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ralphinho-rfc-pipeline

Orchestrate RFC-driven feature development through DAG execution with quality gates.

1|Updated Mar 10, 2026
Search Tags:#orchestration#pipeline#quality gates#rfc#dag#merge queue
One-click install
npx skills add https://github.com/aleonsa/claude-config --skill ralphinho-rfc-pipeline
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ralphinho-rfc-pipeline
Source: https://github.com/aleonsa/claude-config/tree/main/claude/skills/ralphinho-rfc-pipeline
Command: npx skills add https://github.com/aleonsa/claude-config --skill ralphinho-rfc-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of managing large, complex features that cannot be implemented in a single pass by breaking them down into independently verifiable work units.

Core Features & Use Cases

  • RFC-driven Decomposition: Breaks down features into smaller, manageable tasks based on RFC patterns.
  • DAG Execution: Orchestrates the execution of these work units in a Directed Acyclic Graph, respecting dependencies.
  • Quality Gates & Merge Queues: Implements rigorous validation and controlled integration through merge queues.
  • Use Case: Implementing a new microservice with multiple interdependent components, requiring phased development, testing, and integration.

Quick Start

Use the ralphinho-rfc-pipeline skill to decompose and manage the implementation of a new user authentication module.

Frequently Asked Questions about ralphinho-rfc-pipeline

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

FAQPage Schema
How do I orchestrate complex feature development with a DAG execution pattern?▼

Complex feature orchestration uses an RFC-driven, multi-agent Directed Acyclic Graph to decompose features into manageable work units. It schedules execution respecting dependencies for robust integration of interdependent code modules.

What is the best way to break down large-scale features for phased implementation?▼

RFC-driven decomposition breaks down large features into smaller, manageable tasks based on RFC patterns. This creates structured work units for phased implementation across complex software projects.

How do I enforce quality gates and use a merge queue for controlled integration?▼

Quality gates enforce rigorous automated validation, while merge queues manage controlled integration of interdependent code modules. They ensure work units satisfy dependency requirements before merging into the main pipeline.

Does this pipeline orchestration support large-scale projects with interdependent components?▼

Pipeline orchestration supports large-scale software projects by applying a multi-agent DAG execution pattern. It satisfies requirements for robust dependency management and controlled integration of interdependent code modules.

When do I need a multi-agent DAG pipeline for software engineering tasks?▼

A multi-agent DAG pipeline is needed when implementing complex features that cannot be completed in a single pass, such as a new user authentication module requiring phased development, testing, and integration.

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