swarm

Orchestrate multiple AI subagents in parallel for complex tasks.

3|1|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/yon/agentic-dev-os --skill swarm-yon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swarm
Source: https://github.com/yon/agentic-dev-os/tree/main/.claude/skills/swarm
Command: npx skills add https://github.com/yon/agentic-dev-os --skill swarm-yon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a flexible framework for managing multiple AI subagents working concurrently on different aspects of a larger task, enabling parallel processing and complex problem-solving.

Core Features & Use Cases

  • Custom Subagent Composition: Define and spawn unique combinations of subagents for specialized workflows.
  • Parallel Execution: Run multiple agents simultaneously for research, debugging, or migration tasks.
  • Controlled Orchestration: Plan subagent roles, file ownership, and dependencies for efficient collaboration.
  • Use Case: Debugging a complex intermittent bug by spawning multiple agents to analyze different code paths, system logs, and recent changes concurrently.

Quick Start

Use the swarm skill to research how the auth system works by spawning multiple explore subagents in parallel.

Frequently Asked Questions about swarm

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

FAQPage Schema
How do I orchestrate multiple AI subagents to run in parallel for complex tasks?

You orchestrate parallel subagents by defining specialized roles, file ownership, and dependencies, enabling concurrent execution for research, debugging, and large-scale migrations. This framework ensures adversarial separation for code quality during complex problem-solving.

What is the best way to debug an intermittent bug using parallel AI agents?

Debugging intermittent bugs with parallel AI agents involves spawning multiple agents to analyze different code paths, system logs, and recent changes concurrently. This controlled orchestration accelerates root cause analysis across complex system interactions.

Can I define custom subagent compositions for specialized migration workflows?

Yes, you can define and spawn unique combinations of specialized subagents for migration workflows. This custom composition allows flexible orchestration, plan subagent roles, and ensures file ownership boundaries are maintained during parallel execution.

How does adversarial separation work when managing concurrent AI subagents?

Adversarial separation during concurrent subagent execution enforces strict file ownership and role dependencies, preventing overlapping modifications. This controlled orchestration maintains code quality when multiple agents tackle different aspects of a larger task.

When should I use parallel subagent orchestration instead of a single AI agent?

Use parallel subagent orchestration for complex tasks like large-scale migrations or deep research requiring concurrent processing. If a task needs specialized agents analyzing different code paths or system logs simultaneously, parallelism provides significant efficiency over single-agent execution.