swarm-advanced

Name: swarm-advanced
Availability: InStock
Author: ethansuttor

Orchestrate multi-topology swarm workflows with diverse agent roles and safety checks.

Updated Apr 1, 2026

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

Ready to run

npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill swarm-advanced-ethansuttor

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Spearhead complex, distributed swarm orchestration to accelerate multi-team experiments, simulations, and coordinated tasks across research, development, and testing environments.

Core Features & Use Cases

Supports multi-topology swarms (mesh, hierarchical, star, ring) to match collaboration and workload patterns.
Spawn and coordinate diverse agent roles (researchers, developers, testers, analysts, documenters) with deterministic task allocation and parallel execution.
Built-in memory management, workflow orchestration, monitoring, and safety checks to enable end-to-end coordination of large-scale experiments.
Real-world use cases include research swarm for parallel data gathering, development swarm for modular production, testing swarm for QA automation, and analysis swarm for code quality and security reviews.

Quick Start

Deploy an advanced swarm with mesh topology, spawn a mixed team, and begin orchestrating a complex workflow.

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 swarms for complex development and testing workflows?▼

Orchestrate distributed swarms by applying multi-topology structures like mesh, hierarchical, star, and ring to coordinate diverse agent roles for development and testing workflows. This approach enables deterministic task allocation and parallel execution across software teams.

What is a multi-topology swarm and when do I need it for research automation?▼

A multi-topology swarm uses mesh, hierarchical, star, or ring structures to match collaboration patterns. You need it for research automation when coordinating parallel data gathering and large-scale experiments across multiple diverse agents.

Can I spawn mixed agent roles like researchers and testers in the same automated task orchestration?▼

Yes, you can spawn mixed agent roles including researchers, developers, testers, analysts, and documenters within the same automated task orchestration, enabling parallel execution and deterministic task allocation across labs and QA pipelines.

What is the best way to manage memory and enforce safety checks in a distributed swarm?▼

Manage memory and enforce safety checks in a distributed swarm by using built-in workflow orchestration that includes toxicity checks, explicit dependencies, and YAML frontmatter validation to ensure safe execution across all coordinated tasks.

Does swarm orchestration support QA pipelines and code quality analysis?▼

Swarm orchestration supports QA pipelines through testing swarms for QA automation and analysis swarms for code quality reviews. It enforces safe execution with explicit dependencies and components while coordinating tasks.

What are the limitations of using mesh topology swarms for software team coordination?▼

Mesh topology swarms require built-in memory management and workflow orchestration to handle complex coordination safely. Limitations include the need for explicit dependencies and YAML validation to prevent toxicity issues during automated task allocation.