cfn-loop-orchestration-v2-legacy

Coordinate container-based CFN Loop execution across agents and consensus workflows.

14|2|Updated Sep 23, 2025
One-click install
npx skills add https://github.com/masharratt/claude-flow-novice --skill cfn-loop-orchestration-v2-legacy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cfn-loop-orchestration-v2-legacy
Source: https://github.com/masharratt/claude-flow-novice/tree/main/.claude/cfn-loop-orchestration-v2/lib/orchestrator/SKILL.md
Command: npx skills add https://github.com/masharratt/claude-flow-novice --skill cfn-loop-orchestration-v2-legacy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

A legacy TS-based orchestration interface and its design notes for backward compatibility.

Core Features & Use Cases

  • Migration context: Helps teams migrate from older designs to TS v2.
  • Reference implementation: Illustrates architecture decisions.

Quick Start

Use as design reference; no runtime execution.

Frequently Asked Questions about cfn-loop-orchestration-v2-legacy

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

FAQPage Schema
How do I migrate from older TypeScript orchestration designs to TS v2?

Migration from legacy designs is supported through this TS v2 reference implementation, which documents the architectural decisions and patterns for updating container-based CFN Loop orchestration. Use it as a design guide to understand the transition path and implement equivalent functionality in your updated codebase.

What does CFN Loop orchestration accomplish in a containerized AI agent ecosystem?

CFN Loop orchestration coordinates task analysis, loop management, agent spawning, consensus collection, and Product Owner decision flow across dockerized AI agent systems. It manages state via Redis, applies GOAP-driven decision making, and supports MVP, Standard, and Enterprise modes.

Can I use this as a reference for designing container-based agent orchestration?

Yes. This reference implementation illustrates architecture decisions for orchestrating containerized AI agents with task analysis, agent lifecycle management, progress monitoring, gate checks, consensus aggregation, and PO decision triggers—suitable for teams designing Loop 2 validators and Loop 3 implementers.

What TypeScript patterns does this legacy reference document for agent orchestration?

The reference documents TypeScript v2 patterns for Redis-backed state management, GOAP-driven decision making, agent spawning coordination, consensus collection workflows, and configurable deployment modes—designed for backward compatibility with older orchestration designs.

Is this implementation suitable for production AI agent deployments?

This is a legacy reference and design guide intended for migration and architectural learning, not runtime execution. Use it to understand orchestration patterns and inform your production implementation rather than as a direct runtime solution.