GitHub
observability
Implement error tracking, performance monitoring, and user issue detection. Use when adding error handling, Web Vitals reporting, or debugging production issues.
Skills IA blockchain monitoring
Découvrez les skills blockchain monitoring, comparez leurs dépôts et consultez leurs instructions.
Catégories: blockchain monitoring
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GitHub
agentuity-cli-profile-create
Create a new configuration profile
GitHub
activity-logging
Follow these patterns when implementing activity emission and audit logging in OptAIC. Use for emitting ActivityEnvelopes on mutations (create, update, delete, execute), designing payloads, and ensuring audit c...
GitHub
langsmith-debugger
Debug and analyze {{PROJECT_NAME}} LangGraph agent traces. Use when investigating agent behavior patterns, finding failures, analyzing latency, or understanding why Orchestrator/Analyst responses went wrong. Co...
GitHub
sentry-debugger
Debug and analyze {{PROJECT_NAME}} errors and exceptions. Use when investigating crashes, error patterns, performance issues, or understanding what went wrong in production. Covers error queries by agent, excep...
GitHub
latency-tracker
Per-call and aggregated latency tracking for MEV infrastructure. Use when implementing performance monitoring or debugging slow operations. Triggers on: latency, timing, performance, slow, speed, instrumentatio...
GitHub
error-logger
Structured JSON logging with correlation IDs for multi-service systems. Use when implementing logging, debugging failures, or tracing errors across services. Triggers on: add logging, error handling, debug fail...
GitHub
application-metrics
Guide for instrumenting applications with metrics. Use when adding observability, monitoring, metrics, counters, gauges, or instrumentation to code. Covers API endpoints, databases, queues, caching, and locks.
GitHub
monitoring
모니터링 및 관측성 스킬. Langfuse 트레이싱, Prometheus 메트릭, 로깅 관련 작업 시 자동으로 활성화됩니다. trace, metric, log, alert, dashboard 키워드에 반응합니다.
GitHub
grafana
Grafana, Loki, and Prometheus operations for the fzymgc-house Kubernetes cluster. Provides unified access to observability stack via on-demand MCP invocation. IMPORTANT: For logs and metrics, ALWAYS use this sk...
GitHub
kubernetes-helm-deployment
Kubernetes deployment patterns with Helm charts. Covers deployments, services, ConfigMaps, Secrets, Dapr sidecar injection, health probes, and resource management.
GitHub
metrics-analyst
Collects, analyzes, and reports software metrics for data-driven decision making and continuous improvement
GitHub
grafana-dashboards
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability...
GitHub
prometheus-configuration
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring...
GitHub
distributed-tracing
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observ...
GitHub
splunk-analyzer
Automate Splunk queries and analyze results using Chrome DevTools MCP. Use when the user wants to run Splunk searches, export log data, or analyze Splunk results. Triggers on requests like "check error rates",...
GitHub
dapr-integration
Integrate Dapr building blocks for event-driven microservices - Pub/Sub, State Management, Secrets, Service Invocation, and Jobs API. Use when implementing event-driven architecture for Phase 5. (project)
GitHub
kafka-setup
Set up Apache Kafka for event streaming - Strimzi for local Kubernetes, Redpanda Cloud for production. Use when configuring event-driven messaging for Phase 5. (project)
GitHub
observability-review
AI agent that analyzes operational signals (metrics, logs, traces, alerts, SLO/SLI reports) from observability platforms (Prometheus, Datadog, New Relic, CloudWatch, Grafana, Elastic) and produces practical, ri...
GitHub
debugging-agent
Self-Improving Agent that monitors all other agent skills, analyzes their logs, detects issues, and proposes improvements. AUTO-TRIGGERS: - Every 30 minutes (scheduled) - When error rate > 5% (any agent) - Whe...
GitHub
error-tracking
Set up error tracking with actionable context. Use when configuring error capture or error boundaries.
GitHub
api-tracing
Instrument API requests with spans and distributed tracing. Use when tracking request latency or debugging API issues.
GitHub
error-tracking
Add error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers/routes, instrumenting background jobs, or tracking performance. Suppor...
GitHub
observability
Real-time monitoring dashboard for PAI multi-agent activity. USE WHEN user says 'start observability', 'stop dashboard', 'restart observability', 'monitor agents', 'show agent activity', or needs to debug multi...
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.