agentex

Build and debug Agentex agents with sync or async ACP.

186|15|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/kid-sid/claude-spellbook --skill agentex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agentex
Source: https://github.com/kid-sid/claude-spellbook/tree/main/skills/agentex
Command: npx skills add https://github.com/kid-sid/claude-spellbook --skill agentex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agentex provides a structured platform to build, wire, and debug autonomous agents, reducing setup friction and runtime issues.

Core Features & Use Cases

  • Choose between Sync ACP, Async ACP, and Async ACP + Temporal for different agent lifecycles.
  • Wire the core components (acp.py, manifest.yaml, and run_worker.py) and integrate with adk.messages and adk.state for stateful tasks.
  • Debug registration, environment configuration, and Windows-specific setup issues to keep agents running reliably in diverse environments.

Quick Start

Configure a new Agentex agent by selecting an ACP type, wiring acp.py and manifest.yaml, and verifying Windows setup steps.

Frequently Asked Questions about agentex

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

FAQPage Schema
How do I wire acp.py and manifest.yaml when building autonomous agents?

To wire acp.py and manifest.yaml for building autonomous agents, you select an ACP type, connect the core component files, and integrate with adk.messages and adk.state to enable stateful task execution.

What is the difference between Sync ACP and Async ACP for agent lifecycles?

The difference between Sync ACP and Async ACP lies in agent lifecycles: Sync ACP handles synchronous execution, while Async ACP manages asynchronous tasks, with an additional option to integrate Temporal workflows for robust production behavior.

How do I debug agent registration and environment configuration issues?

To debug agent registration and environment configuration issues, you verify the acp.py wiring, check manifest.yaml settings, and resolve Windows-specific setup tasks to keep agents running reliably across diverse environments.

Does Agentex work with Temporal workflows for backend agent orchestration?

Yes, Agentex works with Temporal workflows by using the Async ACP + Temporal configuration, enabling robust, production-ready backend agent orchestration and reliable stateful task execution.

Why does my autonomous agent fail during Windows-specific setup tasks?

Autonomous agents fail during Windows-specific setup tasks due to environment configuration mismatches, which you resolve by verifying registration steps and debugging the acp.py and manifest.yaml wiring for Windows compatibility.

How do I integrate adk.messages and adk.state for stateful agent tasks?

To integrate adk.messages and adk.state for stateful agent tasks, you wire them into acp.py during the ACP selection process, ensuring robust state management and message handling across the agent lifecycle.