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chat_with_agent

Communicate with multiple AI agents using list, chat, submit, and task-check functions.

3|1|Updated Apr 21, 2026
Search Tags:#collaboration#communication#agent#multi-agent#task delegation
One-click install
npx skills add https://github.com/yuexps/QwenPaw-FNOS --skill chat-with-agent-yuexps
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chat_with_agent
Source: https://github.com/yuexps/QwenPaw-FNOS/tree/main/app/server/src/qwenpaw/agents/skills/chat_with_agent-en
Command: npx skills add https://github.com/yuexps/QwenPaw-FNOS --skill chat-with-agent-yuexps

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill facilitates direct communication between the user and specialized AI agents, enabling efficient task delegation, consultation, and multi-agent collaboration.

Core Features & Use Cases

  • Agent Interaction: Initiate conversations with specific AI agents to obtain expert assistance or support.
  • Task Delegation: Request plans, reviews, or decisions from targeted agents to streamline workflows.
  • Use Case: When a user needs technical review, they can address the relevant agent directly to gather insights or solutions.

Quick Start

Use this skill to list available agents and chat with a chosen agent about a complex project task.

Frequently Asked Questions about chat_with_agent

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

FAQPage Schema
How do I delegate tasks to multiple AI agents for collaboration?▼

To delegate tasks to multiple AI agents for multi-agent collaboration, use structured functions like submit_to_agent() and check_agent_task() to manage interactions and asynchronous workflows across diverse scenarios.

What is the best way to initiate communication with a specialized AI agent?▼

Initiating communication with a specialized AI agent involves using the list_agents() function to identify available experts and the chat_with_agent() function to start a direct conversation for support or consultation.

Can I request technical reviews and expert consultations through AI agent communication?▼

Yes, AI agent communication supports requesting technical reviews and expert consultations by addressing targeted specialized agents directly to gather insights, solutions, or decisions for complex project tasks.

How does asynchronous task delegation work with AI agents?▼

Asynchronous task delegation with AI agents works by submitting requests via submit_to_agent() and subsequently using check_agent_task() to monitor status and retrieve results without blocking ongoing workflows.

Does multi-agent communication require any specific framework dependencies?▼

Multi-agent communication for task delegation operates without specific framework dependencies, providing a structured standalone way to interact with diverse specialized AI agents across various scenarios.

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