Coder Agent

Implement GitHub issue specifications into code with tests and commits.

Updated Feb 25, 2026

Search Tags:#automation #git #testing #development #coding #feature implementation

Ready to run

npx skills add https://github.com/deanobalino/higgins --skill coder-agent

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Coder Agent
Source: https://github.com/deanobalino/higgins/tree/main/.higgins/agents/coder
Command: npx skills add https://github.com/deanobalino/higgins --skill coder-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the process of implementing features based on specifications, writing code, running tests, and committing changes, streamlining the development workflow.

Core Features & Use Cases

Feature Implementation: Translates issue specifications into functional code.
Automated Testing: Ensures code quality and stability by running tests.
Commit Management: Creates well-formatted commits referencing issue numbers.
Use Case: When a new feature request is assigned, the Coder Agent can read the requirements, write the necessary code, test it, and prepare it for review, significantly reducing the time to market.

Quick Start

Use the Coder Agent to implement the feature described in the current issue and prepare it for a pull request.

Frequently Asked Questions about Coder Agent

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

FAQPage Schema

How do I automate feature implementation from GitHub issue specifications?▼

You can automate feature implementation by using an agent that reads GitHub issue specifications, writes the required functional code, runs unit tests, and generates Git commits referencing the issue number. This streamlines the development workflow from requirement to pull request preparation.

How does automated unit testing integrate into a code generation workflow?▼

Automated unit testing in a code generation workflow executes test suites immediately after writing functional code to verify stability and quality. The agent runs the tests, validates adherence to testing protocols, and ensures the new feature implementation passes before proceeding to commit generation.

Can I use an AI agent to write code and manage Git commits for new features?▼

Yes, you can use an AI agent to write code and manage Git commits. The agent translates issue specifications into functional code, then creates well-formatted commits that reference the original issue numbers, adhering to Git best practices for efficient software delivery.

What is the best way to prepare a feature for a pull request after writing code?▼

The best way to prepare a feature for a pull request is to execute code development, run unit tests to ensure quality, and generate well-formatted Git commits referencing the issue number. This ensures the implementation meets coding standards and is ready for review.

Do I need to provide specific coding standards for automated code generation?▼

Yes, you need to provide specific coding standards, testing protocols, and Git best practices. The automated code generation process requires adherence to these established standards to ensure efficient software delivery and maintain code quality and stability throughout the development workflow.

Why use an automated agent for feature implementation instead of manual coding?▼

Using an automated agent for feature implementation reduces time to market by streamlining the development workflow. It reads requirements, writes functional code, executes automated testing, and prepares commits, eliminating repetitive manual steps while maintaining adherence to coding standards and testing protocols.