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

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137,500

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Collaboration Tools

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.

Key Features

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.

Use Cases

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

Key Features

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.

Use Cases

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.