go-error-wrapping
Wrap errors with context using fmt.Errorf %w pattern
Découvrez les skills blockchain monitoring, comparez leurs dépôts et consultez leurs instructions.
Wrap errors with context using fmt.Errorf %w pattern
Monitoring and observability with Prometheus, Grafana, ELK Stack, and distributed tracing.
Distributed tracing with Jaeger, OpenTelemetry, and observability platforms for microservices insights
Centralized logging with ELK Stack, Loki, Fluentd, and log analysis for distributed systems
Implement monitoring, alerting, and observability with CloudWatch
Master performance testing with load testing, stress testing, JMeter, k6, and performance benchmarking.
Deploy serverless workloads with Knative Serving for scale-to-zero and autoscaling. Use for creating Knative Services, configuring autoscaling, traffic splitting, and revisions. Triggers on "knative service", "...
Implement OpenTelemetry-based observability for traces, metrics, and logs. Use for distributed tracing, Prometheus metrics, structured logging, and agent monitoring. Triggers on "OpenTelemetry", "OTEL", "tracin...
Use PROACTIVELY when setting up OpenTelemetry monitoring for Claude Code usage tracking, cost analysis, or productivity metrics. Provides local PoC mode (full Docker stack with Grafana) and enterprise mode (cen...
Use this skill whenever the user wants to improve or set up logging, tracing, metrics, and monitoring for Cloudflare Workers/Pages (e.g. Hono + TypeScript), including Wrangler tail, Workers Analytics, log struc...
Create specialized infrastructure agent definitions for platform/service management (Grafana, Prometheus, Traefik, ERPNext, etc.). Use when the user requests creation of an agent for a specific technology platf...
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...
Audit Axiom logs to identify and prioritize errors and warnings, research probable causes, and flag log smells. Use when user asks to check Axiom logs, analyze production errors, investigate log issues, or audi...
Use this when working with OpenTelemetry, telemetry, observability, traces, spans, metrics, logs, OTLP, semantic conventions, or instrumentation. Triggers on questions like "what attributes should I use", "how...
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.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.