agent-teams

Dispatch parallel agents for multi-agent workflows with file ownership rules.

1|Updated Mar 1, 2026

Search Tags:#code review #workflow automation #parallel execution #multi-agent #task decomposition #agent teams

Ready to run

npx skills add https://github.com/hjemmesidekongen/ai --skill agent-teams-hjemmesidekongen

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-teams
Source: https://github.com/hjemmesidekongen/ai/tree/main/plugins/kronen/skills/agent-teams
Command: npx skills add https://github.com/hjemmesidekongen/ai --skill agent-teams-hjemmesidekongen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex workflows by enabling multiple AI agents to work in parallel, significantly reducing execution time and improving efficiency for large tasks.

Core Features & Use Cases

Parallel Dispatch: Execute multiple agents concurrently for tasks like code review, debugging, or feature development.
Team Composition: Define specialized teams (e.g., Review, Debug, Feature) with specific roles and responsibilities.
File Ownership Management: Enforces a strict "one owner per file" rule to prevent conflicts during parallel modifications.
Use Case: Accelerate a feature development cycle by assigning different parts of the codebase to separate agents, coordinated by a lead agent, ensuring all components are integrated seamlessly.

Quick Start

Use the agent-teams skill to dispatch a review team for parallel code analysis.

Frequently Asked Questions about agent-teams

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

FAQPage Schema

How do I run parallel code review and debugging tasks with multiple AI agents?▼

Parallel code review and debugging tasks are executed by defining specialized agent teams and dispatching them concurrently. This multi-agent workflow assigns different codebase sections to separate agents, coordinated by a lead agent to ensure seamless integration.

What is multi-agent task decomposition for workflow automation?▼

Multi-agent task decomposition is the process of breaking down large workflows into specialized roles like review, debug, feature, and security teams. It enables parallel execution patterns to significantly reduce execution time and improve efficiency for complex tasks.

How do I prevent file conflicts during parallel multi-agent codebase modifications?▼

File conflicts during parallel execution are prevented by enforcing a strict one owner per file rule. This file ownership management ensures that only one designated agent modifies a specific file at any given time during coordinated task execution.

Does the Agent Teams API support concurrent execution for research and security tasks?▼

Yes, the experimental Agent Teams API supports advanced concurrent agent operations for research and security tasks. It facilitates team composition and manual parallel dispatch to execute multiple specialized agents concurrently.

What is the best way to compose specialized agent teams for feature development?▼

The best way to compose agent teams for feature development is to define specialized teams with specific roles and responsibilities. A lead agent coordinates separate agents assigned to different parts of the codebase to accelerate the development cycle.