codeagent

Execute multi-backend AI code tasks with Codex, Claude, and Gemini.

2.7k|308|Updated Jul 17, 2025
One-click install
npx skills add https://github.com/stellarlinkco/myclaude --skill codeagent-stellarlinkco
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codeagent
Source: https://github.com/stellarlinkco/myclaude/tree/main/skills/codeagent
Command: npx skills add https://github.com/stellarlinkco/myclaude --skill codeagent-stellarlinkco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines complex coding tasks by allowing you to leverage multiple AI backends (Codex, Claude, Gemini) and manage execution efficiently, especially for large-scale or multi-step operations.

Core Features & Use Cases

  • Multi-Backend Execution: Choose the best AI for specific coding tasks (Codex for analysis, Claude for docs, Gemini for UI).
  • File Referencing: Easily include file content in your tasks using @ syntax.
  • Parallel Processing: Run multiple tasks concurrently for faster development cycles.
  • Use Case: Refactor a large codebase by first analyzing its structure with Codex, then designing a new architecture with Claude, and finally generating the new code with Gemini.

Quick Start

Use the codeagent skill to refactor the code in the current directory using the codex backend.

Frequently Asked Questions about codeagent

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

FAQPage Schema
How do I run AI code tasks across multiple backends like Codex, Claude, and Gemini?

You can execute multi-backend AI code tasks by using the codeagent-wrapper to select specific backends like Codex, Claude, or Gemini for code analysis, refactoring, and generation. It supports file referencing and structured output for complex operations.

What is the best way to refactor a large codebase using parallel AI execution?

Parallel processing for large-scale refactoring allows you to run multiple tasks concurrently across different AI backends. You can analyze code structure with one backend and generate new code with another to accelerate development cycles.

Can I include file content directly when generating code or analyzing my project?

Yes, file referencing is supported using the @ syntax to easily include file content in your tasks. This enables the AI backends to process context-aware code generation and structured analysis.

Does codeagent support configurable security controls for automated code generation?

Configurable security controls are supported for automated code generation and multi-backend execution. This ensures safe management of complex code analysis and large-scale refactoring operations across Codex, Claude, and Gemini.

How do I choose the right AI backend for specific coding tasks?

Multi-backend execution lets you choose the best AI for specific tasks, such as using Codex for code analysis, Claude for documentation, and Gemini for UI code generation. This optimizes task results based on backend strengths.

Are there limitations when executing parallel tasks for large-scale refactoring?

While parallel execution accelerates large-scale refactoring, task complexity and backend selection may affect performance. Configurable security controls and structured output help manage these complex, multi-step operations effectively.