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Microservice Tracing Setup

distributed-tracing

sickn33/antigravity-awesome-skills

Guide for implementing Jaeger/Tempo distributed tracing across microservices, covering Kubernetes/Docker deployments plus OpenTelemetry instrumentation for Python, Node.js, and Go to visualize request flows and diagnose latency.

Documenso Template Signing

documenso-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Guides you through implementing Documenso’s template-based workflows to generate reusable documents, handle template-driven data, and offer direct signing links for quick recipient access.

Documenso Rate Limiting

documenso-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Guides implementing Documenso API rate limiting with exponential backoff, request queuing, and retry throttling so integrations recover from 429/503 responses while staying within fair use policies.

Implementing Error Tracking and Monitoring

error-debugging-error-trace

sickn33/antigravity-awesome-skills

A comprehensive guide for implementing robust error monitoring and observability solutions. This skill teaches how to set up end-to-end error tracking systems, configure meaningful alerts, implement structured logging, and utilize tracing to ensure teams can quickly pinpoint, diagnose, and resolve complex production issues, greatly enhancing system reliability.

Error Tracking and Observability Guide

error-diagnostics-error-trace

sickn33/antigravity-awesome-skills

This skill acts as an expert guide for implementing comprehensive error tracking and observability solutions. It provides best practices for setting up robust error monitoring systems, configuring intelligent alerts, implementing structured logging, and building real-time dashboards. Use it when aiming to quickly detect, analyze, and resolve complex production issues and improve system reliability.

Error Handler Middleware

error-handler-middleware

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for implementing error handler middleware in backend services, covering Node.js, Python, Go, microservices, databases, caching, messaging, and architecture best practices with production-ready code and validation.

Implement Robust Error Handling Patterns

error-handling-patterns

sickn33/antigravity-awesome-skills

This skill guides the implementation of robust and resilient error handling strategies across applications. It covers techniques like implementing retry mechanisms, circuit breakers, and managing asynchronous errors. Use this when designing fault-tolerant APIs, improving application reliability, and guiding debugging processes in production environments to ensure graceful failure.

Event Store Design

event-store-design

sickn33/antigravity-awesome-skills

Guide for designing, implementing, and scaling event stores in event-sourced systems, covering requirements, technology comparisons, PostgreSQL schemas, and Python persistence patterns.

Evernote Install Auth

evernote-install-auth

jeremylongshore/claude-code-plugins-plus-skills

Guides installing the Evernote SDK, setting environment variables, and implementing OAuth 1.0a flows for Node.js and Python apps integrating with the Evernote Cloud API, including connection verification.

Evernote Rate Limits

evernote-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Guides implementing Evernote API rate limit handling with retry/backoff, queuing, batch operations, and monitoring so integrations stay stable while troubleshooting throttling or quota issues.

Evernote Security Basics

evernote-security-basics

jeremylongshore/claude-code-plugins-plus-skills

Guides teams implementing Evernote integrations through credential management, OAuth hardening, encrypted token handling, CSRF-safe flows, and secure logging best practices for resilient apps.

Exa Architecture Variants

exa-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through choosing and implementing validated Exa deployment architectures—from direct search to cached semantic layers and RAG pipelines—so integrations scale from simple apps to high-query, AI-enhanced solutions.

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