ralph

Automate long-running coding tasks through iterative PRD-driven development cycles.

14|2|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/kv0906/cc-skills --skill ralph-kv0906
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralph
Source: https://github.com/kv0906/cc-skills/tree/main/ralph
Command: npx skills add https://github.com/kv0906/cc-skills --skill ralph-kv0906

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates long-running coding tasks by running an AI agent in iterative loops, ensuring features are developed and tested systematically.

Core Features & Use Cases

  • Autonomous Development: AI agents work independently on coding tasks for hours or days.
  • PRD-Driven Workflow: Features are implemented based on a Product Requirements Document (PRD) with clear acceptance criteria.
  • CI Quality Gates: Every code commit must pass automated tests and type checks.
  • Use Case: Develop an entire MVP for a new web application overnight by defining user stories in a PRD and letting the Ralph skill execute the development loop.

Quick Start

Use the ralph skill to set up the autonomous coding infrastructure in your current project directory.

Frequently Asked Questions about ralph

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

FAQPage Schema
How do I automate long-running AI coding tasks for a new project?

You can automate long-running AI coding tasks by running an autonomous agent in iterative, clean-slate development cycles driven by a Product Requirements Document (PRD). The agent works independently for hours or days to implement features systematically.

How does a PRD-driven development loop ensure code quality in autonomous coding?

A PRD-driven development loop ensures code quality by enforcing continuous integration (CI) quality gates. Every automated code commit must pass automated tests and type-checking before being accepted, ensuring features meet clear acceptance criteria.

Can I use an autonomous AI agent to build an entire web application MVP overnight?

Yes, you can build an MVP overnight by defining user stories and acceptance criteria in a PRD. The autonomous AI agent executes the development loop, handling feature implementation and progress tracking autonomously while passing CI checks.

What is the best way to structure a PRD for an autonomous AI coding agent?

The best way to structure a PRD for an autonomous AI coding agent is to include clear acceptance criteria and specific user stories. This drives the iterative, clean-slate development cycles and ensures systematic feature implementation.

Does autonomous AI coding work without continuous integration checks?

Autonomous AI coding relies on continuous integration checks to ensure code quality. Every commit generated during the iterative development loop must pass automated tests and type-checking before proceeding, preventing unverified code from advancing.