Tools
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.
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".
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".
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,
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.
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
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".
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.
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".
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".
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.
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.
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
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.
jaeger-tracing
ssrjkk
Tracing with Jaeger. distributed tracing.
observability-setup
spideynolove
Set up metrics, logs, and traces for a service. Use when a mid-level developer needs basic observability coverage.
observability
devartblake
Use this skill for logs, metrics, tracing, health checks, and dashboards.
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
Performance Regression Gates
majiayu000
Gates สำหรับตรวจจับ performance regression ผ่าน benchmarks, bundle size, และ load time monitoring
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
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
analyze-prod-issue
MaxPayne89
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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.