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Centralized Metrics Aggregation

aggregating-performance-metrics

jeremylongshore/claude-code-plugins-plus-skills

Aggregates performance metrics from applications, systems, databases, caches, queues, and external services into a central platform, helping teams define a consistent taxonomy, choose aggregation tools, and create dashboards and alerts for faster monitoring and troubleshooting.

Azure Monitor Query SDK for Python

azure-monitor-query-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for interacting with Azure Monitor services. It enables developers to execute complex Kusto Query Language (KQL) queries against Log Analytics workspaces and retrieve various resource metrics (CPU usage, network traffic, etc.). Ideal for building robust monitoring dashboards, automated alerting systems, and custom data analysis pipelines in cloud environments.

Azure Real-Time Messaging SDKs

azure-web-pubsub-ts

sickn33/antigravity-awesome-skills

A comprehensive SDK suite for implementing real-time messaging and pub/sub patterns using Azure Web PubSub with TypeScript. It utilizes WebSocket connections to facilitate robust communication, supporting features like group broadcasts, direct user messaging, and custom event handling. Ideal for building chat applications, live dashboards, and notification systems requiring high real-time performance.

Building Scalable WebSocket Servers

building-websocket-server

jeremylongshore/claude-code-plugins-plus-skills

Provides a comprehensive guide and implementation pattern for building scalable WebSocket servers. This skill covers real-time, bidirectional communication, handling connection lifecycle, implementing room/channel subscriptions, and ensuring horizontal scalability using Redis pub/sub. It is ideal for developing high-throughput, low-latency applications like chat platforms, live dashboards, and collaborative editing tools.

Monitoring CodeRabbit Review Metrics

coderabbit-observability

jeremylongshore/claude-code-plugins-plus-skills

Monitor the effectiveness and adoption of AI code reviews using CodeRabbit. This skill calculates critical metrics including review coverage percentage, time-to-first-review, and comment acceptance rates. It is ideal for building organizational dashboards to maintain high code quality and optimize development workflows.

Infrastructure Metrics Collection

collecting-infrastructure-metrics

jeremylongshore/claude-code-plugins-plus-skills

Automates configuring and aggregating infrastructure metrics across compute, storage, network, containers, load balancers, and databases with Prometheus, Datadog, or CloudWatch for dashboards and capacity tracking.

Project Status Tracking and Reporting

conductor-status

sickn33/antigravity-awesome-skills

This skill provides a comprehensive, actionable overview of the Conductor project's status. It aggregates information from project plans, active tracks, and detailed specifications to display overall progress, identify next critical tasks, and flag potential blockers. Use it when you need a high-level dashboard view of project health and required actions.

APM Dashboard Creator

creating-apm-dashboards

jeremylongshore/claude-code-plugins-plus-skills

Automates crafting APM dashboards by identifying required metrics, selecting golden signals, and generating configurations for Grafana, Datadog, or other monitoring platforms, so you can quickly visualize application health and performance.

Customer.io Observability and Metrics Setup

customerio-observability

jeremylongshore/claude-code-plugins-plus-skills

This skill provides a comprehensive solution for implementing observability for Customer.io integrations. It covers setting up Prometheus metrics (latency, request counts, bounces), structured JSON logging with PII redaction, and OpenTelemetry tracing. Use it when building robust, production-grade monitoring dashboards and alerting systems for Customer.io APIs.

Databricks Observability and Monitoring Tools

databricks-observability

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive observability for the Databricks platform. It enables users to monitor job run histories, track cluster utilization and associated costs (DBU), detect slow SQL queries, and audit access logs. Use it for setting up robust monitoring dashboards, ensuring pipeline health, and optimizing resource consumption across the entire data stack.

Datadog Automation Hub

datadog-automation

davepoon/buildwithclaude

Automates Datadog monitoring workflows via Composio’s Rube MCP, letting you query metrics, search logs, manage monitors and dashboards, and create events or downtimes after connecting to the MCP toolkit and tools list.

Deepgram Observability Stack Setup

deepgram-observability

jeremylongshore/claude-code-plugins-plus-skills

Implements a comprehensive observability stack for Deepgram integrations. It utilizes Prometheus metrics for tracking request rates, latency, and costs, OpenTelemetry for distributed tracing, Pino for structured logging, and AlertManager rules for proactive alerting. Essential for production monitoring, dashboard setup, and performance analysis of Deepgram API usage.

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