coding-agent

Delegate coding tasks to AI agents in background processes.

2|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/FatBy/DD-OS --skill coding-agent-fatby
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coding-agent
Source: https://github.com/FatBy/DD-OS/tree/main/skills/coding-agent
Command: npx skills add https://github.com/FatBy/DD-OS --skill coding-agent-fatby

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates complex coding tasks, such as building new features, reviewing pull requests, refactoring code, and performing iterative development, by delegating them to specialized AI agents.

Core Features & Use Cases

  • AI-Powered Coding: Leverages agents like Codex, Claude Code, and Pi for code generation, review, and refactoring.
  • Background Execution: Supports running coding tasks in the background for long-running operations.
  • Secure Workspaces: Utilizes temporary directories or git worktrees for safe code review and development.
  • Use Case: You need to refactor a large Python codebase. Delegate this task to the coding-agent, specifying the target directory and desired outcome, and let the AI handle the iterative process.

Quick Start

Use the coding-agent skill to refactor the authentication module in your project directory.

Frequently Asked Questions about coding-agent

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

FAQPage Schema
How do I delegate coding tasks to an AI agent for refactoring a large codebase?

To delegate coding tasks like refactoring a large codebase, you can use background execution to let specialized AI agents handle the iterative process. Specify the target directory and desired outcome, and the AI will perform the code generation and modification automatically.

Can I use AI to review pull requests in a secure temporary directory?

Yes, you can review pull requests securely by utilizing temporary directories or git worktrees. This approach isolates the code review process, allowing the AI agent to analyze and evaluate code changes without affecting your main project environment.

What terminal requirements are needed to run interactive AI coding agents?

Running interactive AI coding agents requires a bash tool with pty:true support. This specific terminal capability is necessary to manage the interactive terminal applications used during background code generation and iterative development.

How does background execution work for long-running code generation and iterative development?

Background execution works by running long-running code generation tasks in separate background processes. This allows iterative development and file exploration to continue without blocking your main environment, delegating the heavy lifting to agents like Codex or Claude Code.

What is the best way to automate building new features using Claude Code or Codex?

The best way to automate building new features is delegating the task to AI agents like Claude Code or Codex through background processes. You define the feature requirements, and the agent handles the iterative coding and file exploration required for implementation.