distributed-systems

Name: distributed-systems
Availability: InStock
Author: drdave

Build resilient distributed communication with NATS and durable Temporal workflows.

Updated Jan 12, 2026

Search Tags:#distributed-systems #temporal #workflow-orchestration #nats #jetstream #robot-messaging #ros2-integration

Ready to run

npx skills add https://github.com/drdave-flexnetos/ripple-env --skill distributed-systems-drdave-flexnetos

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: distributed-systems
Source: https://github.com/drdave-flexnetos/ripple-env/tree/main/.claude/skills/distributed-systems
Command: npx skills add https://github.com/drdave-flexnetos/ripple-env --skill distributed-systems-drdave-flexnetos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Distributed robotics and microservices often need dependable communication and long-running task execution across machines that may fail or restart.

Core Features & Use Cases

NATS messaging with (optional) JetStream: Enables publish/subscribe and request/reply patterns for multi-robot status, commands, and telemetry, including persistence and replay for important events.
Temporal workflow orchestration: Provides durable, recoverable workflows for multi-step robotics tasks that must continue after failures.
Integration patterns: Bridges ROS2 topics to NATS subjects so robot software can participate in event-driven microservices architectures.

Quick Start

Start a local NATS server and send a test status message to a topic like robot.status.

Frequently Asked Questions about distributed-systems

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build durable workflows for multi-robot coordination tasks that survive failures?▼

Durable workflows for multi-robot coordination use Temporal orchestration to provide persistent, recoverable execution for long-running tasks. This ensures multi-step robotics operations automatically continue after machine failures or restarts.

Can I bridge ROS2 topics to NATS subjects for event-driven microservices communication?▼

Bridging ROS2 topics to NATS subjects enables robot software to participate in event-driven microservices architectures. This integration pattern connects robotic telemetry and commands into broader distributed systems.

Does NATS JetStream support message persistence and replay for robotics telemetry data?▼

NATS JetStream supports message persistence and replay for robotics telemetry data. It enables publish/subscribe and request/reply patterns, storing important events so multi-robot status and commands can be recovered after disruptions.

What is the best way to orchestrate long-running tasks across distributed machines that may restart?▼

Orchestrating long-running tasks across distributed machines requires durable workflow engines like Temporal combined with resilient messaging via NATS. This approach provides dependable execution and state recovery for multi-step processes.

Do I need to operate a local NATS server to start building resilient distributed communication?▼

Operating a local NATS server is required to start building resilient distributed communication. You can initially send a test status message to a subject like robot.status to verify your publish and subscribe patterns.

When should I not use workflow orchestration for distributed microservices workloads?▼

Workflow orchestration for distributed microservices workloads should be avoided when tasks are short-lived and stateless. It is specifically designed for long-running, multi-step operations that require persistence and recovery across machines.