ralph-go

Execute coding tasks iteratively via Ralph from a plan.md file.

Updated Mar 2, 2026
One-click install
npx skills add https://github.com/buihuuloc/universal-ue-skills --skill ralph-go
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralph-go
Source: https://github.com/buihuuloc/universal-ue-skills/tree/main/skills/ralph-go
Command: npx skills add https://github.com/buihuuloc/universal-ue-skills --skill ralph-go

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the iterative process of completing coding tasks by running an autonomous agent, Ralph, to execute tasks defined in .ralph/<id>/plan.md.

Core Features & Use Cases

  • Autonomous Task Execution: Ralph works iteratively through a defined plan, making code changes, running tests, and recording progress.
  • Error Handling & Iteration: The Skill manages task iterations, logs errors, and stops when a task is complete or reaches a maximum number of attempts.
  • Use Case: When you need to implement a new feature or fix a bug that requires multiple steps of coding, testing, and refinement, you can delegate it to Ralph.

Quick Start

Use the ralph-go skill to start the autonomous coding loop for task ID 1.

Frequently Asked Questions about ralph-go

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

FAQPage Schema
How does an autonomous coding agent execute iterative development tasks?

An autonomous coding agent executes iterative development by working through a predefined plan, making code changes, running test commands for verification, and tracking progress until the task is complete or iteration limits are reached.

How do I automate bug fixing and feature implementation across multiple coding steps?

You can automate multi-step bug fixing and feature implementation by delegating the iterative process to an autonomous agent that manages task execution, verifies code changes via test commands, and logs errors within a defined directory structure.

What problem does autonomous task execution solve for software engineering?

Autonomous task execution solves the repetitive manual effort of software engineering by automating the cycle of coding, testing, and refinement, allowing developers to delegate complex features or bug fixes to an iterative agent.

Do I need a predefined plan to start autonomous coding?

Yes, you need a predefined plan stored in a specific directory structure to start autonomous coding, which the agent uses to iteratively execute tasks, make code changes, and verify progress.

What happens when an autonomous coding agent reaches maximum iterations?

When an autonomous coding agent reaches the maximum number of attempts during iterative development, it stops task execution, logs any existing errors, and halts the loop to prevent infinite cycles.

How does iterative development handle error logging during task execution?

Iterative development handles error logging by managing task iterations throughout the coding loop, recording errors encountered during code generation and test execution, and stopping when the task is complete.