recent timeframe, ensuring the structured data fits your application's specific needs.

Does the web search function require any specific dependencies to work?▼

Yes, the web search function requires the z-ai-web-dev-sdk dependency to be installed and configured in your environment to successfully execute queries and retrieve structured data for your backend services.

What is the best way to integrate real-time web search results into an existing Node.js application?▼

The best way to integrate real-time web search is by creating a ZAI instance using const zai = await ZAI.create(), then invoking the web_search function with your query parameters to receive structured JSON objects ready for application consumption.

What specific data fields are included in the structured web search results?▼

Structured web search results include specific data fields such as url, name, snippet, host_name, date, and favicon for each item, providing comprehensive metadata for content discovery and market monitoring workflows.