swarm-orchestration

Coordinates multi-agent workflows for cross-file software changes via hierarchical swarms and CLI orchestration.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/fabri07/Vektor --skill swarm-orchestration-fabri07
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swarm-orchestration
Source: https://github.com/fabri07/Vektor/tree/main/.agents/skills/swarm-orchestration
Command: npx skills add https://github.com/fabri07/Vektor --skill swarm-orchestration-fabri07

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Coordinates cross-module work across multiple agents to reliably execute complex software changes, reducing drift and manual coordination.

Core Features & Use Cases

  • Hierarchical swarm topology to distribute work across specialized agents.
  • Task routing and orchestration across modules, with real-time monitoring hooks.
  • Use Case: refactor or implement a feature that touches several files and components.

Quick Start

Initialize and orchestrate a cross-file task by deploying a hierarchical swarm and directing agents to work together.

Frequently Asked Questions about swarm-orchestration

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

FAQPage Schema
How do I coordinate multi-agent collaboration for a cross-module refactor?

Multi-agent collaboration for cross-module refactoring is coordinated by deploying a hierarchical swarm topology that distributes specialized agents across files. This routes tasks hierarchically to prevent drift during complex software changes.

What is hierarchical swarm topology for software engineering tasks?

Hierarchical swarm topology is a coordination structure that distributes software engineering tasks across specialized agents. It routes work through a predefined hierarchy to execute complex changes across multiple modules reliably.

Can I use multi-agent orchestration for API changes with tests?

Yes, multi-agent orchestration supports API changes with tests by spawning and monitoring specialized agents. The CLI orchestrates these agents to execute cross-module modifications while tracking progress through real-time hooks.

What's the best way to monitor agents during complex feature implementation?

The best way to monitor agents during feature implementation is using orchestration commands via a CLI with real-time monitoring hooks. This tracks task routing across the hierarchical swarm as agents modify multiple files.

Does multi-agent swarm coordination work for performance and security optimization?

Yes, multi-agent swarm coordination works for performance and security optimization by routing specialized tasks across modules. The hierarchical topology deploys agents to execute these complex changes while reducing manual coordination overhead.

When should I not use multi-agent orchestration for software changes?

Multi-agent orchestration should not be used for simple, single-file modifications that lack cross-module dependencies. It is designed for complex changes requiring hierarchical coordination across multiple components to prevent drift.