What is the Ralphinho RFC Pipeline?

It is a specialized skill for Claude Code that uses an RFC (Request for Comments) model to break down large, complex development tasks into smaller, verifiable units of work organized in a Directed Acyclic Graph (DAG).

When should I use this skill instead of standard Claude Code commands?

You should use this skill when a feature is too large for a single agent pass, involves high-risk architectural changes, or requires a strict sequence of multi-file updates.

What happens if a development unit fails?

The system includes automated recovery protocols that can remove the stalled unit from the queue, snapshot findings, and re-generate a smaller, re-scoped unit with updated constraints.

How does it handle task dependencies?

The pipeline utilizes a merge queue and dependency tracking system that ensures no unit is merged until its required dependencies have passed all integration and quality tests.

Ralphinho RFC Pipeline

Name: Ralphinho RFC Pipeline
Author: affaan-m

byaffaan-m

•

137,500

•

コラボレーションツール

Orchestrates complex software development tasks using an RFC-driven multi-agent DAG execution model with integrated quality gates.

The Ralphinho RFC Pipeline is a sophisticated workflow management skill designed for Claude Code to handle large-scale features that exceed the capacity of single-pass AI agents. Inspired by humanplane-style decomposition, it breaks down complex requirements into a Directed Acyclic Graph (DAG) of independent, verifiable work units. This system ensures structural integrity through a rigorous pipeline featuring merge queues, automated dependency resolution, and multi-level quality checks, making it ideal for architectural changes, security updates, and multi-file refactors where precision and verification are paramount.

主な機能

01Multi-tier quality pipeline including research, planning, testing, and review stages.

02137,500 GitHub stars

03Complexity-aware orchestration ranging from atomic file edits to architectural changes.

04RFC-driven decomposition of complex features into manageable DAG work units.

05Automated recovery and re-scoping protocols for stalled or failed development units.

06Integrated merge queue with automated dependency resolution and rebase rules.

ユースケース

01Splitting monolithic feature requests into sequential, testable development tasks.

02Managing multi-file architectural refactors with strict dependency requirements.

03Coordinating collaborative AI agent workflows for production-grade code integration.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add affaan-m/everything-claude-code ralphinho-rfc-pipeline

For use in Claude.ai and ChatGPT

主な機能

01Multi-tier quality pipeline including research, planning, testing, and review stages.

02137,500 GitHub stars

03Complexity-aware orchestration ranging from atomic file edits to architectural changes.

04RFC-driven decomposition of complex features into manageable DAG work units.

05Automated recovery and re-scoping protocols for stalled or failed development units.

06Integrated merge queue with automated dependency resolution and rebase rules.

ユースケース

01Splitting monolithic feature requests into sequential, testable development tasks.

02Managing multi-file architectural refactors with strict dependency requirements.

03Coordinating collaborative AI agent workflows for production-grade code integration.