swarm-advanced

Orchestrate distributed workflows using Claude Flow MCP tools and CLI commands.

Updated Feb 4, 2026

Search Tags:#testing #development #research #swarm orchestration #distributed workflow

Ready to run

npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill swarm-advanced-marcus-mok-gh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: swarm-advanced
Source: https://github.com/Marcus-Mok-GH/Chess.com-app/tree/main/.migration-backup/.claude/skills/swarm-advanced
Command: npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill swarm-advanced-marcus-mok-gh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude-flow, mcp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of orchestrating complex, distributed workflows, providing advanced patterns for research, development, testing, and coordination.

Core Features & Use Cases

Advanced Swarm Patterns: Offers a variety of topologies and strategies for orchestrating workflows.
Research Swarm: Facilitates deep research through parallel information gathering, analysis, and synthesis.
Development Swarm: Enables full-stack development through coordinated specialist agents.
Testing Swarm: Ensures comprehensive quality assurance through distributed testing.
Analysis Swarm: Performs deep code and system analysis through specialized analyzers.
Use Case: For a large-scale data analysis project, use the Skill to coordinate a swarm of agents for data collection, processing, and analysis.

Quick Start

To initialize a research swarm with a mesh topology and adaptive strategy, run the following command:

mcp__claude-flow__swarm_init({ topology: "mesh", maxAgents: 6, strategy: "adaptive" })

Frequently Asked Questions about swarm-advanced

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

FAQPage Schema

How do I orchestrate distributed workflows for parallel research and code analysis?▼

Orchestrate distributed workflows by deploying a swarm of agents to handle parallel information gathering, deep code analysis, and synthesis. This approach coordinates specialized agents across various topologies to process large-scale tasks concurrently.

How do I set up a swarm topology for full-stack development?▼

Set up a swarm for full-stack development by initializing a mesh topology with an adaptive strategy. This coordinates specialist agents to handle distinct development tasks across the distributed workflow concurrently.

Do I need an MCP server to coordinate a testing swarm for quality assurance?▼

Yes, coordinating a testing swarm requires an MCP server and Claude Flow setup. These dependencies provide the necessary CLI commands and tools to execute distributed testing and ensure comprehensive quality assurance across agents.

What is the best way to coordinate multiple agents for large-scale data collection?▼

The best way to coordinate multiple agents for large-scale data collection is using an advanced swarm orchestration pattern. This allows a swarm of agents to concurrently gather, process, and analyze data efficiently.

What are the limitations of using adaptive strategies for distributed workflow coordination?▼

Adaptive strategies for distributed workflow coordination require both Claude Flow and an MCP server to function. Complex topologies with high agent counts may introduce coordination overhead, making them less suitable for simple, linear tasks.