Ralph Loop

Automate GitHub issue development from TDD implementation to pull request creation.

1|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/LSailer/Master-Thesis-3D-VLA --skill ralph-loop-lsailer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Ralph Loop
Source: https://github.com/LSailer/Master-Thesis-3D-VLA/tree/main/.claude/skills/ralph-loop
Command: npx skills add https://github.com/LSailer/Master-Thesis-3D-VLA --skill ralph-loop-lsailer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the entire process of picking up development tasks from an issue tracker, implementing them using Test-Driven Development (TDD), and creating pull requests for review, thereby streamlining the software development workflow.

Core Features & Use Cases

  • Automated Task Management: Scans for and selects ready or in-progress development tasks.
  • TDD Implementation: Executes a red-green-refactor cycle for each task, ensuring code quality.
  • Automated PR Creation: Generates pull requests with relevant details upon task completion.
  • Use Case: A developer can initiate this Skill to have it autonomously tackle a backlog of GitHub issues, write tests, implement the code, and submit pull requests, freeing up developer time for more complex problem-solving.

Quick Start

Initiate the autonomous development loop by running the ralph-loop skill.

Frequently Asked Questions about Ralph Loop

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

FAQPage Schema
How do I automate GitHub issue resolution with TDD and pull requests?

You can automate GitHub issue resolution by running an autonomous development loop that selects tasks, executes TDD, and creates pull requests. This Skill scans issue tracking boards, implements code through red-green-refactor cycles, and submits pull requests automatically.

What is automated TDD implementation for developer workflows?

Automated TDD implementation executes the red-green-refactor cycle for development tasks without manual intervention. This Skill manages the entire process, from selecting ready issues to writing tests and code, ensuring quality standards are met before generating a pull request.

Can I use GitHub Actions to autonomously create pull requests from issue tracking?

Yes, you can automate pull request creation from issue tracking tasks. This Skill handles Git operations and worktree management, implementing issue requirements via TDD and generating pull requests with relevant details upon task completion.

How do I manage Git worktrees for autonomous agentic development?

Managing Git worktrees for autonomous development is handled automatically by this Skill during task execution. It creates and manages worktrees to isolate development branches, performs Git operations, and updates issue tracking boards as tasks progress.

Does autonomous TDD implementation work with existing continuous integration pipelines?

Autonomous TDD implementation satisfies requirements for continuous integration and automated code delivery pipelines. By generating tested code and pull requests from issues, it integrates seamlessly with existing CI/CD workflows to streamline software delivery.

When should I avoid automating pull request creation for issue resolution?

You should avoid automating pull request creation for complex problem-solving tasks requiring human intervention. This Skill is best suited for tackling backlogs of well-defined GitHub issues where TDD can be applied autonomously, freeing developer time for more nuanced work.