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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.

Service Mesh Setup

configuring-service-meshes

jeremylongshore/claude-code-plugins-plus-skills

Automates Istio and Linkerd configuration for microservices, generating production-ready manifests and setup code tailored to your infrastructure, emphasizing security, observability, and traffic management best practices.

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.

Database Migration Observability and CDC

database-migrations-migration-observability

sickn33/antigravity-awesome-skills

This guide provides expert patterns for building robust, observable infrastructure for database migrations. It covers real-time monitoring using Change Data Capture (CDC), metrics collection (Prometheus/Grafana), and anomaly detection. Use this skill when setting up CDC pipelines (e.g., Debezium with Kafka) or implementing comprehensive observability for database schema changes and data synchronization processes.

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.

AI-Assisted Debugging and Root Cause Analysis

debugging-toolkit-smart-debug

sickn33/antigravity-awesome-skills

A comprehensive, expert-level workflow for debugging complex software issues in production environments. This skill guides users through initial triage, advanced observability data collection (APM, distributed traces, logs), intelligent hypothesis generation, and full root cause analysis. Use it when dealing with intermittent failures, performance bottlenecks, or needing a complete fix and prevention plan.

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.

Deploy Monitoring Stack

deploying-monitoring-stacks

jeremylongshore/claude-code-plugins-plus-skills

Automate deploying production-ready monitoring stacks like Prometheus, Grafana, and Datadog, delivering configuration files, deployment scripts, and guided instructions for infrastructure-focused observability setups.

DevOps Infrastructure Guide

devops-infrastructure

CloudAI-X/claude-workflow-v2

Provides practical advice on Dockerfiles, CI/CD pipelines, deployment strategies, infrastructure-as-code, and observability, helping teams containerize apps, configure GitHub Actions, plan production rollouts, and keep deployments secure and observable.

Configure Distributed Tracing And Debugging

distributed-debugging-debug-trace

sickn33/antigravity-awesome-skills

This skill acts as an expert guide for setting up comprehensive debugging environments, implementing distributed tracing solutions, and establishing robust diagnostic workflows. It is ideal for diagnosing complex, multi-service issues in development or production environments by standardizing logging, tracking correlation IDs, and ensuring end-to-end observability.

Implementing Documenso Integration Observability

documenso-observability

jeremylongshore/claude-code-plugins-plus-skills

This skill provides a comprehensive framework for implementing observability for Documenso integrations. It wraps API calls using proxies to track key metrics (request counts, latency, error rates) and sets up structured logging and health checks. Use this when setting up monitoring stacks (like Prometheus/Grafana) or debugging production issues, ensuring detailed operational metrics are available.

Expert Error Analysis And Debugging

error-debugging-error-analysis

sickn33/antigravity-awesome-skills

This skill provides expert capabilities for diagnosing and resolving complex system failures in distributed environments. It is designed for investigating production incidents, performing deep root-cause analysis using observability tools (logging, tracing), and proposing robust, preventive fixes. Use it to significantly enhance system stability and reliability.

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