GitHub
data-governance
Use when defining data contracts, consent policies, and monitoring for automation programs.
☆ 90Voir le skill
Skills IA content media monitoring
Découvrez les skills content media monitoring, comparez leurs dépôts et consultez leurs instructions.
Catégories: content media monitoring
content media monitoring Effacer les filtres
Explorer
GitHub
ln-627-observability-auditor
Observability audit worker (L3). Checks structured logging, health check endpoints, metrics collection, request tracing, log levels. Returns findings with severity, location, effort, recommendations.
☆ 89Voir le skill
GitHub
ln-629-lifecycle-auditor
Application lifecycle audit worker (L3). Checks bootstrap initialization order, graceful shutdown, resource cleanup, signal handling, liveness/readiness probes. Returns findings with severity, location, effort,...
☆ 89Voir le skill
GitHub
ln-770-crosscutting-setup
Coordinates logging, error handling, CORS, health checks, and API docs
☆ 89Voir le skill
GitHub
ln-771-logging-configurator
Configures structured logging (Serilog/.NET, structlog/Python)
☆ 89Voir le skill
GitHub
ln-620-codebase-auditor
Coordinates 9 specialized audit workers (security, build, architecture, code quality, dependencies, dead code, observability, concurrency, lifecycle). Researches best practices, delegates parallel audits, aggre...
☆ 89Voir le skill
GitHub
metrics-dashboard
KPI and metrics dashboard workflow covering metric definition, data sourcing, visualization design, and anomaly detection. Delivers actionable dashboards.
☆ 86Voir le skill
GitHub
ops-platform-onboarding
Structured workflow for onboarding new services to the internal platform including infrastructure provisioning, observability setup, and documentation.
☆ 86Voir le skill
GitHub
prometheus-monitoring
Set up Prometheus monitoring for applications with custom metrics, scraping configurations, and service discovery. Use when implementing time-series metrics collection, monitoring applications, or building obse...
☆ 84Voir le skill
GitHub
service-mesh-implementation
Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.
☆ 84Voir le skill
GitHub
infrastructure-monitoring
Set up comprehensive infrastructure monitoring with Prometheus, Grafana, and alerting systems for metrics, health checks, and performance tracking.
☆ 84Voir le skill
GitHub
application-logging
Implement structured logging across applications with log aggregation and centralized analysis. Use when setting up application logging, implementing ELK stack, or analyzing application behavior.
☆ 84Voir le skill
GitHub
feature-flag-system
Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifec...
☆ 84Voir le skill
GitHub
distributed-tracing
Implement distributed tracing with Jaeger and Zipkin for tracking requests across microservices. Use when debugging distributed systems, tracking request flows, or analyzing service performance.
☆ 84Voir le skill
GitHub
security-audit-logging
Implement comprehensive security audit logging for compliance, forensics, and SIEM integration. Use when building audit trails, compliance logging, or security monitoring systems.
☆ 84Voir le skill
GitHub
canary-deployment
Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.
☆ 84Voir le skill
GitHub
error-tracking
Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application sta...
☆ 84Voir le skill
GitHub
correlation-tracing
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices. Use when debugging distributed systems, monitoring request flows, or implementing observability.
☆ 84Voir le skill
GitHub
logging-best-practices
Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels, structured logs, or...
☆ 84Voir le skill
GitHub
grafana-dashboard
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
☆ 84Voir le skill
GitHub
log-aggregation
Implement centralized logging with ELK Stack, Loki, or Splunk for log collection, parsing, storage, and analysis across infrastructure.
☆ 84Voir le skill
GitHub
model-monitoring
Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow
☆ 84Voir le skill
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...
☆ 84Voir le skill
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...
☆ 84Voir le skill
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.