Découvrez les skills blockchain monitoring, comparez leurs dépôts et consultez leurs instructions.
Implement distributed tracing with OpenTelemetry (context propagation, sampling, semantic conventions, span design) and integrate with logs/metrics. Use when debugging microservices latency, dependency failures...
Generate system health dashboard with compound engineering metrics
Complete Eureka V6.1 Context Engineering suite with observability, structured output, and hybrid memory
Deploy metrics, logs, tracing, and SLO tracking.
Structured logging (Pino) and Prometheus metrics.
Use when researching a specific pillar and need to create traceable evidence objects. Guides creation of YAML evidence files with semantic IDs, confidence scores, and assumptions.
EJ's structured deployment debugging workflow for when code changes are not reflected after deployment. Use when users report deployment failures, changes not appearing in production, build errors, CI/CD pipeli...
Troubleshoot Olakai monitoring issues when something isn't working. AUTO-INVOKE when user mentions: events not appearing, KPIs showing wrong values, KPIs showing strings instead of numbers, custom data missing,...
Generic AIOps (AI for IT Operations) patterns and best practices for 2025. Provides comprehensive implementation strategies for intelligent monitoring, automation, incident response, and observability across an...
Coordinates infrastructure, CI/CD, and deployment tasks. Use when provisioning infrastructure, setting up pipelines, configuring monitoring, or managing deployments. Applies devops-standard.md with DORA metrics...
Infrastructure, observability, and autoscaling guidelines for RawDrive. Use when working with Traefik, KEDA, Prometheus, Kafka, Kubernetes, or Docker configurations.
Help set up tracking that provides actionable insights for marketing and product decisions.
Inspire team logging standards, alerting guidelines, and monitoring setup. Use when implementing observability or debugging production issues.
Query Logfire database and generate rich dashboards from results. Use when analyzing telemetry data, creating visualizations, or exploring Logfire records.
Service mesh installation and configuration examples with authorization policies and traffic routing.
Standardizes staging/prod deploy, CI/CD gates, rollback, and monitoring. Invoke when configuring pipelines, releasing, or handling incidents.
Spring Boot CLI for project initialization and Actuator endpoints for monitoring and management.
Add comprehensive debugging and observability tooling for backend storage layers (PostgreSQL, ChromaDB) and startup metrics. Includes storage drift detection, raw data inspection endpoints, and a Next.js admin...
Monitor API integration of Parallel. Use when building applications with Parallel Monitor API.
Configure inference-planz plugin settings
Observability patterns for Python backends. Use when adding logging, metrics, tracing, or debugging production issues.
Implement JSON-based structured logging for observability. Use when setting up logging, debugging production issues, or preparing for log aggregation (ELK, Datadog). Covers log levels, context, and best practic...
Configures Dapr pub/sub components for event-driven microservices with Kafka or Redis. Use when wiring agent-to-agent communication, setting up event subscriptions, or integrating Dapr sidecars. Covers componen...
Monitor API integration of Parallel. Use when building applications with Parallel Monitor API.
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.