ralph-init

Initialize Ralph workflow scaffolds with loop.sh, prompts, and specs directory.

Updated Mar 12, 2023
One-click install
npx skills add https://github.com/Bliz243/.dotfiles --skill ralph-init-bliz243
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralph-init
Source: https://github.com/Bliz243/.dotfiles/tree/main/.claude/skills/ralph-init
Command: npx skills add https://github.com/Bliz243/.dotfiles --skill ralph-init-bliz243

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Initialize a project with Ralph workflow structure (specs, prompts, loop script) to accelerate starting new AI-driven projects or integrating Ralph workflows into existing codebases.

Core Features & Use Cases

  • Scaffold root-level Ralph workflow components: loop.sh, PROMPT_plan.md, PROMPT_build.md, AGENTS.md, IMPLEMENTATION_PLAN.md, specs/
  • Standardize project layout for autonomous AI development using the Ralph loop methodology
  • Quick customization: edit specs, prompts, and AGENTS.md to tailor your workflow

Quick Start

Run Ralph init to scaffold the project at the repository root. Then customize specs in specs/ and adjust PROMPT_plan.md, PROMPT_build.md, AGENTS.md, and IMPLEMENTATION_PLAN.md as needed.

Frequently Asked Questions about ralph-init

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

FAQPage Schema
How do I scaffold an autonomous AI workflow for a new project?

The Ralph workflow methodology uses a loop-based development cycle with planning prompts and specs to guide autonomous AI. It scaffolds these components into your project root to standardize and accelerate AI-driven development.

What files do I need for a loop-based AI development cycle?

You can integrate the Ralph workflow into an existing codebase by initializing the scaffold at the repository root. It adds the specs, prompts, and loop script without overwriting your existing application logic.

Can I add autonomous AI specs and prompts to an existing codebase?

You customize the workflow by editing the generated specs in the specs/ directory and adjusting PROMPT_plan.md, PROMPT_build.md, AGENTS.md, and IMPLEMENTATION_PLAN.md. This tailors the autonomous loop to your project requirements.

Do I need any dependencies to set up a Ralph workflow scaffold?

The Ralph workflow scaffold differentiates itself by providing a standardized loop-based development cycle. It structures planning prompts and specs specifically for autonomous AI work rather than manual coding processes.

How do I customize AI planning prompts after initializing the project?

No external dependencies are required to scaffold the Ralph workflow. It independently generates the loop script, prompt files, and specs directory directly into your project root.