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X-McKay
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nexus

Develop and deploy Nexus conversational PI agents with Temporal orchestration.

3|Updated Dec 2, 2025
Search Tags:#agent#conversational ai#temporal#nexus#personal intelligence#strands sdk
One-click install
npx skills add https://github.com/X-McKay/kubani --skill nexus-x-mckay
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nexus
Source: https://github.com/X-McKay/kubani/tree/main/.claude/skills/nexus
Command: npx skills add https://github.com/X-McKay/kubani --skill nexus-x-mckay

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides the architecture, development, and deployment framework for the Nexus conversational personal intelligence (PI) agent, enabling a single agentic loop orchestrated by Temporal.

Core Features & Use Cases

  • Conversational PI Agent: Powers a user-initiated, conversational AI agent.
  • Temporal Orchestration: Manages agent turns and state across a long-running workflow.
  • Strands Agent SDK: Utilizes a specialized SDK for agent development.
  • Use Case: Develop and deploy a personalized AI assistant that can understand context, access tools, and maintain a coherent conversation over multiple turns.

Quick Start

Run the Nexus orchestrator worker locally by sourcing the environment variables and executing the worker script.

Frequently Asked Questions about nexus

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

FAQPage Schema
How do I orchestrate a conversational AI agent with Temporal?▼

To orchestrate a conversational AI agent with Temporal, this Skill provides the architecture for a Nexus PI agent worker that manages long-running agentic loops and state. It leverages the Strands Agent SDK to coordinate execution and maintain conversation context.

What is needed to deploy a Strands Agent SDK conversational assistant?▼

Deploying a Strands Agent SDK conversational assistant requires Temporal for workflow orchestration, FastAPI, Redis, and a vector database. These dependencies enable effective state management and persistent execution for the personal intelligence agent.

Can I use Temporal to manage state for a long-running conversational AI workflow?▼

Yes, Temporal manages state for a long-running conversational AI workflow by orchestrating agent turns across extended sessions. The architecture supports single agentic loops with integrated tools for core operations, memory, and web searching.

How do I run a Nexus personal intelligence agent locally?▼

You run a Nexus personal intelligence agent locally by sourcing the required environment variables and executing the worker script. This starts the Temporal orchestrator worker to process the agentic loop and handle user-initiated conversations.

Does this conversational agent architecture support web searching and memory tools?▼

Yes, this conversational agent architecture supports web searching and memory tools within a single agentic loop. The Strands Agent SDK implementation integrates these tools to facilitate core operations and context retention.

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