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AI-Agent Skills for Sentry Tasks

22 agent skills that handle jobs people use Sentry for — for Claude Code, Codex, and Cursor.

This collection provides modular skills for AI agents like Claude Code, Codex, and Cursor to handle technical tasks commonly associated with application observability and error tracking. If you are a developer using these agents to manage reliability, these skills allow your workspace to perform specific diagnostic operations that align with your observability workflow. You can enable agents to analyze raw logs for patterns, profile CPU and memory usage, manage release artifacts, or configure diagnostic setups. Whether you are investigating an anomaly in data analytics, debugging webhook delivery, or setting up distributed tracing for a service mesh, these skills give your agent the specific instructions needed to act. They act as extensions for your AI tools, translating high-level troubleshooting requests into concrete technical actions. This library is designed for developers who want to reduce the manual overhead of investigating errors and system performance by offloading repetitive diagnostic steps to their preferred agent environment.

Top Sentry skills

service-mesh-observability

wshobson

Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.

574

sentry-release-management

jeremylongshore

Manage Sentry releases and associate commits. Use when creating releases, tracking commits, or managing release artifacts. Trigger with phrases like "sentry release", "sentry commits", "manage sentry versions", "sentry release workflow".

15

gcloud-usage

fcakyon

This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".

14

error-diagnostics-error-trace

sickn33

You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging,

13

devops-troubleshooter

sickn33

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.

12

observability-monitoring-monitor-setup

sickn33

You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da

12

vercel-observability

jeremylongshore

Execute set up comprehensive observability for Vercel integrations with metrics, traces, and alerts. Use when implementing monitoring for Vercel operations, setting up dashboards, or configuring alerting for Vercel integration health. Trigger with phrases like "vercel monitoring", "vercel metrics", "vercel observability", "monitor vercel", "vercel alerts", "vercel tracing".

21

error-debugging-error-trace

sickn33

You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.

11

openevidence-observability

jeremylongshore

Set up comprehensive observability for OpenEvidence integrations with metrics, traces, and alerts. Use when implementing monitoring for clinical AI operations, setting up dashboards, or configuring alerting for healthcare application health. Trigger with phrases like "openevidence monitoring", "openevidence metrics", "openevidence observability", "monitor openevidence", "openevidence alerts".

11

sentry-performance-tracing

jeremylongshore

Execute set up performance monitoring and distributed tracing with Sentry. Use when implementing performance tracking, tracing requests, or monitoring application performance. Trigger with phrases like "sentry performance", "sentry tracing", "sentry APM", "monitor performance sentry".

11

1k-sentry

OneKeyHQ

Sentry error tracking and monitoring for OneKey. Use when configuring Sentry, filtering errors, analyzing crash reports, or debugging production issues. Covers platform-specific setup (desktop/mobile/web/extension) and error filtering strategies.

10

Logging and Monitoring for Agentic Workflows

Hack23

Comprehensive observability patterns for GitHub Agentic Workflows including structured logging, metrics collection, alerting strategies, debugging techniques, and production monitoring best practices for autonomous agent systems.

00

incident-commander

anubhavg-icpl

Comprehensive incident response framework from detection through resolution and post-incident review. Battle-tested SRE/DevOps practices: severity classification, timeline reconstruction, structured post-incident analysis. Use when declaring an incident, coordinating multi-team response during an ou

00

autotel

jagreehal

Use when instrumenting with trace/span/track, reviewing code for logging and observability patterns, converting console.log to wide events, adding structured errors, setting up canonical log lines, configuring init(), adding subscribers, or working in the autotel monorepo.

00

jaeger-tracing

ssrjkk

Tracing with Jaeger. distributed tracing.

00

observability-setup

spideynolove

Set up metrics, logs, and traces for a service. Use when a mid-level developer needs basic observability coverage.

00

observability

devartblake

Use this skill for logs, metrics, tracing, health checks, and dashboards.

00

go-logging-observability

riordanpawley

Build and review production-grade Go logging and observability with `log/slog` and OpenTelemetry. Use when adding or refactoring logs, instrumenting request paths, defining event schemas, reducing log cost/cardinality, enforcing redaction/PII policy, correlating logs with traces, or reviewing Go ser

00

Performance Regression Gates

majiayu000

Gates สำหรับตรวจจับ performance regression ผ่าน benchmarks, bundle size, และ load time monitoring

00

ai-debug-harness

DeandreFu

Self-driving Electron + Node debug harness with NDJSON logs, Playwright E2E, doctor preflight, and a YAML-frontmatter cookbook of known causes. Use when a voice-chat E2E flow misbehaves locally, audio publish silently fails, the agent worker emits warnings, or any LiveKit/Electron/Fastify error appe

00

performance-monitor

adiytharpansa

Real-time monitoring and optimization of system performance. Use when you need to track response times, resource usage, skill efficiency, and overall system health. This skill enables continuous performance optimization, bottleneck detection, and proactive improvements to keep OpenClaw running at pe

00

analyze-prod-issue

MaxPayne89

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00

How to choose a Sentry skill

When selecting a skill, first review its specific trigger phrases and intended context to ensure it fits your current stack. Check the creator and last updated date to gauge ongoing maintenance. Review the documented scope: does it handle narrow tasks like GCloud log queries or broad ones like error tracking setup? Finally, look at the output it generates—whether it provides a report, executes a configuration, or triggers an analysis—to ensure the result matches your debugging requirements.

Frequently asked

Are these skills official integrations for Sentry?
No. These are independent skills created for AI agents to help manage tasks related to error tracking and observability. They are not plugins for Sentry, nor do they claim to be endorsed or developed by the Sentry team. Use these to automate your local diagnostic workflows, not to replace your existing observability platform.
Which skills should I prioritize for debugging production errors?
Start with error-diagnostics-error-trace for foundational setup and analyzing-logs for pattern identification. If your performance issues are resource-related, add profiling-application-performance to your agent's toolkit. For infrastructure-specific issues, choose the skill matching your environment, such as gcloud-usage for GCP or service-mesh-observability for tracing distributed components.

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