How do I monitor the progress of parallel agents?

You can use the native Claude Code TaskList command to view the real-time status of every story, including its current SDLC stage and any pending blockers.

How does Swarm maintain code quality?

It enforces a mandatory SDLC pipeline for every agent (DESIGN → TEST → DEV → VERIFY → DOCS) and includes an automated build-fix loop that prevents completion until all tests pass.

Which AI models are recommended for Swarm?

The 'smart' model tier (such as Claude 3.5 Opus) is highly recommended because orchestration and parallel task management require complex reasoning capabilities.

What is Swarm mode in Claude Code?

Swarm mode is a specialized workflow that breaks down a complex task into independent 'stories' and assigns each one to a separate, parallel AI agent.

Does Swarm support Git isolation?

Yes, Swarm requires Git worktrees for every story agent, ensuring that parallel changes happen in isolated environments before being merged back together.

Swarm Multi-Agent Orchestrator

Name: Swarm Multi-Agent Orchestrator
Author: jmylchreest

byjmylchreest

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협업 도구

Orchestrates parallel AI agents to execute complete, isolated SDLC pipelines for complex feature development.

The Swarm skill transforms Claude Code into a high-throughput project manager capable of decomposing large tasks into independent stories. It spawns specialized sub-agents to work in parallel, each operating within its own isolated Git worktree to prevent context pollution. Every story follows a rigorous, non-negotiable 5-stage pipeline—Design, Test, Develop, Verify, and Document—ensuring that parallel contributions remain high-quality and consistent. With built-in build-fix loops and centralized task monitoring, Swarm is the ultimate tool for scaling AI-driven development across complex codebases.

주요 기능

01Automated build-fix loops that retry verification until passing

02Isolated Git worktree management for conflict-free development

034 GitHub stars

04Mandatory 5-stage SDLC pipeline (Design, Test, Dev, Verify, Docs)

05Parallel multi-agent execution for simultaneous story development

06Centralized orchestration with native TaskList monitoring and merging

사용 사례

01Building multiple independent features for a new module simultaneously

02Executing large-scale refactors across different parts of a codebase in parallel

03Accelerating project timelines by distributing story points across autonomous agents

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jmylchreest/aide swarm

For use in Claude.ai and ChatGPT

Download Skill