Diagnose production errors by querying Sentry and App Insights telemetry.
npx skills add https://github.com/knowz-io/knowzcode --skill kc-telemetry
Please help me install this Agent Skill. Skill: kc-telemetry Source: https://github.com/knowz-io/knowzcode/tree/main/.gemini/skills/kc-telemetry Command: npx skills add https://github.com/knowz-io/knowzcode --skill kc-telemetry
This Skill helps diagnose production issues by investigating telemetry data from various sources like Sentry and App Insights, enabling root cause analysis and faster resolution.
Use the kc telemetry skill to investigate the recent spike in 500 errors on the checkout service.
High-intent search queries and answers about installing and using this skill.
You can diagnose production issues by querying telemetry data from Sentry and App Insights, correlating findings across sources to present a timeline, root cause analysis, and recommended fixes.
Yes, telemetry queries support environment and timeframe parsing, enabling targeted debugging by narrowing error investigation scopes across multiple configured telemetry sources.
Tracing issues in live production environments involves querying telemetry data from Sentry and App Insights to correlate findings, generate a timeline, and perform root cause analysis for faster resolution.
Yes, MCP tools are required for querying and correlating telemetry findings, enabling interaction with Sentry and App Insights to diagnose errors and trace production issues effectively.
Correlating Sentry and App Insights data combines error specifics with performance metrics, presenting a comprehensive timeline and root cause analysis to diagnose production issues and recommend fixes.
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fabnSearch and analyze Datadog APM traces to identify errors and performance issues.
