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observability-troubleshooting
Add or improve observability (logs, metrics, traces, alerts) and troubleshoot production or performance issues. Use when diagnosing incidents, defining SLOs, or instrumenting critical paths.
Skills IA content media monitoring
Découvrez les skills content media monitoring, comparez leurs dépôts et consultez leurs instructions.
Catégories: content media monitoring
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Explorer
GitHub
dapr
Comprehensive DAPR (Distributed Application Runtime) skill for building distributed microservices from hello world to professional production systems. Provides guidance on DAPR setup, building blocks (service i...
GitHub
kubernetes-cluster-manager
Manage manifests, Helm charts, autoscaling, and disruption budgets.
GitHub
alerting-and-monitoring
Define alerts, escalation, and incident response.
GitHub
tracing-observability
Structured logging and distributed tracing for Rust.
GitHub
error-tracking
Use this agent to implement error tracking with Sentry or similar service for production error monitoring. User: "Set up Sentry for error tracking" Agent: Use error-tracking to integrate Sentry User: "Moni...
GitHub
logging-aggregation
Centralize logs with ELK/EFK and retention policies.
GitHub
logging-optimizer
Tune log levels, structure, and sampling.
GitHub
logging-system
Use this agent when implementing structured logging with proper log levels, formatting, and rotation. User: "We're using print statements instead of proper logging" Agent: Use logging-system to implement stru...
GitHub
performance-monitoring
Use this agent to monitor application performance, API response times, and database query performance. User: "Add API response time monitoring" Agent: Use performance-monitoring to add metrics User: "Track...
GitHub
java-debugging-prod-incidents
Production incident debugging playbook for Java services: triage with logs/metrics/traces, safe JVM diagnostics (jcmd/JFR/thread dumps), rollback decision tree, communication, and blameless postmortems. Use dur...
GitHub
java-observability-metrics
Design and implement service metrics (counters, gauges, timers, histograms) with strict label/cardinality rules and SLO-ready signals. Use when adding KPIs/SLOs, building dashboards, or preventing metrics cardi...
GitHub
java-logging-structured
Implement structured logging (JSON/logfmt), correlation IDs, and safe log policies (levels, redaction, sampling). Use when incident response is slow, tracing request flows is hard, or logs are inconsistent acro...
GitHub
data-catalog-creator
Manage metadata, lineage, and discovery.
GitHub
audit-logger
Implement immutable audit logging and SIEM integration.
GitHub
java-observability-tracing
Implement distributed tracing with OpenTelemetry (context propagation, sampling, semantic conventions, span design) and integrate with logs/metrics. Use when debugging microservices latency, dependency failures...
GitHub
meta-health
Generate system health dashboard with compound engineering metrics
GitHub
eureka-context-engineering-v61
Complete Eureka V6.1 Context Engineering suite with observability, structured output, and hybrid memory
GitHub
observability-stack
Deploy metrics, logs, tracing, and SLO tracking.
GitHub
nestjs-observability
Structured logging (Pino) and Prometheus metrics.
GitHub
collecting-evidence
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.
GitHub
ej-deployment-bug-fix
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...
GitHub
olakai-troubleshoot
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,...
GitHub
aiops
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...
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.