codex-orchestrator

Orchestrate AI coding agents through a multi-stage development pipeline from ideation to testing.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/Himanshu040604/codex-skills-setup --skill codex-orchestrator-himanshu040604
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex-orchestrator
Source: https://github.com/Himanshu040604/codex-skills-setup/tree/main/assets/codex/skills/claude-import/skills/plugins/codex-orchestrator%40codex-orchestrator-marketplace/skills/codex-orchestrator
Command: npx skills add https://github.com/Himanshu040604/codex-skills-setup --skill codex-orchestrator-himanshu040604

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a robust framework for orchestrating AI coding agents (Codex agents) to perform complex development tasks, ensuring efficient execution, quality control, and clear communication between AI and user.

Core Features & Use Cases

  • Agent Orchestration: Manages the lifecycle of Codex agents, from spawning to monitoring and communication.
  • Pipeline Management: Guides tasks through distinct stages: Ideation, Research, Synthesis, PRD Creation, Implementation, Review, and Testing.
  • Quality Assurance: Enforces quality gates at each stage, including code reviews, security audits, and testing.
  • Use Case: When tasked with implementing a new feature, this Skill will first research existing code, then help create a Product Requirements Document (PRD), spawn agents to implement the feature, conduct security and quality reviews, and finally ensure comprehensive tests are written and passing.

Quick Start

Use the codex-orchestrator skill to investigate the authentication flow for vulnerabilities.

Frequently Asked Questions about codex-orchestrator

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

FAQPage Schema
How do I orchestrate multiple AI coding agents for a complex software development pipeline?

You can orchestrate AI coding agents by using a multi-stage pipeline that manages tasks from ideation to testing. This Skill coordinates Codex agents through parallel execution, quality gating, and detailed logging for development workflows.

Can I use OpenAI Codex CLI to manage tasks from PRD creation to automated code review and testing?

Yes, OpenAI Codex CLI is required for agent execution and management. The Skill facilitates a pipeline guiding tasks through Ideation, Research, Synthesis, PRD Creation, Implementation, Review, and Testing with enforced quality gates.

Do I need tmux and Bun to run parallel AI coding agents for development workflows?

Yes, you need tmux, Bun, and OpenAI Codex CLI for agent execution and management. These dependencies are required to spawn, monitor, and manage multiple AI coding agents operating in parallel.

What is the best way to enforce quality assurance and security audits during AI code generation?

The best way to enforce quality assurance is through a pipeline that enforces quality gates at each stage, including automated code reviews, security audits, and testing. This ensures clear communication and quality control between AI and user.

When should I use agent orchestration instead of a single AI coding assistant for feature implementation?

You should use agent orchestration when implementing complex features that require researching existing code, creating a Product Requirements Document (PRD), spawning agents for parallel implementation, and conducting comprehensive security and quality reviews.

Why does agent orchestration require distinct pipeline stages like synthesis and PRD creation before implementation?

Agent orchestration requires distinct pipeline stages to ensure efficient execution and quality control. Stages like Synthesis and PRD Creation structure the development workflow, ensuring AI agents have clear requirements before implementation and testing begin.