swarm-advanced

Name: swarm-advanced
Availability: InStock
Author: kling0012

Coordinate distributed workflows across mesh, hierarchical, star, and ring swarm topologies.

1|Updated Jan 6, 2026

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

Ready to run

npx skills add https://github.com/Kling0012/MCRPG --skill swarm-advanced-kling0012

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: swarm-advanced
Source: https://github.com/Kling0012/MCRPG/tree/main/.claude/skills/swarm-advanced
Command: npx skills add https://github.com/Kling0012/MCRPG --skill swarm-advanced-kling0012

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating advanced swarm orchestration patterns across distributed environments to enable scalable, reproducible workflows.

Core Features & Use Cases

Multi-topology swarm orchestration (mesh, hierarchical, star, ring) for research, development, and testing.
Role-based agent orchestration with deterministic task execution and parallelization.
Real-world use: orchestrate a research swarm to run parallel experiments and synthesize results.

Quick Start

Install claude-flow globally using npm and prepare a MCP server if required. Initialize a swarm with topology and max agents. Spawn specialized agents and run task orchestration commands.

Frequently Asked Questions about swarm-advanced

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

FAQPage Schema

How do I coordinate distributed workflows across multiple agents in a swarm?▼

Distributed swarm orchestration coordinates complex workflows by initializing a swarm with topology configuration, spawning specialized agents, and executing deterministic tasks in parallel across mesh, hierarchical, star, or ring topologies to scale research, development, and testing environments.

What topologies does advanced swarm orchestration support?▼

Advanced swarm orchestration supports four topology patterns—mesh, hierarchical, star, and ring—enabling role-based agent coordination tailored to different workflow structures, distributed system designs, and communication requirements across research and testing scenarios.

How do I set up a swarm for parallel task execution and result synthesis?▼

Set up a swarm by preparing a SKILL.md frontmatter with name and description, installing claude-flow globally, configuring max agents and topology type, spawning specialized agents, then running task orchestration commands to execute parallel experiments and synthesize results deterministically.

Can I use swarm orchestration for research experiments and reproducible workflows?▼

Yes, swarm orchestration enables reproducible workflows through deterministic task execution, role-based agent assignment, and parallel experiment coordination across distributed environments—ideal for research scenarios requiring consistent, scalable result synthesis.

What prerequisites are needed before running a swarm orchestration workflow?▼

Before running swarm orchestration, install claude-flow globally, prepare an MCP server if required, create a SKILL.md file with name and description frontmatter, and optionally include scripts/, references/, and assets/ directories for runtime operations.

What happens when swarm agents fail or communication breaks in a distributed topology?▼

Advanced swarm orchestration requires deterministic task execution and role-based agent coordination across topologies; failover behavior and communication resilience depend on topology choice and MCP server configuration—test edge cases in development environments before production deployment.