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darrencroton
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ai-orchestrator

Orchestrate AI coding tasks across external CLI tools with planning, delegation, and verification.

1|Updated Jul 10, 2026
Search Tags:#code review#quality control#task automation#AI orchestration#AI coding
One-click install
npx skills add https://github.com/darrencroton/ai-engineering-skills --skill ai-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-orchestrator
Source: https://github.com/darrencroton/ai-engineering-skills/tree/main/skills/ai-orchestrator
Command: npx skills add https://github.com/darrencroton/ai-engineering-skills --skill ai-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, git, tmux, Claude Code, Codex CLI, GitHub Copilot CLI, OpenCode CLI, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables orchestration of AI coding tasks using external tools like Claude Code, Codex CLI, GitHub Copilot CLI, and OpenCode CLI. It ensures control and quality throughout the process, reducing the reliance on AI and maintaining human oversight.

Core Features & Use Cases

  • Selective Delegation: Delegates tasks to external AI tools when it improves quality, speed, or context management.
  • End-to-End Workflow: Covers planning, delegation, verification, testing, final synthesis, and delivery.
  • Role-Based Execution: Supports orchestrator, senior worker, and junior worker roles with distinct capabilities and limitations.
  • Model Selection: Allows selection of the best AI model for the task at hand.
  • Delegation Discipline: Ensures self-contained worker requests with clear contracts and outputs.
  • Use Case: If you need to implement a feature in a codebase, you can use this Skill to orchestrate the task across several AI tools, ensuring the final result is reviewed and verified before commit.

Quick Start

Use the ai-orchestrator skill to implement the feature 'add a new endpoint' in the project 'myapp', using Claude Code for initial implementation, Codex CLI for refactoring, and GitHub Copilot CLI for code review.

Frequently Asked Questions about ai-orchestrator

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

FAQPage Schema
How do I orchestrate AI coding tasks across multiple CLI tools?▼

You can orchestrate AI coding tasks by delegating work to external tools like Claude Code and Codex CLI, maintaining human oversight through planning, delegation, verification, and final synthesis before delivery.

How does AI orchestration handle code review and quality control?▼

AI orchestration handles code review and quality control by selectively delegating tasks to external tools and verifying the results before commit, ensuring human oversight is maintained throughout the workflow.

Do I need Python and Git to orchestrate AI coding tasks?▼

Yes, you need Python3 and Git installed, along with specific AI tool CLI integrations like Claude Code or GitHub Copilot CLI, to execute the coordination required for AI coding task orchestration.

Can I use GitHub Copilot CLI for code review while Claude Code handles implementation?▼

Yes, you can delegate initial implementation to Claude Code, refactoring to Codex CLI, and code review to GitHub Copilot CLI, orchestrating these tools to handle distinct roles within a single workflow.

What is the best way to manage AI coding context and delegation discipline?▼

The best way to manage AI coding context is using role-based execution with orchestrator, senior worker, and junior worker roles, ensuring self-contained worker requests with clear contracts and outputs.

Why use multiple AI coding tools instead of a single CLI for feature implementation?▼

Using multiple AI coding tools allows you to select the best model for the task at hand, improving quality, speed, and context management through end-to-end workflow coverage from planning to final delivery.

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