Codex-automation-recommender

Analyze codebases to recommend Codex automations for MCP servers, skills, hooks, subagents, and plugins.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/jmolz/m0lz.02 --skill codex-automation-recommender-jmolz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Codex-automation-recommender
Source: https://github.com/jmolz/m0lz.02/tree/main/.agents/skills/claude-automation-recommender
Command: npx skills add https://github.com/jmolz/m0lz.02 --skill codex-automation-recommender-jmolz

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users analyze their codebase and receive tailored recommendations for Codex automations, improving efficiency and maintaining code quality.

Core Features & Use Cases

  • Codebase Analysis: Automatically detects the language, framework, and libraries used in the project.
  • Automation Recommendations: Provides specific recommendations for MCP servers, skills, hooks, subagents, and plugins.
  • Use Case: For a project using React and Express, the Skill might recommend a 'context7' MCP server for live documentation lookup and a 'Playwright' MCP for browser automation and testing.

Quick Start

Run the 'Codex-automation-recommender' skill on your codebase to get a report of automation recommendations.

Frequently Asked Questions about Codex-automation-recommender

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

FAQPage Schema
How do I get Codex automation recommendations for my codebase?

To get Codex automation recommendations, you run the recommender to analyze your codebase's language, framework, and libraries, yielding a tailored report of automation suggestions for improved development workflows.

What types of Codex automations can be recommended for a development workflow?

Recommended Codex automations focus on integrating MCP servers, skills, hooks, subagents, and plugins to optimize development workflows and improve productivity within your specific codebase.

How does codebase analysis detect the right MCP servers for a project?

Codebase analysis detects the right MCP servers by profiling your project's languages, frameworks, and libraries, then matching those dependencies to specific MCP servers like context7 for documentation or Playwright for browser automation.

Can I use the recommender to automate workflows for a React and Express project?

Yes, you can use the recommender for a React and Express project; it analyzes the specific libraries and frameworks used to suggest tailored automations like live documentation lookups and browser testing.

Do I need specific tools for codebase profiling before getting automation recommendations?

You need tools for language detection, dependency analysis, and codebase profiling to be available in your environment, as the recommender requires these capabilities to accurately analyze your project and generate automation suggestions.

What is the best way to optimize development workflows using Codex hooks and subagents?

The best way to optimize workflows using Codex hooks and subagents is to run a codebase analysis that profiles your project's technical stack, producing specific recommendations for deploying these automations effectively.