codex-delegator

🥈Silver

Automatically delegates complex, logic-intensive tasks from Claude to OpenAI Codex CLI. Enables AI-to-AI collaboration for problem-solving. Integrates with developer workflows and CLI tools.

1100Updated 1mo ago

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/eddiearc/codex-delegator.git

Works with:

Claude

Overview

About This Skill

Automatically delegates complex, logic-intensive tasks from Claude to OpenAI Codex CLI. Enables AI-to-AI collaboration for problem-solving. Integrates with developer workflows and CLI tools.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/eddiearc/codex-delegator

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I need to solve this complex coding problem: [PROBLEM]. Please use Codex Delegator to delegate this task to OpenAI Codex CLI and provide me with the solution. I'm working on [PROJECT] in [PROGRAMMING_LANGUAGE].

Example Output

# Solution for [PROJECT] in [PROGRAMMING_LANGUAGE]

## Problem Statement
[PROBLEM]

## Solution
```python
# The following code solves the problem by implementing a [SOLUTION_APPROACH]
# This solution was generated by OpenAI Codex CLI and refined by Claude

[CODE_SNIPPET]
```

## Explanation
- The solution uses [TECHNIQUE] to achieve [GOAL]
- It handles edge cases such as [EDGE_CASE_1] and [EDGE_CASE_2]
- The time complexity is [TIME_COMPLEXITY] and space complexity is [SPACE_COMPLEXITY]

## Next Steps
1. Integrate this solution into your [PROJECT] codebase
2. Test the solution with the following test cases:
   - [TEST_CASE_1]
   - [TEST_CASE_2]
3. Monitor the performance and make adjustments as needed