error-tracking
Provide analysis and recommendations for error handling patterns, Sentry integration, and error monitoring strategies - ANALYSIS-ONLY skill that provides guidance without modifying code
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Provide analysis and recommendations for error handling patterns, Sentry integration, and error monitoring strategies - ANALYSIS-ONLY skill that provides guidance without modifying code
Deployment procedures, health checks, and rollback strategies. Use this skill when deploying applications, performing health checks, managing releases, or handling deployment failures. Provides systematic deplo...
Implement logging, metrics, tracing, and alerting for production applications. Covers structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), distributed tracing (OpenTelemetry), and aler...
Designs and builds Axiom dashboards via API. Covers chart types, APL patterns, SmartFilters, layout, and configuration options. Use when creating dashboards, migrating from Splunk, or configuring chart options.
Expert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available. Use for incident response, root cause analysis, produ...
Expert guidance for building Logseq plugins compatible with the new DB architecture. Auto-invokes when users want to create Logseq plugins, work with the Logseq Plugin API, extend Logseq functionality, or need...
Use dtctl CLI tool for querying observability data in Dynatrace via DQL (logs, metrics, traces, ...) and to manage Dynatrace platform resources (workflows, dashboards, notebooks, SLOs, settings, buckets, lookup...
Healer monitoring expertise - detection patterns, API endpoints, dual-model architecture, and remediation workflows. Use when monitoring Play workflows or debugging agent failures.
Query Prometheus metrics, Loki logs, and Grafana dashboards for diagnostics and incident response.
CTO observability stack expertise - Prometheus metrics, Loki logs, Grafana dashboards. Use when querying logs, metrics, or debugging via telemetry.
Implement deep instrumentation pipelines for tracing, metrics, and real-user monitoring of React apps.
Add PostHog feature flags for gradual rollouts, A/B tests, or beta features. Use when implementing feature toggles, experiments, or canary releases.
Real-time performance metrics collection, bottleneck detection, SLA monitoring, anomaly detection, and resource tracking. Use for continuous system monitoring, performance dashboards, and proactive issue detect...
Track and analyze usage metrics with timestamped logging
Implements and manages JU-DO-KON! features behind feature flags with observability and safe defaults.
Debug and troubleshoot SEA-Forge™ services using OpenTelemetry traces, metrics, and logs. Use for investigating performance issues, distributed tracing, log analysis, and production incident response. Integrate...
Application monitoring, logging systems, and alerting
Use when optimizing performance, profiling bottlenecks, or architecting for scale
Trace production alerts and issues back through REQ-* to original intent, creating new intent for remediation. Closes feedback loop from Runtime → Intent. Use when production alerts fire or issues discovered.
Setup observability platform configuration (Datadog, Prometheus, Splunk) with REQ-* dashboards and alerts. Creates monitors for each requirement with SLA tracking. Use when deploying to production or setting up...
Tag logs, metrics, and distributed traces with REQ-* keys for production traceability. Enables backward traceability from runtime issues to requirements to intent. Use when deploying code or setting up observab...
Expert-level Grafana dashboards, visualization, data sources, alerting, and production operations
Expert-level monitoring and observability with Prometheus, Grafana, logging, and alerting
Expert-level Prometheus monitoring, metrics collection, PromQL queries, alerting, and production operations
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。