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ms-agent-types

Implement Microsoft Agent Framework agent types with consistent templates.

1|Updated Jan 15, 2026
Search Tags:#patterns#prototype#workflow-orchestration#conversational-ai#a2a#agent-framework#microsoft-agent
One-click install
npx skills add https://github.com/pagerguild/guilde-lite --skill ms-agent-types
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ms-agent-types
Source: https://github.com/pagerguild/guilde-lite/tree/main/marketplace/plugins/microsoft-agents/skills/ms-agent-types
Command: npx skills add https://github.com/pagerguild/guilde-lite --skill ms-agent-types

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides standardized patterns and templates for implementing multiple agent types (ChatAgent, BaseAgent, WorkflowAgent, A2A) within the Microsoft Agent Framework to accelerate development and ensure consistency across agents and workflows.

Core Features & Use Cases

  • ChatAgent: design conversational agents with built-in memory, tool calls, and multi-turn dialogue.
  • WorkflowAgent: orchestrate multi-step tasks with automatic step sequencing and checkpointing.
  • A2A Agent: enable secure, delegated task execution between specialized agents via a discovery directory.
  • BaseAgent: offer low-level control for custom message handling and protocol adapters.
  • Use case: rapidly prototype and deploy agents for customer support, automation workflows, and agent orchestration.

Quick Start

Create a ChatAgent subclass with a simple system_prompt and run a minimal demo to observe a basic conversation.

Frequently Asked Questions about ms-agent-types

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

FAQPage Schema
How do I implement multiple agent types in the Microsoft Agent Framework consistently?▼

You can implement multiple Microsoft Agent Framework types consistently by using standardized patterns and templates for ChatAgent, BaseAgent, WorkflowAgent, and A2A Agent to accelerate development and ensure uniform agent lifecycle management.

What is the difference between ChatAgent and WorkflowAgent in conversational AI orchestration?▼

ChatAgent handles conversational agents with built-in memory, tool calls, and multi-turn dialogue, whereas WorkflowAgent orchestrates multi-step tasks with automatic step sequencing and checkpointing for automation workflows.

How do I enable secure cross-agent collaboration with A2A Agents?▼

You enable secure cross-agent collaboration using the A2A Agent template, which facilitates delegated task execution between specialized agents via a discovery directory and consistent protocol adapters.

When do I need BaseAgent for custom message handling instead of ChatAgent?▼

You need BaseAgent when you require low-level control for custom message handling and protocol adapters, rather than the built-in memory and multi-turn dialogue conversational features provided by ChatAgent.

Can I rapidly prototype customer support agents using Microsoft Agent Framework templates?▼

Yes, you can rapidly prototype and deploy agents for customer support, automation workflows, and agent orchestration by subclassing the provided ChatAgent, WorkflowAgent, and A2A templates.

Does the Microsoft Agent Framework support lifecycle hooks for workflow orchestration?▼

Yes, the Microsoft Agent Framework patterns cover agent type definitions and lifecycle hooks, allowing you to manage execution states across ChatAgent, BaseAgent, WorkflowAgent, and A2A implementations.

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