Analyze unified CDN traffic patterns to reveal bottlenecks and reliability issues.
npx skills add https://github.com/hydrolix/public-skills --skill cdn-insights
Please help me install this Agent Skill. Skill: cdn-insights Source: https://github.com/hydrolix/public-skills/tree/main/skills/cdn-insights Command: npx skills add https://github.com/hydrolix/public-skills --skill cdn-insights
Normalize and analyze multi-CDN traffic data to reveal bottlenecks and reliability issues across providers.
Ask the AI to summarize current CDN performance by provider for the last hour.
High-intent search queries and answers about installing and using this skill.
You can compare CDN performance by querying the cdn_insights primary table and pre-aggregated mcdn_summary tables, filtering by timestamp, hdx_cdn, and edge_pop to identify which provider contributes most to latency.
You can diagnose cache inefficiencies and origin latency by querying the unified multi-CDN data model, which blends logs from various providers into a single view for quick comparisons and bottleneck identification.
The analysis supports multiple providers including Cloudflare and Fastly, utilizing the cdn_insights primary table and pre-aggregated mcdn_summary tables to ensure accurate cross-provider comparisons.
You can summarize last-hour CDN performance by querying the pre-aggregated mcdn_summary tables, filtering by timestamp to reveal diagnostic patterns like cache inefficiencies and geographic performance variances across providers.
Filtering by edge_pop and hdx_cdn ensures accurate results by preventing data aggregation errors across different CDN providers and geographic edge locations during traffic pattern analysis.
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