codex

Delegate complex reasoning tasks to the OpenAI Codex CLI.

2|Updated Oct 30, 2025
One-click install
npx skills add https://github.com/zachmayer/skills --skill codex-zachmayer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/zachmayer/skills/tree/main/.claude/skills/codex
Command: npx skills add https://github.com/zachmayer/skills --skill codex-zachmayer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a high-reasoning, tool-capable sub-agent for complex technical tasks that require deep analysis, multi-file tracing, or web-grounded research beyond the scope of a standard chat response.

Core Features & Use Cases

  • Deep Reasoning: Leverages the Codex model family for logic-heavy tasks, novel algorithm design, and complex debugging.
  • Tool-Grounded Execution: Integrates web search and file-system access to provide authoritative, detail-oriented second opinions.
  • Use Case: Use this when you need a second opinion on a complex architectural decision or require an exhaustive search of documentation to solve a persistent, multi-file bug.

Quick Start

Ask the codex skill to perform a deep-dive analysis on the current codebase to identify potential architectural bottlenecks.

Frequently Asked Questions about codex

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

FAQPage Schema
How do I perform deep reasoning and multi-file tracing for complex debugging?

Deep reasoning and multi-file tracing for complex debugging are executed by delegating prompts to the OpenAI Codex CLI, which supports logic-heavy problem solving and exhaustive codebase analysis.

Can I use the Codex CLI for architectural analysis and web-grounded research?

Yes, the Codex CLI supports architectural analysis and web-grounded research by integrating web search and file-system access to provide authoritative, detail-oriented technical second opinions.

What do I need to run high-effort reasoning operations for software development workflows?

Running high-effort reasoning operations requires the Codex CLI installed and configured with appropriate model access to handle complex reasoning tasks and technical analysis.

When should I use a deep-reasoning sub-agent instead of a standard chat response?

Use a deep-reasoning sub-agent when you face complex technical tasks requiring deep analysis, multi-file tracing, or web-grounded research that exceeds the scope of a standard chat response.

Does this approach work for novel algorithm design and persistent multi-file bugs?

Yes, this approach leverages the Codex model family for logic-heavy tasks like novel algorithm design and performs exhaustive documentation searches to solve persistent, multi-file bugs.

What are the limitations of using a CLI sub-agent for complex technical analysis?

The primary limitation is the dependency on having the Codex CLI installed and configured with appropriate model access, which is required for all high-effort reasoning operations and technical analysis.