When should I use nested chats instead of standard group chats?

Use nested chats when you want to package a specific, repeatable multi-step process into a single agent 'black box' so the caller doesn't need to manage the individual steps.

Can I use asynchronous calls with this pattern?

Yes, this skill specifically implements the a_run and process pattern, which is the recommended approach for modern, efficient asynchronous AG2 workflows.

How do agents pass information in a nested pipeline?

Information is passed using the 'summary_method' parameter. Setting it to 'last_msg' ensures the output of one agent is used as the context or input for the next agent in the queue.

What is a nested chat in the AG2 framework?

A nested chat allows you to define a sequence of agent interactions that are triggered automatically when a specific agent receives a message, making a multi-step pipeline appear as a single interaction.

Nested Agent Pipelines

Name: Nested Agent Pipelines
Author: ag2ai

byag2ai

•

Data Science & ML

Encapsulates multi-agent processing sequences into a single coordinator agent for streamlined autonomous workflows.

The Nested Agent Pipelines skill allows you to build sophisticated AG2 (formerly AutoGen) workflows where complex multi-step processes are hidden behind a single agent interface. By utilizing the nested chat pattern, you can package sequences such as research, drafting, and editing into one agent that runs the entire pipeline automatically when triggered. This abstraction simplifies the interaction model for users while enabling powerful, sequential handoffs and state management between specialized agents internally.

Key Features

01Encapsulated workflow logic for cleaner agent interfaces

02Asynchronous execution support using a_run and process patterns

03Contextual data passing between stages with summary methods

042 GitHub stars

05Automated pipeline triggering based on sender identity

06Sequential multi-agent orchestration via register_nested_chats

Use Cases

01Hub-and-spoke architectures where a coordinator consults hidden specialists

02Content creation pipelines (Research -> Draft -> Review -> Polish)

03Invisible multi-step reasoning chains for complex problem solving

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ag2ai/ag2-claude-plugins nested-chat

For use in Claude.ai and ChatGPT

Key Features

01Encapsulated workflow logic for cleaner agent interfaces

02Asynchronous execution support using a_run and process patterns

03Contextual data passing between stages with summary methods

042 GitHub stars

05Automated pipeline triggering based on sender identity

06Sequential multi-agent orchestration via register_nested_chats

Use Cases

01Hub-and-spoke architectures where a coordinator consults hidden specialists

02Content creation pipelines (Research -> Draft -> Review -> Polish)

03Invisible multi-step reasoning chains for complex problem solving

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ag2ai/ag2-claude-plugins nested-chat

For use in Claude.ai and ChatGPT