One-click install
npx skills add https://github.com/marcusgoll/deep-loop-plugin --skill start-ralph
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: start-ralph
Source: https://github.com/marcusgoll/deep-loop-plugin/tree/main/skills/start-ralph
Command: npx skills add https://github.com/marcusgoll/deep-loop-plugin --skill start-ralph

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually breaking down large product requirements into actionable tasks and overseeing their implementation over extended periods is time-consuming and prone to oversight. This Skill eliminates that manual overhead by automating PRD parsing, task execution, and progress tracking for unattended workflows.

Core Features & Use Cases

  • Automated PRD Backlog Creation: Parses user-provided requirement descriptions into discrete, testable tasks with clear acceptance criteria, stored in a structured .deep/prd.json file.
  • Autonomous Task Execution: Spawns internal Task agents to implement each task, run verification (tests, lint, types), and commit changes without requiring user intervention.
  • Use Case: Ideal for developers or product teams that need to ship full features (such as a complete user authentication system) overnight without manually overseeing every implementation step.

Quick Start

Use the start-ralph skill to process the PRD for building a user authentication system with login, logout, and session management.

Frequently Asked Questions about start-ralph

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

FAQPage Schema
How do I automate PRD processing for long-running development tasks?

Automated PRD processing parses requirement documents into discrete testable tasks and executes them autonomously without constant user oversight. It spawns internal Task agents to implement features, run verification checks, and commit changes for unattended workflows.

What is the best way to execute overnight feature implementation autonomously?

Overnight feature implementation is handled by spawning internal agents that execute decomposed tasks, run tests and linting, and commit code changes automatically. This allows developers to ship complete features like user authentication systems without manual oversight.

Can I use autonomous development orchestration for multi-agent workflows?

Autonomous development orchestration supports multi-agent tasks by applying crash-recoverable orchestration to development workstreams. It structures task tracking and automated verification to ensure long-running background workflows complete without manual intervention.

Does background workflow execution provide crash recovery for development workstreams?

Background workflow execution provides crash-recoverable orchestration by storing parsed tasks in a structured file with clear acceptance criteria. This ensures structured task tracking and automated verification can resume unattended multi-step workflows if interruptions occur.

What are the limitations of autonomous PRD parsing for unattended workflows?

Autonomous PRD parsing requires a user-provided requirement description to decompose into discrete testable tasks. It is limited to structured task tracking and automated verification, meaning poorly defined requirements will result in inadequate task decomposition.