agent-organizer

Organize multi-agent teams with task decomposition and orchestration workflows.

68|6|Updated Apr 16, 2020
One-click install
npx skills add https://github.com/zenobi-us/dotfiles --skill agent-organizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-organizer
Source: https://github.com/zenobi-us/dotfiles/tree/main/ai/files/skills/experts/meta-orchestration/agent-organizer
Command: npx skills add https://github.com/zenobi-us/dotfiles --skill agent-organizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill optimizes multi-agent collaboration by selecting agents, assigning roles, and coordinating work to maximize throughput and outcomes.

Core Features & Use Cases

  • Agent capability mapping and task decomposition
  • Team assembly and role assignment
  • Coordination rules, communication setup, and monitoring
  • Dynamic reallocation and backup planning

Quick Start

Quick Start: Assemble an optimal agent team for a given task and outline the coordination protocol.

Frequently Asked Questions about agent-organizer

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

FAQPage Schema
How do I organize and coordinate multiple agents to work together on complex tasks?

Multi-agent coordination organizes specialized agents into teams, assigning roles and decomposing work across sequential, parallel, and event-driven patterns. This Skill maps agent capabilities to task requirements, manages dependencies, and monitors execution to optimize throughput and resource use across your team.

What's the best way to assign tasks to different agents based on their capabilities?

Capability-based agent selection matches task requirements to agent strengths through structured capability mapping. The Skill evaluates available agents, assigns roles aligned with their expertise, and routes work to maximize performance while balancing load across your registry.

How do I handle task dependencies and coordinate work across agent teams?

Dependency management tracks task relationships and enforces sequencing rules within orchestration patterns like pipelines and map-reduce workflows. Checkpoints and failure recovery ensure teams progress safely, while communication protocols keep agents synchronized and aligned on execution status.

Can I monitor performance and track costs across a multi-agent workflow?

Continuous monitoring tracks task execution, agent utilization, and cost metrics across your workflow in real time. The Skill provides visibility into throughput, bottlenecks, and resource consumption, enabling dynamic reallocation and optimization decisions.

What happens if an agent fails during task execution?

Failure recovery mechanisms activate backup agents and rebalance work to maintain continuity. Dynamic reallocation reassigns tasks to available agents, while checkpoints allow resumption from the last stable state rather than restarting from scratch.

How do I set up communication and coordination rules between agents?

Coordination rules define interaction patterns, communication channels, and role responsibilities within your team. The Skill establishes these protocols during team assembly so agents understand execution order, data flow, and decision-making authority.