mesh-builder

Design TX V4 meshes and agent workflows with SDK-based workers and SQLite queues.

9|2|Updated Oct 30, 2025
One-click install
npx skills add https://github.com/eighteyes/tx --skill mesh-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mesh-builder
Source: https://github.com/eighteyes/tx/tree/main/.claude/skills/mesh-builder
Command: npx skills add https://github.com/eighteyes/tx --skill mesh-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive blueprint for building TX V4 meshes and agents, covering SDK-based worker architecture, prompt templates, message protocols, HITL workflows, and testing patterns to accelerate multi-agent development.

Core Features & Use Cases

  • TX V4 architecture overview: Understand how V4 differs from V3 and why it matters for scalable agents.
  • SDK-based workers: Learn how to spawn and stream results via Claude Agent SDK.
  • Mesh configuration & prompts: Define meshes and agent prompts, as well as routing and topology.
  • Message protocols & queues: Use the SQLite queue and message frontmatter conventions to coordinate agents.
  • HITL & testing patterns: Provided references to HITL, iterative, and multi-agent testing strategies.

Quick Start

Create a simple mesh using a minimal config and verify messages appear in .ai/tx/msgs/

Frequently Asked Questions about mesh-builder

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

FAQPage Schema
How do I design and build a TX V4 mesh for multi-agent workflows?

TX V4 meshes define agent topology, routing, and coordination using SDK-based workers, message protocols, and SQLite queues. Start by specifying worker architecture, routing logic (sequential, parallel, bidirectional, iterative), and agent prompts in your mesh config, then verify messages flow through the .ai/tx/msgs/ directory.

What's the difference between TX V4 and TX V3 architectures for agents?

TX V4 improves scalability and agent coordination through enhanced SDK integration, refined message protocols, and better HITL workflow support compared to V3. The V4 architecture enables more flexible routing scenarios and semantic model mapping across distributed workers.

How do I set up Claude Agent SDK workers with message queues?

Use the Claude Agent SDK to spawn workers that stream results into a SQLite-backed message queue. Configure message frontmatter schemas and routing rules to coordinate agent communication, then monitor .ai/tx/msgs/ to verify protocol compliance and message delivery.

Can I use slash command routing and semantic model mapping in agent workflows?

Yes. TX V4 meshes support slash command routing for user-driven agent selection and semantic model mapping to resolve the correct agent based on task context. Define routing logic in your mesh config alongside model resolution criteria.

What testing patterns should I use for multi-agent meshes?

TX V4 provides test-oriented patterns covering HITL workflows, iterative agent loops, and multi-agent coordination scenarios. Use message queue inspection, frontmatter validation, and routing verification to ensure agents collaborate as expected.

Do I need existing TX V3 experience to build with TX V4?

No, but understanding agent architecture and message-driven coordination helps. TX V4 is designed for both newcomers and V3 users; the mesh-builder Skill covers foundational concepts through advanced routing and testing strategies.