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meshes

Design, test, and debug multi-agent AI workflows within the tx system.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Designing, testing, and debugging multi-agent AI workflows (meshes) can be incredibly complex, leading to brittle systems and difficult-to-diagnose issues. This Skill provides a comprehensive guide to building robust, observable, and composable agentic AI workflows within the tx system, ensuring your agents collaborate effectively and reliably.

Core Features & Use Cases

  • Mesh Architecture: Learn to design and configure multi-agent systems, defining agent roles, communication patterns, and entry/completion points.
  • Centralized Event Log: Understand the immutable, chronological event log for all agent-to-agent messages, providing a single source of truth and audit trail.
  • E2E Testing & Debugging: Master session-based validation, idle state detection, and troubleshooting techniques for multi-agent, iterative, and Human-In-The-Loop (HITL) workflows.
  • Use Case: Automate complex processes like multi-stage research (e.g., "research topic X, summarize findings, then draft a report"), code review with iterative feedback, or interactive data collection via AI-driven interviews, all orchestrated seamlessly.

Quick Start

To create a new mesh, ask me to "use the meshes skill to guide me through building a new mesh for [your specific multi-agent workflow]". I will then walk you through planning your mesh, creating agent configurations, and writing agent prompts.