Wires up Sentry's AI/LLM monitoring - tracing model calls, token spend, and failures - for an agent or LLM-backed application.
Visit skill This is mine — claim it
Source: https://github.com/getsentry/sentry-agent-skills/tree/main/skills/sentry-setup-ai-monitoring
Listing URL: https://wingmanprotocol.com/skills/sentry-setup-ai-monitoring/
Show your listing is live — the card backlinks here and picks up the verified badge automatically once you claim it.
<iframe src="https://wingmanprotocol.com/embed/card/sentry-setup-ai-monitoring" width="340" height="170" style="border:0;border-radius:10px" loading="lazy" title="Sentry AI Monitoring Setup — live on WingMan Protocol"></iframe>
Or the one-line script:
<script src="https://wingmanprotocol.com/embed/card.js" data-slug="sentry-setup-ai-monitoring" async></script>
Or a README badge:
[](https://wingmanprotocol.com/directory/sentry-setup-ai-monitoring?utm_source=badge)
Sets up Sentry alert rules - error-rate thresholds, new-issue notifications, performance regressions - routed to the right team channel.
Triages and fixes a Sentry-reported error end to end - pulls the issue's stack trace and context, locates the root cause in the codebase, and proposes or applie
Reviews a pull request for changes that could introduce new Sentry-trackable errors or regressions before it merges.
Instruments Sentry error tracking and performance monitoring into an app - covers Next.js, React, Python, and Go SDK setup with the framework-specific configura