swarm

Orchestrate Architect, QA, and Implementer agents for parallel software development.

11|1|Updated Aug 6, 2025
One-click install
npx skills add https://github.com/thkt/dotclaude --skill swarm-thkt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swarm
Source: https://github.com/thkt/dotclaude/tree/main/.ja/skills/swarm
Command: npx skills add https://github.com/thkt/dotclaude --skill swarm-thkt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill tackles large-scale, parallel software development tasks by orchestrating a swarm of specialized AI agents, enabling efficient collaboration on complex projects.

Core Features & Use Cases

  • Large-Scale Implementation: Handles projects involving 5 or more files, multi-domain requirements, or significant design decisions.
  • Parallel Development: Divides tasks among multiple agents (Architect, QA, Implementers) for concurrent execution.
  • Team Collaboration: Facilitates peer-to-peer communication and structured handoffs between agents.
  • Use Case: Developing a new microservice with multiple interconnected modules, requiring architectural design, parallel coding, and rigorous quality assurance.

Quick Start

Initiate a large-scale implementation for a new user authentication module by describing its requirements.

Frequently Asked Questions about swarm

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

FAQPage Schema
How do I manage large-scale parallel software implementation across multiple agents?

Large-scale parallel software implementation is managed by orchestrating a multi-agent swarm that coordinates Architect, QA, and Implementer agents through structured communication protocols. It divides tasks for concurrent execution and manages the team lifecycle.

When do I need multi-agent collaboration for software development?

Multi-agent collaboration is needed for software development when handling projects exceeding five files, multi-domain requirements, or complex design decisions that require parallel coding and rigorous quality assurance.

How to coordinate Architect, QA, and Implementer agents for parallel development?

To coordinate these specialized agents for parallel development, you define structured contracts and communication protocols. The swarm orchestrator manages task assignment, peer-to-peer communication, and integration to ensure efficient parallel execution.

Can I use a multi-agent swarm for developing a new microservice with interconnected modules?

Yes, you can use a multi-agent swarm for developing a new microservice with interconnected modules. It facilitates architectural design, parallel coding of separate modules, and rigorous quality assurance through defined handoffs.

What is the best way to ensure quality gates during multi-agent teamwork?

The best way to ensure quality gates during multi-agent teamwork is to enforce structured handoffs and defined contracts between agents. The QA agent verifies integration and parallel development outputs against established protocols.

Does multi-agent swarm orchestration work without external dependencies?

Yes, multi-agent swarm orchestration operates without external dependencies. It relies entirely on internal structured communication protocols and defined contracts to manage the team lifecycle and task integration.