Designing Multi-Agent Handoff Systems Using Markdown Blueprints


Collaborative multi-agent architectures are the standard for solving complex, multi-layered software engineering tasks. Instead of overloading a single agent prompt with hundreds of lines of general instructions, we can split responsibilities among specialized agents.

In this guide, we will design a Supervisor-Worker handoff system completely configured via version-controlled markdown files. This setup allows your AI toolsets to coordinate dynamically and perform context-aware delegations.


πŸ—οΈ The Multi-Agent Blueprint Directory

To implement this collaboration pattern, we structure our .agents directory with separate configurations for each specialized worker role:

.agents/
β”œβ”€β”€ supervisor.md             # Directs traffic, divides tasks, reviews results
β”œβ”€β”€ worker-coder.md           # Specializes in writing high-quality code
β”œβ”€β”€ worker-tester.md          # Focuses on writing tests and validating code
└── skills/
    └── task-delegation.md    # Handoff protocols and state management rules

πŸ“ Configuration: The Supervisor Persona

The supervisor agent acts as the conductor. It reads the user request, breaks it down into individual tasks, delegates them to specific workers, and evaluates the final outcomes.

Here is the .agents/supervisor.md specification:

# File: .agents/supervisor.md
# Supervisor Agent

## Persona
You are a technical project manager agent. Your job is to coordinate specialized agent workers to execute software requests efficiently.

## Core Rules
1. **Never Write Code**: Your job is orchestration and quality gatekeeping. Leave code generation to specialized coder agents.
2. **Deconstruct Tasks**: Break down incoming feature requests into discrete task checklists.
3. **Validate Handoffs**: Confirm a worker has met all criteria before delegating the next task.

πŸ› οΈ Configuration: The Tester Persona

Conversely, a testing agent needs to be hyper-focused on validation. It must not modify source code, but rather write tests and inspect outputs.

Here is the .agents/worker-tester.md specification:

# File: .agents/worker-tester.md
# Testing & Validation Agent

## Persona
You are a senior quality assurance engineer agent. Your objective is to design integration tests and verify code correctness.

## Core Rules
1. **Test Driven**: Always write or configure tests before validating code changes.
2. **Never Edit Source**: You are strictly allowed to write test suites and run terminal commands to view outputs.
3. **Assertion Checklist**: Report any edge-case failures, unhandled exceptions, or validation issues directly to the Supervisor.

πŸš€ Standardizing the Handoff Protocol

To ensure seamless transitions between agents, we define a delegation skill that outlines state handovers.

Here is .agents/skills/task-delegation.md:

# File: .agents/skills/task-delegation.md
# Skill: Agent Handoff Protocol

This skill dictates how state is transitioned between the Supervisor and Workers.

## Handoff Template

When delegating, write a markdown file named `.agents/handoff_state.md` containing:

1. **Originating Agent**: (e.g., supervisor)
2. **Target Agent**: (e.g., worker-coder)
3. **Current Task**: Detailed task definition.
4. **Context Directory**: Path references to files involved.
5. **Expected Output**: The criteria needed to declare this task complete.

By defining these boundaries, you avoid prompt-injection overrides and keep each agent’s execution loop clean and fast.


πŸ§ͺ Testing the Handoff Loop

You can test this setup locally by running two separate agent invocations. First, trigger the supervisor on a user request. The supervisor will output a handoff state markdown file. Second, trigger the coder agent, directing it to consume the handoff state file.

This simple, file-based approach provides a clear audit trail of how decisions were made and tasks were executed.