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swarm-orchestration

Orchestrate multi-agent systems with a Technical Director model and persist session data to Notion.

5|Updated Feb 2, 2026
Search Tags:#task management#multi-agent#orchestration#persistence#team collaboration#notion integration
One-click install
npx skills add https://github.com/dmaynor/dmaynor-skills-marketplace --skill swarm-orchestration-dmaynor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: swarm-orchestration
Source: https://github.com/dmaynor/dmaynor-skills-marketplace/tree/main/plugins/swarm-orchestration/skills/swarm-orchestration
Command: npx skills add https://github.com/dmaynor/dmaynor-skills-marketplace --skill swarm-orchestration-dmaynor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill tackles complex, multi-faceted tasks by orchestrating specialized AI agents, mimicking a human team structure to achieve sophisticated outcomes that would be difficult for a single agent.

Core Features & Use Cases

  • Multi-Agent Coordination: Manages a team of role-based agents (Architect, Programmer, QA, etc.) led by a Technical Director (TD).
  • Task Decomposition & Delegation: Breaks down user requests into discrete tasks and assigns them to the most suitable agents.
  • Shared Communication Channel: Facilitates seamless communication and collaboration between agents.
  • Comprehensive Persistence: Saves all project data, including conversation, thinking, agent logs, artifacts, and outputs, to Notion for continuity and auditability.
  • Use Case: Building a new software feature from initial design through implementation, testing, and security review, with each stage handled by a dedicated specialist agent.

Quick Start

Use the swarm-orchestration skill to start a new project named 'auth-system' with the goal of building a secure authentication module.

Frequently Asked Questions about swarm-orchestration

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

FAQPage Schema
How do I coordinate multi-agent teams for complex software tasks?▼

Multi-agent coordination is managed using a Technical Director model that delegates decomposed tasks to specialized roles like Architect, Programmer, and QA. Agents collaborate through a shared communication channel to execute parallel pipelines and comprehensive problem-solving.

Can I use Notion for multi-agent session persistence and logging?▼

Notion integration is supported for comprehensive session persistence, automatically saving project data, agent logs, thinking processes, and generated artifacts to ensure continuity and auditability across multi-agent development workflows.

How does multi-agent task decomposition and delegation work?▼

Task decomposition breaks user requests into discrete tasks assigned to specialized agents. The Technical Director delegates responsibilities based on agent roles, enabling parallel specialist work, coordinated pipelines, and multi-perspective reviews for security assessments or software development.

Do I need Python3 to run multi-agent orchestration scripts?▼

Python3 is required as a dependency to run the orchestration scripts. The advanced implementation uses Python3 to manage the shared communication channel, specialized role agents, and Notion data persistence.

What is the best way to structure a multi-agent software development pipeline?▼

The best way to structure a multi-agent pipeline is using a role-based team led by a Technical Director. This approach assigns dedicated specialist agents to distinct stages like initial design, implementation, testing, and security review for sophisticated outcomes.

Why use a Technical Director model for multi-agent AI orchestration?▼

A Technical Director model mimics a human team structure to achieve sophisticated outcomes difficult for a single agent. It manages specialized roles, shared communication, and multi-perspective reviews, making it ideal for complex, multi-faceted task execution.

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