swarm-iosm

Orchestrate parallel AI subagents with dependency scheduling and IOSM quality gates.

36|4|Updated Jan 18, 2026
One-click install
npx skills add https://github.com/rokoss21/swarm-iosm --skill swarm-iosm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swarm-iosm
Source: https://github.com/rokoss21/swarm-iosm/tree/main
Command: npx skills add https://github.com/rokoss21/swarm-iosm --skill swarm-iosm

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates complex development tasks by orchestrating parallel AI subagents, managing dependencies, preventing file conflicts, and enforcing quality gates, significantly accelerating software delivery.

Core Features & Use Cases

  • Parallel Execution: Launches multiple AI subagents simultaneously for faster task completion.
  • Dependency Management: Intelligently schedules tasks based on defined dependencies.
  • Quality Gates: Enforces IOSM (Improve, Optimize, Shrink, Modularize) standards for code quality and performance.
  • Use Case: Develop a new microservice feature from PRD to deployment, with AI agents handling requirements decomposition, parallel coding, testing, and integration, all while ensuring code quality standards are met.

Quick Start

Use the swarm iosm skill to create a new track for adding user authentication.

Frequently Asked Questions about swarm-iosm

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

FAQPage Schema
How do I orchestrate parallel AI agents for software development tasks?

Parallel AI agent orchestration coordinates multiple subagents simultaneously to accelerate complex software development by managing task dependencies, continuously dispatching schedules, and preventing file conflicts during execution.

What are IOSM quality gates in workflow automation?

IOSM quality gates enforce code quality standards by applying the Improve, Optimize, Shrink, and Modularize principles to evaluate the output of parallel AI subagents before integrating their code.

How do I prevent file conflicts when running multiple AI coding agents in parallel?

Preventing file conflicts during parallel AI execution requires an orchestration system that automatically detects overlapping file modifications and intelligently schedules tasks based on their defined dependencies.

Can I use a PRD-driven approach to decompose requirements for parallel AI execution?

A PRD-driven approach supports parallel AI execution by decomposing product requirements into manageable tracks, allowing automated subagent spawning to handle coding, testing, and integration tasks simultaneously.

What is the best way to manage task dependencies in automated AI workflows?

Managing task dependencies in automated AI workflows requires continuous dispatch scheduling that intelligently sequences tasks, ensuring prerequisite conditions are met before spawning the next subagent.

Does parallel AI orchestration work for developing new microservice features?

Parallel AI orchestration works for developing new microservice features by dispatching subagents to handle requirements decomposition, parallel coding, testing, and integration while enforcing IOSM quality gates.