Forge Workflow

Decompose large problems into parallel tasks orchestrated across multiple agents.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/KhoriumAI/SimOps --skill forge-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Forge Workflow
Source: https://github.com/KhoriumAI/SimOps/tree/main/khorium_skills/forge_workflow_and_agent_splitting
Command: npx skills add https://github.com/KhoriumAI/SimOps --skill forge-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Forge Workflow provides a disciplined, scalable framework to decompose large problems into parallel, isolated tasks while enforcing contracts and boundaries across human and AI agents.

Core Features & Use Cases

  • Hierarchical orchestration: a central Architect defines tasks and delegates to independent Workers, enabling parallel execution.
  • Strict file and interface protocols: ensures clean handoffs, reproducibility, and safe collaboration on complex problems.
  • Use cases include solving multi-agent planning, distributed prompt engineering, and large-scale problem decomposition.

Quick Start

Create a new Forge Workflow project, set up AI_Agent_Projects/[Project_Name]/, and begin decomposing a problem into isolated tasks with clear prompts and artifacts.

Frequently Asked Questions about Forge Workflow

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

FAQPage Schema
How do I decompose large problems into parallelizable tasks for multi-agent orchestration?

To decompose large problems for multi-agent orchestration, a central Architect defines isolated tasks and delegates them to independent Workers. This hierarchical approach enables parallel execution while enforcing strict file and interface protocols for safe handoffs.

What is the Clean Project Protocol for distributed prompt engineering?

The Clean Project Protocol is a strict file and interface framework that enforces boundaries and contracts across human and AI agents. It ensures reproducibility, clean handoffs, and safe collaboration during distributed prompt engineering and task decomposition.

How do I ensure safe handoffs between independent AI agents in complex projects?

Safe handoffs between independent AI agents are ensured by defining strict file and interface protocols. The workflow requires a verify_task.py script in worker folders to validate task isolation and enforce clean boundaries for reproducible collaboration.

Can I use multi-agent orchestration for large-scale problem decomposition without dependencies?

Yes, multi-agent orchestration for large-scale problem decomposition can be implemented without external dependencies. The framework uses a central Architect to define tasks and independent Workers to execute them in parallel, enforcing contracts internally.

What is the best way to structure a project directory for parallel task execution?

The best way to structure a project for parallel task execution is to create a new Forge Workflow project at AI_Agent_Projects/[Project_Name]/. This setup isolates tasks into independent worker folders with clear prompts, artifacts, and verify_task.py validation.

When should I not use hierarchical orchestration for multi-agent problem solving?

Hierarchical orchestration for multi-agent problem solving is not suitable for small, tightly coupled tasks that cannot run independently. It is designed for large-scale, isolated problems where strict file and interface protocols are necessary for safe collaboration.