ralphton

Orchestrate end-to-end project delivery with a contract-first multi-agent workflow.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/leessju/claude-skills --skill ralphton
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralphton
Source: https://github.com/leessju/claude-skills/tree/main/ralphton
Command: npx skills add https://github.com/leessju/claude-skills --skill ralphton

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Ralphton enables autonomous, end-to-end project delivery—from backend to frontend to deployment—delivering a fully working system without requiring iterative prompts. It reduces scope drift and manual orchestration, ensuring projects like full-stack apps, SaaS platforms, ETL pipelines, and migrations complete in a single, cohesive flow.

Core Features & Use Cases

  • Contract-first task framing and gate-based interviews to eliminate ambiguity and misalignment.
  • 2-Wave execution: backend-first work followed by frontend/mobile integration to minimize protocol mismatch.
  • Phase-driven execution with Phase 0 through Phase 4, including rigorous verification and ultra QA.
  • Automated validation pipeline: stub detection, source-vs-source comparisons, visual regression checks, and end-to-end flow validation.
  • Real-world use cases include building full-stack SaaS, data pipelines, and large-scale migrations or hackathon-scale builds in a single operation.

Quick Start

Kick off with the Gate interview, then run Phase 0 through Phase 4 sequentially until a fully verified production-ready system is delivered.

Frequently Asked Questions about ralphton

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

FAQPage Schema
How do I automate full-stack project delivery from backend to deployment in a single operation?

Autonomous end-to-end project delivery is achieved through a contract-first, multi-agent workflow that executes backend, frontend, migrations, and deployment sequentially in a single cohesive flow. This minimizes scope drift and manual orchestration.

What is contract-first task framing in multi-agent orchestration?

Contract-first task framing uses gate-based interviews to eliminate ambiguity and misalignment before execution. It ensures multi-agent orchestration operates with strict phase alignment, reducing protocol mismatch between backend and frontend.

How do I perform visual regression checks and stub detection during automated project generation?

Automated validation pipelines execute stub detection, source-vs-source comparisons, visual regression checks, and end-to-end flow validation during Phase 4. This robust verification ensures the production-ready system has no incomplete implementations.

Can I use automated orchestration to build full-stack SaaS platforms and ETL pipelines without iterative prompting?

Yes, 2-Wave execution completes full-stack SaaS platforms, data pipelines, and large-scale migrations without iterative prompting. Backend-first work is followed by frontend integration, delivering a fully working system in one operation.

What are the limitations of using a phase-driven execution workflow for project delivery?

Phase-driven execution requires completing Phase 0 through Phase 4 sequentially, meaning intermediate manual intervention pauses the flow. While auto-retry handles errors, skipping phases breaks the rigorous verification and ultra QA needed for production readiness.

Why does multi-agent orchestration use a 2-Wave execution sequence for full-stack applications?

2-Wave execution sequences backend-first work followed by frontend mobile integration to minimize protocol mismatch. This phase-driven approach ensures the multi-agent workflow reduces ambiguity and delivers a cohesive production-ready system.