When should I use the Fan-Out pattern?

The Fan-Out pattern is best used when you have multiple independent components or tasks that can be performed simultaneously without depending on each other's output.

What are the different agent roles available in this skill?

The skill utilizes three primary roles: Leader (Opus) for coordination and decomposition, Senior Engineer (Sonnet) for architectural decisions, and Junior Engineer (Haiku) for fast execution of well-defined tasks.

How does the skill ensure the quality of code produced by sub-agents?

It implements a 'Monitor & Integrate' workflow with specific quality gates, checking that code meets specifications, follows project patterns, and passes all integration tests before acceptance.

Can this skill be used for simple debugging sessions?

For single-file changes, debugging, or quick fixes, the 'Stay Solo' protocol is recommended to avoid the overhead of spawning and managing additional agents.

Which models does the team-coordination skill use?

It leverages the Claude 3 model family: Opus for the Leader role, Sonnet for the Senior Engineer role, and Haiku for the Junior Engineer role to balance intelligence and speed.

Team Coordination & AI Orchestration

Name: Team Coordination & AI Orchestration
Author: duyet

byduyet

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コラボレーションツール

Spawns and manages a hierarchy of specialized AI agents to execute complex, multi-component development tasks in parallel.

概要

This skill transforms Claude into a project orchestrator capable of delegating tasks to a virtual team of specialized agents, including Leaders, Senior Engineers, and Junior Engineers. By utilizing advanced orchestration patterns like Fan-Out, Pipeline, and Map-Reduce, it breaks down complex requirements into manageable units, executes them simultaneously to accelerate development, and integrates the results through rigorous quality gates. It is an essential tool for large-scale feature implementation, architectural refactoring, and any scenario where parallel processing can optimize the software development lifecycle.

主な機能

Automated task decomposition and requirement analysis
Advanced orchestration patterns including Fan-Out and Map-Reduce
Hierarchical agent spawning (Leader, Senior, and Junior roles)
Context-aware delegation with defined scopes and boundaries
2 GitHub stars
Integrated quality gates for automated verification of agent output

ユースケース

Building multi-component features where independent parts can be developed simultaneously.
Executing large-scale refactors using a sequential Pipeline or Map-Reduce strategy.
Accelerating project timelines by delegating testing and documentation to specialized sub-agents.

概要

主な機能

Automated task decomposition and requirement analysis
Advanced orchestration patterns including Fan-Out and Map-Reduce
Hierarchical agent spawning (Leader, Senior, and Junior roles)
Context-aware delegation with defined scopes and boundaries
2 GitHub stars
Integrated quality gates for automated verification of agent output

ユースケース

Building multi-component features where independent parts can be developed simultaneously.
Executing large-scale refactors using a sequential Pipeline or Map-Reduce strategy.
Accelerating project timelines by delegating testing and documentation to specialized sub-agents.