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global-search

Query Zhihu's global_search API and normalize results into JSON.

98|7|Updated Mar 12, 2026
Search Tags:#api#structured-output#web-content#data-structure#agent-integration#zhihu#global-search
One-click install
npx skills add https://github.com/Sea-Go/Sea-BreakTheWaves --skill global-search
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: global-search
Source: https://github.com/Sea-Go/Sea-BreakTheWaves/tree/main/agent_v2/skills/global-search
Command: npx skills add https://github.com/Sea-Go/Sea-BreakTheWaves --skill global-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Retrieve and structure content from Zhihu's global_search API, delivering concise, structured data for AI agents to consume.

Core Features & Use Cases

  • Global search queries: fetch content across the web and retrieve titles, URLs, authors, summaries, and timestamps.
  • Structured output: normalize API responses into a consistent JSON schema for easy consumption by downstream tools.
  • Use cases: research briefs, competitive intelligence, content discovery, and real-time information gathering for decision-making.

Quick Start

Invoke the Python script with a JSON payload containing your query and the desired count to fetch and structure the results.

Frequently Asked Questions about global-search

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

FAQPage Schema
How do I get structured web search results from Zhihu for AI agent integration?▼

To get structured web search results for AI agents, you query the Zhihu global_search API to retrieve titles, URLs, authors, and summaries. This process normalizes the API response into a stable JSON schema for downstream consumption.

Can I configure the number of search results returned from the global search API?▼

Yes, you can configure the search results count by passing the desired number within a JSON payload to the script. This allows targeted content gathering for research briefs or competitive intelligence monitoring.

What is the JSON schema format for normalized Zhihu search responses?▼

The normalized JSON schema structures Zhihu global search responses into consistent fields including titles, URLs, authors, summaries, and timestamps. This strict normalization ensures stable consumption by downstream AI tools.

How do I handle API errors and validate input when querying Zhihu global search?▼

The script implements strict input validation and error handling during the Zhihu global_search API query process. This ensures malformed requests are caught before execution and API failures are managed gracefully.

Does this structured web content retrieval tool require external dependencies?▼

No external dependencies are required to run this Zhihu global search retrieval tool. It operates standalone using Python scripts to fetch and structure web content into a JSON schema.

When should I use structured Zhihu search results instead of raw HTML parsing?▼

You should use structured Zhihu search results instead of raw HTML parsing when you need a stable JSON schema for AI agent integration. It delivers normalized titles, URLs, and summaries directly, bypassing brittle HTML extraction.

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