What runtimes are required for Super-Ralph?

Super-Ralph requires Bun version 1.3 or higher and utilizes a jj-colocated git VCS for version control and state management.

Super-Ralph is a specialized skill for building multi-phase AI development pipelines that handle codebase reviews, ticket discovery, and parallel implementation.

Why should I avoid catch-all focuses?

Catch-all focuses like 'architecture' or 'general' lack directory constraints, causing agents to re-scan the entire repo and generate redundant, overlapping tickets.

How can I debug a stalled workflow run?

You can query the local SQLite database created by the workflow to check the run status, node progress, and detailed ticket-level breakdowns.

How does it prevent duplicate work?

It uses mandatory focusDirs and setupHints to scope agents to specific directories and explicitly inform them of completed tasks to avoid 'ticket explosion'.

Super-Ralph Multi-Agent Pipeline

Name: Super-Ralph Multi-Agent Pipeline
Author: enitrat

byenitrat

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Productivity & Workflow

Orchestrates multi-phase, ticket-driven AI development pipelines using the Smithers workflow engine to automate reviews and TDD implementation.

Super-Ralph is a sophisticated development orchestration skill that enables Claude to manage complex, multi-agent cycles through the Smithers workflow engine. It transforms high-level repository goals into a structured pipeline covering codebase reviews, ticket discovery, parallel TDD implementation, and merge queues. By enforcing directory-scoped focuses and mandatory setup hints, it solves the common 'ticket explosion' problem where agents duplicate work, ensuring highly efficient, resumable development runs backed by SQLite state management.

Key Features

01Interactive configuration validation via AskUserQuestion gates

0212 GitHub stars

03Ticket-driven multi-agent orchestration for end-to-end development

04Directory-scoped codebase reviews to prevent redundant AI tasks

05Resumable pipeline state management using SQLite

06Parallel TDD implementation with automated testing and merge queues

Use Cases

01Coordinating parallel development tasks while maintaining strict architectural boundaries

02Scaling complex feature implementations across large, multi-directory repositories

03Automating technical debt reduction through systematic codebase reviews and ticketed fixes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add enitrat/skill-issue super-ralph

For use in Claude.ai and ChatGPT