unifuncs-search_skill

Overview

This skill integrates the UniFuncs API to perform real-time web searches and page reading across global and China-specific indexes. It delivers up-to-date web content and news for queries that require live internet access. The implementation is lightweight and designed to be called from scripts or programmatically in Python.

How this skill works

The skill sends queries to the UniFuncs endpoints for deepsearch, deepresearch, and standard web search, then parses and returns relevant snippets, links, and page content. It supports region selection to target global or China-specific sources and can retrieve full page text for deeper analysis. Authentication requires an API key provided via an environment variable.

When to use it

• You need the latest news or breaking information not available in local caches.
• You want to read or summarize live web pages for research or content validation.
• You require region-specific search results (global vs. China).
• You must augment a chatbot or automation with current web knowledge.

Best practices

• Store your UNIFUNCS_API_KEY securely as an environment variable, not in code.
• Limit result size and number of page fetches to control cost and latency.
• Specify region when you need China-specific sources to improve relevance.
• Cache frequent queries briefly to reduce repeated API calls for identical requests.

Example use cases

• Fetch the latest coverage on a developing event and extract key quotes for a briefing.
• Perform competitive intelligence by searching product pages and industry commentary.
• Aggregate regional search results to compare how a topic is reported in China versus globally.
• Read and summarize web pages for a research assistant or content generation pipeline.