Does it include testing?

Absolutely. The autonomous loop includes writing unit, integration, and E2E tests to ensure every feature is verified before moving to the next task.

Can I pause and resume a session?

Yes, state is stored in a local JSON file within your project, allowing you to stop the process and resume exactly where you left off using the run command.

What is Marathon Ralph?

Marathon Ralph is a Claude Code skill that enables long-running, autonomous development sessions based on a project specification file.

How does it track progress?

The skill integrates with Linear MCP to create a project and individual issues, marking them as complete as the AI verifies the implementation.

Does it require specific tools?

Yes, you must have the Linear MCP configured and authenticated to allow Marathon Ralph to manage the task lifecycle.

Marathon Ralph Autonomous Dev

Name: Marathon Ralph Autonomous Dev
Author: gruckion

bygruckion

Productivity & Workflow

Automates the end-to-end development cycle by transforming specification files into fully tested applications through continuous, autonomous coding sessions.

About

Marathon Ralph is a specialized skill designed for high-autonomy development, allowing Claude to work systematically through a project specification. By integrating with Linear MCP, it decomposes specs into actionable issues, then executes a rigorous cycle of planning, coding, testing, and verification. It is ideal for developers who want to delegate repetitive implementation tasks or build entire applications from scratch while maintaining oversight through structured progress tracking and state management that persists across multiple sessions.

Key Features

Systematic development loop including planning, coding, and multi-layer testing
0 GitHub stars
Session persistence with local state tracking for long-running projects
End-to-end (E2E) test generation for web-based projects
Autonomous issue creation and management via Linear MCP integration
Automated codebase health checks including linting and type verification

Use Cases

Executing a backlog of features autonomously while maintaining high test coverage
Building a complete MVP or boilerplate application from a single specification file
Automating the migration or refactoring of large codebases through issue-by-issue verification

About

Key Features

Systematic development loop including planning, coding, and multi-layer testing
0 GitHub stars
Session persistence with local state tracking for long-running projects
End-to-end (E2E) test generation for web-based projects
Autonomous issue creation and management via Linear MCP integration
Automated codebase health checks including linting and type verification

Use Cases

Executing a backlog of features autonomously while maintaining high test coverage
Building a complete MVP or boilerplate application from a single specification file
Automating the migration or refactoring of large codebases through issue-by-issue verification