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agent

Configure autonomous AI agent execution, IPC, tools, and prompts.

5|2|Updated Feb 8, 2026
Search Tags:#prompt engineering#agent#configuration#LLM#IPC#tool management
One-click install
npx skills add https://github.com/project-ax/ax --skill agent-project-ax
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent
Source: https://github.com/project-ax/ax/tree/main/.claude/skills/ax/agent
Command: npx skills add https://github.com/project-ax/ax --skill agent-project-ax

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows for the modification and fine-tuning of the core AI agent's behavior, including its execution environment, communication protocols, and decision-making logic.

Core Features & Use Cases

  • Agent Configuration: Adjust runner settings, IPC communication, and tool integration.
  • Prompt Engineering: Modify how the agent constructs its system prompts and handles identity.
  • Tool Management: Add, filter, and manage the tools available to the agent.
  • Use Case: You need to ensure the agent uses a specific LLM proxy for all its calls and has access to a new custom tool for interacting with your internal systems.

Quick Start

Configure the agent to use the IPC LLM transport and load the 'developer-tools' skill.

Frequently Asked Questions about agent

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

FAQPage Schema
How do I configure an autonomous AI agent to use a specific LLM proxy for all its calls?▼

To configure an autonomous AI agent for a specific LLM proxy, you adjust the runner settings and IPC communication parameters. This ensures the agent routes all its operational calls through the designated proxy.

Can I dynamically filter the tool catalog available to my AI agent based on context?▼

Yes, you can dynamically filter the tool catalog available to your AI agent based on context. The agent supports dynamic tool filtering to manage which tools are accessible during specific operational scenarios.

How does prompt engineering work when modifying an AI agent's system prompts and identity loading?▼

Prompt engineering for an AI agent's system prompts involves modifying how the agent constructs its prompts and handles identity loading. This allows for personalized agent behavior tailored to specific operational requirements.

What is the best way to manage inter-process communication for a sandboxed AI agent execution environment?▼

The best way to manage inter-process communication for a sandboxed AI agent is by configuring the IPC transport settings. This controls how the agent communicates within its execution environment.

Do I need to load specific skills to allow the AI agent to interact with my internal systems?▼

You need to load specific custom tools to allow the AI agent to interact with your internal systems. Tool management features let you add and integrate new tools for internal system interaction.

Why does my AI agent's behavior change when I modify its execution environment parameters?▼

Your AI agent's behavior changes when modifying execution environment parameters because these settings directly control the agent's sandboxed execution and operational logic. Adjusting these parameters fine-tunes the core decision-making process.

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