meshes

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.