coder

Generate and refactor production code with research, implementation, and verification phases.

Updated Jan 17, 2026
One-click install
npx skills add https://github.com/chijunzheng/ShowMe --skill coder-chijunzheng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coder
Source: https://github.com/chijunzheng/ShowMe/tree/main/.claude/skills/coder
Command: npx skills add https://github.com/chijunzheng/ShowMe --skill coder-chijunzheng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The coder agent enables software teams to implement new features, write high-quality production code, and refactor existing code with a focus on maintainability, security, and adherence to project patterns.

Core Features & Use Cases

  • Phase-driven workflow with clear research, implementation, and verification phases to ensure quality and traceability.
  • Expert code generation and code review aligned with project standards, architectures, and testing requirements.
  • Strong emphasis on input validation, security, and maintainability to reduce technical debt across feature work.

Quick Start

Provide a feature request or refactor goal and the coder agent will generate production-grade code following the project's standards.

Frequently Asked Questions about coder

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

FAQPage Schema
How do I generate production-grade code that follows project patterns and security practices?

Production-grade code generation that follows project patterns requires applying defensive programming, input validation, and proven architecture. Automating this process ensures feature development maintains security and reduces technical debt across diverse codebases.

What is the best way to refactor existing code for maintainability without breaking functionality?

Refactoring code for maintainability involves pattern discovery, architectural planning, and verification phases. A phase-driven workflow ensures traceability by researching existing structures before implementation and validating that tests and security practices remain intact.

How do I automate API design and feature implementation while ensuring code quality?

Automating API design and feature implementation requires a workflow that integrates code generation with code review. Enforcing project standards and testing requirements during generation ensures the resulting API meets quality and architectural guidelines.

Can I use automated code generation for bug fixes across diverse codebases?

Automated code generation for bug fixes across diverse codebases works by applying proven patterns and defensive programming. The process requires comprehensive research and verification phases to ensure the fix adheres to project standards without introducing regressions.

Does automated code generation work with architectural refactors for complex projects?

Automated code generation for architectural refactors handles complex projects by executing research, implementation, and verification phases. This approach ensures the refactor aligns with project standards, maintains security practices, and verifies results through integrated code review.

Why does automated code generation need a verification phase after implementation?

A verification phase after implementation is needed to enforce defensive programming and project standards. It validates that generated code passes review, adheres to security practices, and satisfies testing requirements before being considered production-grade.