How does the prd.json file function in this skill?

The prd.json file acts as a machine-readable roadmap, defining the branch name, project context, and the ordered list of user stories with specific acceptance criteria for the AI to follow.

Does this skill support different programming frameworks?

Yes, it includes decomposition patterns for various domains including React components, API endpoints, database migrations, and general refactoring across any language.

What is the Ralph Wiggum Method?

It is a workflow pattern specifically designed for AI-assisted coding that breaks down complex features into tiny, 'atomic' stories that can each be completed in a single 5-30 minute iteration.

When is a story considered too big?

Under this method, any story estimated to take more than 30 minutes of work is considered too large and should be split into smaller, more granular sub-stories.

Why is the 'one story = one commit' rule important?

This ensures the codebase remains in a working state, makes code reviews simpler, and allows for precise rollbacks if an AI iteration fails to meet acceptance criteria.

Ralph Wiggum Method

Name: Ralph Wiggum Method
Author: dariuszparys

bydariuszparys

0•

生产力与工作流

Decomposes complex features into atomic user stories optimized for autonomous AI coding and single-iteration completion.

The Ralph Wiggum Method provides a structured framework for breaking down software development tasks into small, 'atomic' user stories that can be fully implemented, tested, and committed in a single AI coding iteration. By enforcing a strict 'one iteration, one story, one commit' rule, this skill helps developers and AI agents plan work systematically, manage dependencies, and ensure a stable codebase at every step. It is particularly effective for autonomous AI-assisted coding loops where reliability and verifiable 'done' criteria are essential for shipping features without manual intervention.

主要功能

01Strict story sizing guidelines to ensure tasks stay within 5-30 minute windows.

02Dependency-aware ordering to prioritize infrastructure before consumer logic.

03Atomic story decomposition patterns for APIs, databases, UI components, and refactors.

04Standardized commit message and verification command patterns for consistent history.

050 GitHub stars

06Standardized prd.json schema for project context and automated progress tracking.

使用场景

01Planning a complex feature for an autonomous AI agent to implement independently.

02Creating structured technical roadmaps that align with AI coding loop capabilities.

03Breaking down monolithic tasks into manageable, reviewable PRs for team collaboration.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dariuszparys/claude-code-toolkit skills

For use in Claude.ai and ChatGPT

Download Skill