Verified:GitHub

team-implement

Orchestrate parallel software development across AI agent teams with strict file ownership.

1|Updated Feb 22, 2026

Search Tags:#code generation #autonomous agents #software architecture #task coordination #parallel development #agent teams

Ready to run

npx skills add https://github.com/arugo11/sit-copilot --skill team-implement-arugo11

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: team-implement
Source: https://github.com/arugo11/sit-copilot/tree/main/.claude/skills/team-implement
Command: npx skills add https://github.com/arugo11/sit-copilot --skill team-implement-arugo11

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates complex software development tasks by orchestrating multiple AI agents (teammates) to work in parallel on different modules or layers of a project, significantly accelerating development time.

Core Features & Use Cases

Parallel Development: Spawns specialized AI teammates for distinct project modules or layers.
Autonomous Coordination: Manages task dependencies and facilitates communication between teammates.
Conflict Avoidance: Enforces strict file ownership to prevent simultaneous edits and merge conflicts.
Use Case: For a new feature, this Skill can assign the data modeling to one agent, the API endpoints to another, and the frontend components to a third, all working concurrently based on an approved project plan.

Quick Start

Run the team-implement skill to start parallel implementation based on the approved project plan.

Frequently Asked Questions about team-implement

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

FAQPage Schema

How do I coordinate parallel development across multiple AI agents without merge conflicts?▼

You can coordinate parallel development by orchestrating autonomous agent teams that enforce strict file ownership, preventing simultaneous edits and merge conflicts while teammates work on distinct modules concurrently.

What is autonomous agent team orchestration for software architecture tasks?▼

Autonomous agent team orchestration assigns distinct architectural layers to individual AI teammates, managing task dependencies and facilitating communication for accelerated development cycles based on an approved plan.

Do I need a pre-approved project plan to start parallel code generation with agent teams?▼

Yes, parallel code generation with agent teams requires a pre-approved project plan and architectural design documentation to properly assign modules and manage task dependencies.

How do I assign different project layers like data modeling and API endpoints to separate agents?▼

You assign project layers by spawning specialized AI teammates for distinct modules, dedicating one agent to data modeling, another to API endpoints, and a third to frontend components for concurrent execution.

What are the limitations of using autonomous agents for task coordination in software engineering?▼

Task coordination with autonomous agents requires strict file ownership to avoid conflicts and depends entirely on a pre-approved architectural design, meaning it cannot operate effectively without detailed upfront planning.

Can I use team-implement for concurrent software development without predefined architectural design?▼

No, you cannot use team-implement without architectural design documentation, as the Skill requires a pre-approved project plan to assign distinct modules and manage task dependencies effectively.