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coding-agent

Delegate coding tasks to AI agents via background processes.

Updated Aug 23, 2026
Search Tags:#automation#development#code review#refactoring#codex#claude#coding
One-click install
npx skills add https://github.com/fame0528/Savant-dead --skill coding-agent-fame0528
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coding-agent
Source: https://github.com/fame0528/Savant-dead/tree/main/skills/coding-agent
Command: npx skills add https://github.com/fame0528/Savant-dead --skill coding-agent-fame0528

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates complex coding tasks, code reviews, and refactoring, significantly speeding up the development lifecycle and reducing manual effort.

Core Features & Use Cases

  • Code Generation: Build new features, apps, or refactor large codebases.
  • Code Review: Review Pull Requests efficiently in temporary directories.
  • Iterative Development: Explore and modify codebases iteratively.
  • Use Case: Automatically refactor a legacy Python service into a more modular structure, ensuring all existing functionality is preserved and tests pass.

Quick Start

Use the coding-agent to build a dark mode toggle for the current project.

Frequently Asked Questions about coding-agent

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

FAQPage Schema
How do I automate refactoring a legacy codebase while preserving existing tests?▼

Automate refactoring a legacy codebase by delegating the task to a background AI agent. The agent iteratively explores and modifies files, ensuring all existing functionality is preserved and tests pass throughout the process.

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

Yes, you can use Claude Code or Codex to review pull requests automatically. The process delegates the review task to these AI agents, which operate efficiently within temporary directories to evaluate the code changes.

Does automated code generation work with specific execution modes for different AI agents?▼

Automated code generation mandates specific execution modes for different AI agents, requiring PTY for Codex and Pi, and the --print flag for Claude Code, ensuring proper background process delegation and execution.

What are the limitations of using background AI agents for iterative development?▼

A key limitation of background AI agents for iterative development is workspace interference. The system enforces workspace restrictions to prevent agents from modifying or interfering with live system code during file exploration.

What is the best way to build new features using AI coding agents?▼

The best way to build new features using AI coding agents is delegating the task to a background process. This facilitates iterative development and file exploration while respecting workspace restrictions to protect live code.

Do I need temporary directories to review code with AI agents?▼

Yes, you need temporary directories to review code with AI agents. Conducting pull request reviews in temporary directories isolates the evaluation process and maintains workspace restrictions against live system code.

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