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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 Service Bus .NET Messaging SDK

azure-servicebus-dotnet

sickn33/antigravity-awesome-skills

The comprehensive official SDK for implementing enterprise-grade messaging patterns in .NET applications. It provides reliable connectivity to Azure Service Bus, supporting queues, topics, subscriptions, and ordered sessions. Ideal for building microservices, asynchronous communication, and durable event-driven architectures.

Azure Service Bus Python Messaging Client

azure-servicebus-py

sickn33/antigravity-awesome-skills

This comprehensive SDK provides a robust Python interface to interact with Azure Service Bus. It enables developers to implement reliable, scalable enterprise messaging patterns, including point-to-point queues, publish/subscribe topics, and session-based communication. Use it for building resilient, decoupled microservices and distributed cloud architectures.

Azure Service Bus Messaging with TypeScript

azure-servicebus-ts

sickn33/antigravity-awesome-skills

A comprehensive guide on using the Azure Service Bus SDK in TypeScript for enterprise messaging. It demonstrates core asynchronous patterns, including sending/receiving messages from queues, publishing to topics with subscriptions, managing message sessions, and handling advanced features like dead-lettering and scheduled messages. Essential for building robust, scalable, event-driven microservices.

Azure Queue Storage Python Client

azure-storage-queue-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for interacting with Azure Queue Storage. This tool enables reliable, asynchronous communication patterns by managing message queuing, task distribution, and data processing workflows. It supports core operations including sending, receiving, peeking, updating, and deleting messages, making it ideal for building resilient, decoupled backend systems on Azure.

Azure Storage Queue SDK for Messaging

azure-storage-queue-ts

sickn33/antigravity-awesome-skills

This SDK provides comprehensive JavaScript/TypeScript functionality for interacting with Azure Queue Storage. It allows developers to implement robust asynchronous message queue patterns, including sending, receiving, peeking, and deleting messages. It supports various authentication methods (DefaultAzureCredential, connection string, SAS token) for secure and scalable deployment in enterprise cloud applications.

Mastering Job Queues With BullMQ

bullmq-specialist

sickn33/antigravity-awesome-skills

A comprehensive guide to implementing reliable, scalable, and resilient background job processing in Node.js/TypeScript using BullMQ and Redis. Covers advanced patterns such as delayed jobs, repeatable scheduling, job dependencies (flows), rate limiting, robust error handling, and graceful worker shutdown, ensuring production-grade async execution.

Self-Learning Correction System for Claude

jeremylongshore/claude-code-plugins-plus-skills

A sophisticated, two-stage system designed to capture and internalize user corrections and learnings during ongoing conversations. It automatically detects patterns (e.g., "use X instead of Y") and queues them. Users can manually review and apply these learnings to a persistent knowledge base (CLAUDE.md), ensuring the AI continuously improves its knowledge and adherence to specific user context for future sessions.

Designing Clay Data Integration Architectures

clay-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

This guide outlines three robust architectural patterns (Direct, Standard, Queue-Based) for integrating and enriching data using the Clay SaaS platform. It helps users select the appropriate design—from simple, ad-hoc integrations to complex, enterprise-scale pipelines—by considering data volume, latency, and required automation level for optimal data flow.

Scaling High-Volume Data Processing Pipelines

clay-load-scale

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and code implementation for scaling data enrichment pipelines to handle high volumes (10K-100K+ leads monthly). It covers capacity planning, optimizing batch processing using queues (e.g., BullMQ/Redis), managing rate limits, and designing multi-table architectures for robust, large-scale data ingestion.

Implementing Fault-Tolerant Data Pipelines

clay-reliability-patterns

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to building resilient and fault-tolerant data enrichment pipelines. Learn to implement critical patterns like credit budget circuit breakers, Dead Letter Queues (DLQs) for failed records, and health monitoring to ensure stability and cost control when integrating with external services like Clay.

Cloud Tasks Queue Setup

cloud-tasks-queue-setup

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for setting up Cloud Tasks queues across GCP workloads, covering patterns, best practices, and vetted configs.

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