coding-agent

Control AI coding assistants like Codex and Claude Code via background PTY sessions.

3.1k|368|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/openocta/openocta --skill coding-agent-openocta
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coding-agent
Source: https://github.com/openocta/openocta/tree/main/src/embed/skills/coding-agent
Command: npx skills add https://github.com/openocta/openocta --skill coding-agent-openocta

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a unified interface to leverage powerful AI coding assistants like Codex, Claude Code, OpenCode, and Pi Coding Agent for complex programming tasks, automating code generation, refactoring, and review.

Core Features & Use Cases

  • Interactive Coding Assistance: Use AI to write, debug, and refactor code directly within your development environment.
  • Automated Code Generation: Generate boilerplate code, implement algorithms, or build entire features based on natural language prompts.
  • Code Review: Utilize AI to review pull requests, identify potential issues, and suggest improvements.
  • Background Task Execution: Run coding agents in the background for long-running tasks, with session monitoring and control.
  • Use Case: Automatically refactor a legacy Python module using Codex, review a pull request for a new feature using Codex, or generate unit tests for a critical function using Claude Code.

Quick Start

Use the coding-agent skill to execute the command 'codex exec "Write a Python function to calculate Fibonacci numbers"' with PTY enabled in the current directory.

Frequently Asked Questions about coding-agent

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

FAQPage Schema
How do I automate code generation and refactoring using an AI coding assistant?

AI coding assistants automate code generation and refactoring by executing natural language prompts via background processes. You can programmatically control tools like Codex or Claude Code to generate boilerplate, implement algorithms, and refactor legacy modules directly within your environment.

Can I use Claude Code and Codex to review pull requests automatically?

Yes, you can use Claude Code and Codex for automated code review of pull requests. The coding-agent skill integrates with git workflows to identify potential issues, suggest improvements, and review new features programmatically through background sessions.

Does the coding-agent skill support interactive terminal applications requiring a pseudo-terminal?

Yes, the coding-agent skill supports interactive terminal applications requiring a pseudo-terminal (PTY) for correct operation. It manages background sessions, sends input, and monitors progress for AI coding assistants like Codex, Claude Code, OpenCode, and Pi.

How do I run long-running coding tasks in the background with Codex or OpenCode?

You can run long-running coding tasks in the background with Codex or OpenCode by enabling PTY and executing commands in your current directory. The skill provides features for managing background sessions, sending input, and monitoring task progress.

What is the best way to unify control over multiple AI coding assistants like Pi and OpenCode?

The best way to unify control over multiple AI coding assistants like Pi and OpenCode is using a single interface that manages background processes and PTY sessions. This approach enables programmatic control, session monitoring, and input management across different tools.

When do I need a pseudo-terminal (PTY) for AI code generation workflows?

You need a pseudo-terminal (PTY) for AI code generation workflows when running interactive terminal applications that require correct operation. PTY support ensures proper background session management, input sending, and progress monitoring for coding assistants.