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dt-worker

Process role-specific tasks for DyTopo worker agents via Redis and pi teams.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides the foundational capabilities and rules for DyTopo worker agents (Architect, Developer, Tester, Reviewer) to process tasks within the DyTopo multi-agent system.

Core Features & Use Cases

  • Role Specialization: Adapts to specific worker roles (Architect, Dev, Tester, Reviewer).
  • Structured Communication: Manages task input and output via Redis and the pi teams tool.
  • Use Case: When the DT-Manager assigns a task to the DT-Architect, this skill ensures the Architect understands its role, processes the instructions from Redis, performs its planning, and reports back in the required structured format.

Quick Start

Use the dt-worker skill to process your assigned task instructions from the provided Redis key.

Frequently Asked Questions about dt-worker

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

FAQPage Schema
How do I coordinate multi-agent task execution using Redis?▼

Multi-agent task execution via Redis is managed by worker agents that receive instructions, validate inputs, execute role-specific processing, and report structured results back through Redis and the pi teams tool.

Can I assign different roles like Architect and Developer to worker agents?▼

Yes, worker agents support role specialization for Architect, Developer, Tester, and Reviewer. Each role adapts to process assigned instructions and execute tasks according to its specific operational function.

What is the workflow for a worker agent processing instructions from Redis?▼

The worker agent workflow involves initialization, input validation, role-specific processing, and structured response generation. Agents retrieve task instructions from a Redis key and communicate results using the pi teams tool.

Does the DyTopo worker agent system require a specific communication format?▼

The DyTopo worker agent system requires structured communication. Agents must generate structured responses after role-specific processing, ensuring standardized results are communicated via Redis and the pi teams tool.

Why do my multi-agent workers fail to report results correctly?▼

Workers fail to report correctly if they bypass structured response generation rules. Proper initialization, input validation, and role-specific processing are required before communicating results via Redis and the pi teams tool.

When do I need a multi-agent worker for task execution instead of a single agent?▼

A multi-agent worker is needed when tasks require role specialization across Architect, Developer, Tester, and Reviewer functions, ensuring structured processing and coordinated communication through Redis for complex workflows.

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