domain cluster

DevOps

CI/CD, cloud infrastructure, and monitoring.

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monitoring
26

setting-up-log-aggregation

This skill sets up log aggregation solutions using ELK (Elasticsearch, Logstash, Kibana), Loki, or Splunk. It generates production-ready configurations and setup code based on specific requirements and infrastructure. Use this skill when the user requests to set up logging infrastructure, configure log aggregation, deploy ELK stack, deploy Loki, deploy Splunk, or needs help with observability. It is triggered by terms like "log aggregation," "ELK setup," "Loki configuration," "Splunk deployment," or similar requests for centralized logging solutions.

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monitoring
26

collecting-infrastructure-metrics

This skill enables Claude to collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. It is triggered when the user requests "collect infrastructure metrics", "monitor server performance", "set up performance dashboards", or needs to analyze system resource utilization. The skill configures metrics collection, sets up aggregation, and helps create infrastructure dashboards for health monitoring and capacity tracking. It supports configuration for Prometheus, Datadog, and CloudWatch.

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monitoring
26

incremental-load-setup

Incremental Load Setup - Auto-activating skill for Data Pipelines. Triggers on: incremental load setup, incremental load setup Part of the Data Pipelines skill category.

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monitoring
26

metadata-extractor

Metadata Extractor - Auto-activating skill for Data Pipelines. Triggers on: metadata extractor, metadata extractor Part of the Data Pipelines skill category.

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monitoring
26

data-lineage-tracker

Data Lineage Tracker - Auto-activating skill for Data Pipelines. Triggers on: data lineage tracker, data lineage tracker Part of the Data Pipelines skill category.

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monitoring
26

databricks-observability

Set up comprehensive observability for Databricks with metrics, traces, and alerts. Use when implementing monitoring for Databricks jobs, setting up dashboards, or configuring alerting for pipeline health. Trigger with phrases like "databricks monitoring", "databricks metrics", "databricks observability", "monitor databricks", "databricks alerts", "databricks logging".

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monitoring
26

deploying-monitoring-stacks

This skill deploys monitoring stacks, including Prometheus, Grafana, and Datadog. It is used when the user needs to set up or configure monitoring infrastructure for applications or systems. The skill generates production-ready configurations, implements best practices, and supports multi-platform deployments. Use this when the user explicitly requests to deploy a monitoring stack, or mentions Prometheus, Grafana, or Datadog in the context of infrastructure setup.

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monitoring
26

apollo-observability

Set up Apollo.io monitoring and observability. Use when implementing logging, metrics, tracing, and alerting for Apollo integrations. Trigger with phrases like "apollo monitoring", "apollo metrics", "apollo observability", "apollo logging", "apollo alerts".

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monitoring
26

deepgram-observability

Set up comprehensive observability for Deepgram integrations. Use when implementing monitoring, setting up dashboards, or configuring alerting for Deepgram integration health. Trigger: "deepgram monitoring", "deepgram metrics", "deepgram observability", "monitor deepgram", "deepgram alerts", "deepgram dashboard".

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monitoring
26

flutter-bloc-state-management

BLoC/Cubit state management standards. ALWAYS consult when writing, modifying, reviewing, or testing any BLoC, Cubit, state, or event Dart file — even for small changes. (triggers: **_bloc.dart, **_cubit.dart, **_state.dart, **_event.dart, BlocProvider, BlocBuilder, BlocListener, Cubit, Emitter)

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monitoring
26

flutter-dependency-injection

Standards for automated service locator setup using injectable and get_it. Use when configuring dependency injection with injectable and get_it in Flutter. (triggers: **/injection.dart, **/locator.dart, GetIt, injectable, singleton, module, lazySingleton, factory)

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monitoring
26

azure-monitor-opentelemetry-exporter-java

Azure Monitor OpenTelemetry Exporter for Java. Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application Insights. Note: This package is DEPRECATED. Migrate to azure-monitor-opentelemetry-autoconfigure.

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monitoring
26

sagemaker-endpoint-deployer

Sagemaker Endpoint Deployer - Auto-activating skill for ML Deployment. Triggers on: sagemaker endpoint deployer, sagemaker endpoint deployer Part of the ML Deployment skill category.

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monitoring
26

aspire-service-defaults

Create a shared ServiceDefaults project for Aspire applications. Centralizes OpenTelemetry, health checks, resilience, and service discovery configuration across all services.

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monitoring
26

local-dev-server

Zero-friction local development server management for Empathy Ledger using PM2

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monitoring
26

spring-boot-observability

Standards for Micrometer, Distributed Tracing, and Structured Logging. Use when adding Micrometer metrics, distributed tracing, or structured logging to Spring Boot. (triggers: logback-spring.xml, application.properties, micrometer, tracing, correlation-id, mdc)

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monitoring
26

otel-expert

Use this when working with OpenTelemetry, telemetry, observability, traces, spans, metrics, logs, OTLP, semantic conventions, or instrumentation. Triggers on questions like "what attributes should I use", "how do I configure the collector", "what's the semconv for X".

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monitoring
26

apollo-router

Version-aware guide for configuring and running Apollo Router for federated GraphQL supergraphs. Generates correct YAML for both Router v1.x and v2.x. Use this skill when: (1) setting up Apollo Router to run a supergraph, (2) configuring routing, headers, or CORS, (3) implementing custom plugins (Rhai scripts or coprocessors), (4) configuring telemetry (tracing, metrics, logging), (5) troubleshooting Router performance or connectivity issues.

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monitoring
26

streaming-inference-setup

Streaming Inference Setup - Auto-activating skill for ML Deployment. Triggers on: streaming inference setup, streaming inference setup Part of the ML Deployment skill category.

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monitoring
26

new-relic-automation

Automate New Relic tasks via Rube MCP (Composio): APM, alerts, dashboards, NRQL queries, and infrastructure monitoring. Always search tools first for current schemas.

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monitoring
26

deploying-monitoring-stacks

Monitor use when deploying monitoring stacks including Prometheus, Grafana, and Datadog. Trigger with phrases like "deploy monitoring stack", "setup prometheus", "configure grafana", or "install datadog agent". Generates production-ready configurations with metric collection, visualization dashboards, and alerting rules.

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monitoring
26

setting-up-distributed-tracing

This skill automates the setup of distributed tracing for microservices. It helps developers implement end-to-end request visibility by configuring context propagation, span creation, trace collection, and analysis. Use this skill when the user requests to set up distributed tracing, implement observability, or troubleshoot performance issues in a microservices architecture. The skill is triggered by phrases such as "setup tracing", "implement distributed tracing", "configure opentelemetry", or "add observability to microservices".

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