Aggregate multi-source data to monitor AI hotspots and surface trends.
npx skills add https://github.com/likebing99/LKB-hot-monitor --skill hot-monitor
Please help me install this Agent Skill. Skill: hot-monitor Source: https://github.com/likebing99/LKB-hot-monitor/tree/main/skills/hot-monitor Command: npx skills add https://github.com/likebing99/LKB-hot-monitor --skill hot-monitor
AI hotspot monitoring helps users collect, filter, and interpret scattered AI news and keyword signals across multiple sources, enabling faster, more reliable decisions.
Ask me to monitor a keyword or trigger an immediate hotspot scan.
High-intent search queries and answers about installing and using this skill.
You can monitor AI hotspots by using automated keyword management to trigger multi-source searches, which aggregate and filter data to surface high-quality, trustworthy emerging trends.
AI hotspot analysis can verify news authenticity and assign a heat score from 1-10, providing deduplicated results with Chinese summaries to help you evaluate trend reliability.
Keyword management allows you to add, delete, view, and enable or disable specific terms, ensuring your automated trend discovery only tracks the most relevant domain and product signals.
AI hotspot monitoring operates with zero backend dependencies, using local storage to persist your keywords and scan results while delivering in-dialog notifications for new updates.
Multi-source aggregation with AI-based filtering is the best way to collect scattered AI news, automatically deduplicating hotspot signals to surface only high-quality trend reports.
You can trigger an immediate hotspot scan on demand, allowing you to instantly aggregate multi-source data, verify authenticity, and generate heat scores without waiting for scheduled monitoring.
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