Global Hot News Fetcher

What Problem It Solves

Cross-region news retrieval is usually slowed by uneven coverage, a mismatch between English sources and Chinese-language needs, and key facts scattered across headlines, summaries, and agency pages. globalnews turns global hot-news fetching into a reusable workflow: it searches across China, the US, Europe, the Middle East, Japan/Korea, Southeast Asia, Russia, and global coverage, then organizes results around livelihood, health, and life-safety topics.

How It Works

The skill first parses request parameters such as target regions, topic type, language preference, result count, and time range. It then uses WebSearch for prioritized search and WebFetch for detail retrieval, extracting key data such as affected population, funding amounts, and policy actions. The output is formatted in a consistent Chinese-English bilingual structure, preserving proper nouns, technical terms, and source attribution when needed, while marking unresolved items as “details pending” or “translation unconfirmed”. It also assigns heat ratings based on impact scope, helping readers quickly separate global crises from regional events and local developments.

Key steps:
- Request parsing: confirm regions, topics, language, count, and time window.
- Search and fetch: use WebSearch for leads and WebFetch for article details.
- Bilingual structuring: keep key numbers, terms, and sources in aligned summaries.
- Heat labeling: mark items by impact range for fast filtering.

Boundaries and Notes

This skill is well suited for news digests, topic briefs, and bilingual summaries, but it does not replace fact-checking or investigative reporting. Prefer items within 48 hours, verify key numbers, sources, and dates, and choose the most authoritative or latest version when the same event appears across multiple sources. If coverage is thin, it may add related-topic items while keeping at least five usable results.