chat_with_agent

Route user queries to the most suitable agent using built-in tools.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mrwyx12369/TeamPaw --skill chat-with-agent-mrwyx12369
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chat_with_agent
Source: https://github.com/mrwyx12369/TeamPaw/tree/main/src/teampaw/agents/skills/chat_with_agent-en
Command: npx skills add https://github.com/mrwyx12369/TeamPaw --skill chat-with-agent-mrwyx12369

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Route user queries to the appropriate agent to obtain expert input, enabling seamless collaboration when specialized guidance is needed.

Core Features & Use Cases

  • Agent routing: Identify and engage the most suitable agent for a given task or question.
  • Session-aware collaboration: Maintain context across multiple exchanges using session_id for ongoing conversations.
  • Workflow integration: Leverage built-in tools like list_agents(), chat_with_agent(...), submit_to_agent(...), and check_agent_task(...) to manage multi-agent tasks.

Quick Start

Initiate a conversation with the most suitable agent by first listing available agents and then using chat_with_agent to start the dialogue.

Frequently Asked Questions about chat_with_agent

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

FAQPage Schema
How do I route user queries to another agent for a second opinion?

Route user queries by calling list_agents() to identify the most suitable expert, then chat_with_agent() to engage it for decision support. This enables seamless multi-agent collaboration when specialized guidance is needed.

Can I continue an existing multi-agent session using a session_id?

Yes, you can continue an existing multi-agent session by passing a session_id to chat_with_agent(). This maintains context across multiple exchanges for ongoing conversations and workflow integration without losing prior dialogue state.

What built-in tools are used for multi-agent collaboration and task management?

Multi-agent collaboration uses list_agents(), chat_with_agent(), submit_to_agent(), and check_agent_task(). These built-in tools manage agent routing, query submission, and asynchronous task checking to complete specialized tasks.

When do I need to use agent routing instead of handling a task directly?

Use agent routing when a task requires expert input, second opinions, plan reviews, or decision support from another agent. It connects your query to the most suitable agent when your current context lacks the specialized capabilities needed.

Does workflow integration support asynchronous task submission to agents?

Yes, workflow integration supports asynchronous task submission via submit_to_agent() and status monitoring via check_agent_task(). This allows you to delegate tasks to agents and retrieve results later without blocking the current session.