NEW Browse AI tools across categories — updated daily. See what's new →

Multi Agent Architecture Patterns

Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation

AuthorNeoLabHQ
Version1.0.0
LicenseMIT
Token count~625
UpdatedJun 5, 2026

Install

Quick install

via npx skills · works with 57+ agents
npx skills add https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/sadd/skills/multi-agent-patterns
Or pick agent:
npx skills add NeoLabHQ/context-engineering-kit --skill "Multi-Agent Architecture Patterns" --agent claude-code
npx skills add NeoLabHQ/context-engineering-kit --skill "Multi-Agent Architecture Patterns" --agent cursor
npx skills add NeoLabHQ/context-engineering-kit --skill "Multi-Agent Architecture Patterns" --agent codex
npx skills add NeoLabHQ/context-engineering-kit --skill "Multi-Agent Architecture Patterns" --agent opencode
npx skills add NeoLabHQ/context-engineering-kit --skill "Multi-Agent Architecture Patterns" --agent github-copilot
npx skills add NeoLabHQ/context-engineering-kit --skill "Multi-Agent Architecture Patterns" --agent windsurf
More install options

Shorthand — useful for multi-skill repos:

npx skills add NeoLabHQ/context-engineering-kit --skill "Multi-Agent Architecture Patterns"

Manual — clone the repo and drop the folder into your agent's skills directory:

git clone https://github.com/NeoLabHQ/context-engineering-kit.git
cp -r context-engineering-kit/plugins/sadd/skills/multi-agent-patterns ~/.claude/skills/
How to use: Once installed, ask your agent to "use the Multi-Agent Architecture Patterns skill" or describe what you want (e.g. "Reference guide for multi-agent architecture patterns including Supervisor/Orche"). Requires Node.js 18+.

Multi-Agent Architecture Patterns

Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation

What is it?
Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation Built for use cases involving multi-agent, architecture-patterns, supervisor, swarm, context-isolation.

How to use it?

Install this skill in your Claude environment to enhance multi-agent architecture patterns capabilities. Once installed, Claude will automatically apply the skill's guidelines when relevant tasks are detected. You can also explicitly invoke it by referencing its name in your prompts.

The full source and documentation is available on GitHub.

Key Features

  • Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation
  • Seamless integration with Claude's development workflow
  • Comprehensive guidelines and best practices for multi-agent architecture patternsView on GitHub

GitHub Stats

StarsForksLast UpdateAuthorNeoLabHQLicenseGPL-3.0Version1.0.0

Categories

AI & MLDeveloper Tools

Tags

multi-agentarchitecture-patternssupervisorswarmcontext-isolation

Features

Related Skills

More from AI & ML

Tree of Thoughts Reasoning

Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch

433NeoLabHQAI & MLDeveloper Tools00

LLM-as-Judge Evaluator

Standalone LLM-as-Judge evaluation tool with context isolation, Chain-of-Thought scoring, multi-dimensional weighted rubric, and evidence-backed assessments

433NeoLabHQAI & MLDeveloper Tools00

First Principles Hypothesis Framework

First Principles reasoning framework with hypothesis generation, logical and evidence validation, layered trust audit (L0/L1/L2), and reliability scoring

433NeoLabHQAI & MLDeveloper Tools00

---

Source: https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/sadd/skills/multi-agent-patterns
Author: NeoLabHQ
License: https://www.gnu.org/licenses/gpl-3.0.html
GitHub Stars: 433
Tags: multi-agent, architecture-patterns, supervisor, swarm, context-isolation

SKILL.md source

---
name: Multi-Agent Architecture Patterns
description: Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation
---

# Multi-Agent Architecture Patterns

Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation

What is it?
Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation Built for use cases involving multi-agent, architecture-patterns, supervisor, swarm, context-isolation.

## How to use it?
Install this skill in your Claude environment to enhance multi-agent architecture patterns capabilities. Once installed, Claude will automatically apply the skill's guidelines when relevant tasks are detected. You can also explicitly invoke it by referencing its name in your prompts.

The full source and documentation is available on GitHub.

## Key Features

* Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation
* Seamless integration with Claude's development workflow
* Comprehensive guidelines and best practices for multi-agent architecture patternsView on GitHub

### GitHub Stats
StarsForksLast UpdateAuthorNeoLabHQLicenseGPL-3.0Version1.0.0

### Categories
AI & MLDeveloper Tools

### Tags
multi-agentarchitecture-patternssupervisorswarmcontext-isolation

### Features

## Related Skills
More from AI & ML

### Tree of Thoughts Reasoning
Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch

433NeoLabHQAI & MLDeveloper Tools00

### LLM-as-Judge Evaluator
Standalone LLM-as-Judge evaluation tool with context isolation, Chain-of-Thought scoring, multi-dimensional weighted rubric, and evidence-backed assessments

433NeoLabHQAI & MLDeveloper Tools00

### First Principles Hypothesis Framework
First Principles reasoning framework with hypothesis generation, logical and evidence validation, layered trust audit (L0/L1/L2), and reliability scoring

433NeoLabHQAI & MLDeveloper Tools00

---

**Source**: https://github.com/NeoLabHQ/context-engineering-kit/tree/master/plugins/sadd/skills/multi-agent-patterns
**Author**: NeoLabHQ
**License**: https://www.gnu.org/licenses/gpl-3.0.html
**GitHub Stars**: 433
**Tags**: multi-agent, architecture-patterns, supervisor, swarm, context-isolation

Related skills 6

running-claude-code-via-litellm-copilot

★ Featured

Use when routing Claude Code through a local LiteLLM proxy to GitHub Copilot, reducing direct Anthropic spend, configuring ANTHROPIC_BASE_URL or ANTHROPIC_MODEL overrides, or troubleshooting Copilot proxy setup failures such as model-not-found, no localhost traffic, or GitHub 401/403 auth errors.

xixu-me 155k
AI & ML

skills-cli

★ Featured

Use when users ask to discover, install, list, check, update, remove, back up, restore, sync, or initialize Agent Skills, mention `bunx skills`, `npx skills`, `skills.sh`, or `skills-lock.json`, ask "find a skill for X", or want help extending agent capabilities with installable skills.

xixu-me 155k
AI & ML

repo-intake-and-plan

★ Featured

Narrow RigorPilot helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.

lllllllama 127k
AI & ML

image-to-video

★ Featured

Animate any still image on RunComfy — this skill is a smart router that matches the user's intent to the right i2v model in the RunComfy catalog. Picks HappyHorse 1.0 I2V (Arena #1, native audio, identity preservation) for general animations, Wan 2.7 with `audio_url` for custom-voiceover lip-sync, or Seedance 2.0 Pro for multi-modal animation from image + reference video + reference audio. Bundles each model's documented prompting patterns so the caller gets sharper output without burning ite...

agentspace-so 121k
AI & ML

video-edit

★ Featured

Edit existing video on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Wan 2.7 Edit-Video (general restyle / background swap / packaging swap, identity + motion preservation), Kling 2.6 Pro Motion Control (transfer precise motion from a reference video to a target character), or Lucy Edit Restyle (lightweight identity-stable restyle / outfit swap). Bundles each model's documented prompting patterns so the skill gets...

agentspace-so 121k
AI & ML

nano-banana-2

★ Featured

Generate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream in...

agentspace-so 121k
AI & ML