GitHub
grafana
Grafana dashboard and alert management
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content media monitoring AI Skills
Discover content media monitoring skills, compare source repositories and read the instructions for each workflow.
Categories: content media monitoring
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GitHub
datadog
Datadog monitoring and observability with native dogshell CLI integration
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GitHub
sentry
Queries Sentry for issues, events, traces, and error analysis. Use when debugging production errors, searching issues, analyzing traces, or getting AI root cause analysis with Seer.
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GitHub
pop-routine-measure
Display routine measurement dashboard with metrics, costs, trends, and visualization
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GitHub
metrics-monitoring
Implement application metrics (RED, USE), alerting strategies, and monitoring dashboards
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GitHub
logging-strategies
Implement structured logging with appropriate levels, context, and correlation for effective debugging and monitoring
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GitHub
structured-logging
Apply structured logging best practices using Pino for Node.js applications: JSON output, log levels, context, redaction, correlation IDs, and centralization. Use when implementing logging, reviewing log statem...
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GitHub
verify-fix
Mandatory incident fix verification with observables. Invoke after: applying production fixes, before declaring incidents resolved, when someone says 'I think that fixed it'. Requires log entries, metric change...
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GitHub
observability
Logging, debugging, profiling, and performance monitoring for development. Use when adding logging, debugging issues, profiling performance, or instrumenting code for observability.
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GitHub
go-error-handling
Use when implementing Go error handling with error wrapping, sentinel errors, and custom error types. Use when handling errors in Go applications.
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GitHub
agentuity-cli-profile-create
Create a new configuration profile
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GitHub
agentuity-cli-profile-create
Create a new configuration profile
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GitHub
grafana-billing
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
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GitHub
site-reliability-engineer
Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus...
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GitHub
sentry-monitor
Sentry error monitoring and user behavior tracking via CLI. Use when: (1) debugging user-reported issues, (2) checking recent errors/crashes, (3) tracing user actions before an error occurred, (4) searching iss...
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GitHub
dapr-observability-setup
Configure OpenTelemetry tracing, metrics, and structured logging for DAPR applications. Integrates with Azure Monitor, Jaeger, Prometheus, and other observability backends.
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GitHub
dapr-config-validator
Automatically validate DAPR configuration files (dapr.yaml, component YAML files) when they are created or modified. Checks for schema compliance, missing required fields, invalid values, and common misconfigur...
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GitHub
dapr-troubleshooter
Proactively detect and diagnose DAPR runtime issues based on error patterns, log analysis, and common misconfigurations. Provides immediate solutions for service invocation failures, state management issues, pu...
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GitHub
distributed-tracing
Comprehensive distributed tracing with Jaeger, Zipkin, OpenTelemetry, correlation IDs, and span design.
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GitHub
observability
Production observability with structured logging, metrics collection, distributed tracing, and alerting
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GitHub
orchestrating-with-kubernetes
The agent implements Kubernetes container orchestration with deployments, services, Helm charts, and production patterns. Use when deploying containerized applications, configuring autoscaling, managing secrets...
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GitHub
service-mesh
Advanced service mesh implementation with Istio, Linkerd, traffic management, mTLS, and observability.
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GitHub
semantic-searchstatus
Use when you want to check semantic search server status, indexing progress, or watcher state
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GitHub
observability-monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.