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dt-manager

Orchestrate the DyTopo agent protocol for multi-agent software development tasks.

2|Updated Feb 12, 2026
Search Tags:#workflow automation#software development#agent orchestration#multi-agent systems#dytopo#semantic routing
One-click install
npx skills add https://github.com/dsidlo/DyTopo-Agents-4-AD --skill dt-manager
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dt-manager
Source: https://github.com/dsidlo/DyTopo-Agents-4-AD/tree/main/DyTopo%20Agent%20Instructions/pi/agents/skills/dytopo-skills/dt-manager
Command: npx skills add https://github.com/dsidlo/DyTopo-Agents-4-AD --skill dt-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the complex orchestration of multiple specialized AI agents (DyTopo protocol) to achieve sophisticated software development tasks, managing their interactions and ensuring progress.

Core Features & Use Cases

  • Agent Orchestration: Manages the lifecycle and communication of DT-Architect, DT-Developer, DT-Tester, and DT-Reviewer agents.
  • Workflow Automation: Executes a defined protocol for multi-agent task completion, including initialization, worker invocation, response parsing, semantic matching, and routing.
  • Use Case: Automate the entire process of understanding requirements, designing, coding, testing, and reviewing software features by coordinating specialized AI agents.

Quick Start

Use the dt-manager skill to initiate round zero of the DyTopo protocol for a new request.

Frequently Asked Questions about dt-manager

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

FAQPage Schema
How do I orchestrate multi-agent workflows for software development tasks?▼

Multi-agent workflow orchestration is automated by managing the DyTopo protocol, coordinating specialized DT-Architect, DT-Developer, DT-Tester, and DT-Reviewer agents through defined rounds to complete software development tasks.

What is semantic routing in multi-agent systems and how does it work here?▼

Semantic routing in this context matches agent responses to appropriate workflow paths using Python scripts. It parses worker responses during round processing to determine the next agent invocation in the DyTopo protocol.

Do I need Redis and Ollama to run multi-agent workflow automation?▼

Yes, local Redis and Ollama services are required dependencies for operation. Redis manages agent state and communication, while Ollama provides the underlying AI model execution for the agent protocol.

How do I start a new multi-agent software development round using the DyTopo protocol?▼

To start a new round, initiate round zero of the DyTopo protocol using the skill. This triggers initialization, worker invocation, response parsing, and semantic matching to automate requirements understanding, coding, and testing.

Can I use this DyTopo agent protocol for automating code review and testing workflows?▼

Yes, the protocol orchestrates specialized DT-Tester and DT-Reviewer agents to automate testing and code review workflows. It manages their lifecycle and communication alongside DT-Architect and DT-Developer agents to ensure progress.

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