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MaintainX Observability Setup

maintainx-observability

jeremylongshore/claude-code-plugins-plus-skills

Sets up comprehensive observability for MaintainX API integrations, covering metrics, structured logging, distributed tracing, health checks, dashboards, and alerts so teams can monitor performance and resolve issues quickly.

MaintainX Reference Architecture

maintainx-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides production-grade architecture patterns for MaintainX integrations, guiding teams through event-driven, multi-tenant, microservices, and CQRS designs when planning enterprise-scale deployments or syncing distributed systems.

Microservices Architecture Advisor

microservices-architect

Jeffallan/claude-skills

Guides distributed system architecture by decomposing monoliths, defining bounded contexts, selecting communication protocols, and recommending resilience, observability, and deployment strategies for cloud-native microservices.

Microservices Design Patterns

microservices-design

rohitg00/awesome-claude-code-toolkit

Guides designing robust microservices with service boundaries, event-driven communication, saga orchestration, API gateways, health checks, and anti-pattern awareness for resilient distributed systems.

Mastering Microservices Architecture Patterns

microservices-patterns

sickn33/antigravity-awesome-skills

This skill provides a comprehensive guide to mastering microservices architecture patterns. It covers critical areas such as service boundary identification, inter-service communication protocols, distributed data management, and implementing resilience patterns. Use this when decomposing large monolithic applications or designing complex, highly available distributed systems.

Observability Monitoring Expert

monitoring-expert

Jeffallan/claude-skills

Delivers end-to-end monitoring setups—structured logging, Prometheus/Grafana dashboards, alerting rules, distributed tracing, and load/profile testing—so teams can observe services, debug production issues, and plan capacity.

Distributed NoSQL Design Patterns

sickn33/antigravity-awesome-skills

Delivers expert mental models and practical patterns for Cassandra, DynamoDB, and similar wide-column/key-value stores, guiding query-first modeling, single-table design, partition strategy, and duplication trade-offs for scalable systems.

OSS-Fuzz Continuous Fuzzing

trailofbits/skills

OSS-Fuzz gives open-source teams free distributed infrastructure for continuous fuzz testing, letting you build Docker images, compile sanitizing fuzzers, run harnesses, and review coverage/bugs through the helper.py CLI instead of hosting your own servers.

PyTorch FSDP2 Training Flow

Orchestra-Research/AI-Research-SKILLs

Guides adding PyTorch FSDP2’s fully_shard integration to training loops, covering correct distributed init, bottom-up sharding, mixed precision/offload policies, DTensor-aware optimizers, and distributed checkpointing so oversized models or DeviceMesh sharding goals work reliably.

Lightning Training Suite

pytorch-lightning

Orchestra-Research/AI-Research-SKILLs

High-level PyTorch Lightning streamlines training loops with automatic distributed support (DDP/FSDP/DeepSpeed), callbacks, checkpointing, logging, and device management so you can scale from a laptop to multi-node clusters without boilerplate.

Redis Patterns Playbook

rohitg00/awesome-claude-code-toolkit

Provides reusable Redis patterns for caching, rate limiting, pub/sub, streams, Lua scripts, and distributed locking to build scalable, resilient data services.

Chaos Resilience Toolkit

running-chaos-tests

jeremylongshore/claude-code-plugins-plus-skills

Run controlled chaos experiments to validate resilience, fault tolerance, and recovery of distributed services by injecting latency, outages, and resource exhaustion while monitoring metrics and rollback safeguards.

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