swarm-swarm

Orchestrates interchangeable workers claiming shared tasks for parallel processing.

5|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/ben-alkov/the_swarm --skill swarm-swarm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swarm-swarm
Source: https://github.com/ben-alkov/the_swarm/tree/main/src/skills/swarm-swarm
Command: npx skills add https://github.com/ben-alkov/the_swarm --skill swarm-swarm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill efficiently manages large workloads by distributing independent tasks among a pool of interchangeable workers that dynamically claim tasks as they become available.

Core Features & Use Cases

  • Scalable Task Distribution: Handles numerous similar tasks by allowing workers to pick up new tasks upon completion.
  • Efficient Resource Utilization: Ideal for scenarios where task complexity is uniform and worker roles are interchangeable.
  • Use Case: Audit all modules in a large codebase by having multiple workers concurrently claim and audit individual modules until the entire codebase is covered.

Quick Start

Use the swarm-swarm skill to audit all modules in the codebase with the large-codebase-audit preset.

Frequently Asked Questions about swarm-swarm

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

FAQPage Schema
How do I distribute independent tasks across a pool of parallel workers?

Parallel task distribution assigns independent, similar-sized tasks from a shared list to interchangeable workers. Workers dynamically claim, complete, and report on tasks until the entire shared task pool is empty.

What is the best way to audit all modules in a large codebase concurrently?

Auditing a large codebase concurrently uses a large-codebase-audit preset where multiple workers self-assign and audit individual modules in parallel until the entire codebase is completely covered.

When should I use agent orchestration for distributed computing workloads?

Agent orchestration for distributed computing is ideal when you have large workloads with many independent, similar-sized tasks where the total number of tasks significantly exceeds the available number of workers.

How does self-claiming worker task distribution actually work?

Self-claiming task distribution works by orchestrating a pool of interchangeable workers that dynamically pick up new tasks upon completion, ensuring efficient resource utilization until the shared task list is fully empty.

Can I use parallel processing for workloads with highly variable task complexity?

Parallel processing with self-claiming workers is designed for workloads where task complexity is uniform. If task complexity varies widely, worker roles may no longer be interchangeable, reducing efficient resource utilization.