team-orchestrator

Orchestrate AI agent teams with task distribution and dependency management.

2|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/daeha76/RianFriends --skill team-orchestrator-daeha76
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-orchestrator
Source: https://github.com/daeha76/RianFriends/tree/main/.claude/skills/team-orchestrator
Command: npx skills add https://github.com/daeha76/RianFriends --skill team-orchestrator-daeha76

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides the core engine for orchestrating AI agent teams, automating the complex process of team formation, task distribution, dependency management, and result aggregation for sophisticated development workflows.

Core Features & Use Cases

  • Dynamic Team Composition: Automatically determines optimal team size and roles (e.g., Frontend Dev, Backend Dev, QA) based on task scope (small, medium, large).
  • Intelligent Task Distribution: Manages file ownership, breaks down work into manageable tasks (5-6 per agent), and establishes dependencies between tasks using a graph.
  • Context Inheritance & Plan Approval: Ensures agents have necessary context and allows for a plan approval mode for high-risk tasks.
  • Error Recovery & Result Aggregation: Handles agent unresponsiveness, detects file conflicts, resolves deadlocks, and aggregates results into a standardized report.
  • Use Case: Automate the refactoring of a large software module by defining the scope, allowing the orchestrator to form a team of specialized agents, distribute the work, manage dependencies, and ensure all code changes are integrated and tested successfully.

Quick Start

Use the team-orchestrator skill to refactor the authentication module, requiring plan approval before implementation.

Frequently Asked Questions about team-orchestrator

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

FAQPage Schema
How do I automate task distribution for complex code refactoring across multiple agents?

Automating task distribution for code refactoring involves forming specialized AI agent teams, breaking down work into manageable tasks, and managing dependencies via a graph. The orchestrator handles file ownership separation and aggregates results into a standardized report.

What is AI agent team orchestration for software development workflows?

AI agent team orchestration is the process of defining team composition, dynamically assigning roles based on task scope, and distributing tasks with dependency management to complete complex software development workflows.

Does agent team orchestration support error recovery when a delegated task fails?

Agent team orchestration supports error recovery by handling unresponsiveness, detecting file conflicts, and resolving deadlocks. It ensures results are successfully integrated even when individual agents encounter issues during execution.

Can I require plan approval before an AI agent team modifies my codebase?

You can require plan approval before implementation for high-risk tasks. The orchestration engine ensures agents have necessary context and allows you to review the proposed plan before any code changes are applied.

How do I manage file ownership and prevent conflicts when multiple AI agents modify code?

Managing file ownership and preventing conflicts is handled by establishing strict file ownership separation among agents. The orchestrator breaks down work into 5-6 tasks per agent and detects conflicts during result aggregation.

Do I need to enable experimental features to use AI agent teams for task automation?

You need to enable the experimental agent teams feature to use this task automation. The orchestration engine relies on this capability to dynamically form teams and distribute complex development workflows.