ralphinho-rfc-pipeline

Orchestrate RFC-driven feature development as a DAG of work units.

Updated Mar 12, 2026

Search Tags:#orchestration #pipeline #quality gates #rfc #dag #merge queue

Ready to run

npx skills add https://github.com/ryasrk/AgentBrokeTheMatrix-CopilotVersion --skill ralphinho-rfc-pipeline-ryasrk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ralphinho-rfc-pipeline
Source: https://github.com/ryasrk/AgentBrokeTheMatrix-CopilotVersion/tree/main/.github/skills/ralphinho-rfc-pipeline
Command: npx skills add https://github.com/ryasrk/AgentBrokeTheMatrix-CopilotVersion --skill ralphinho-rfc-pipeline-ryasrk

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 agent pass by breaking them down into smaller, manageable, and independently verifiable work units.

Core Features & Use Cases

RFC-driven Decomposition: Breaks down large features into a Directed Acyclic Graph (DAG) of work units based on RFCs.
Automated Orchestration: Manages the execution pipeline, including unit assignment, implementation, validation, and integration.
Quality Gates & Merge Queues: Enforces quality checks and manages a merge queue for safe integration.
Use Case: Implementing a new microservice with multiple interdependent components, requiring phased development and rigorous testing.

Quick Start

Use the ralphinho-rfc-pipeline skill to decompose the feature 'Implement user authentication service' into a DAG of work units.

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 using an RFC-driven pipeline?▼

To orchestrate complex feature development using an RFC-driven pipeline, you submit a feature request like 'Implement user authentication service' to decompose it into a Directed Acyclic Graph (DAG) of work units. The pipeline then manages unit assignment, implementation, validation, and integration automatically.

When do I need a DAG execution pattern for software engineering tasks?▼

You need a DAG execution pattern for software engineering tasks when managing large, complex features that cannot be implemented in a single agent pass. This approach breaks features into smaller, manageable, and independently verifiable work units for phased development.

How to enforce quality gates and manage a merge queue for multi-agent pipelines?▼

To enforce quality gates and manage a merge queue for multi-agent pipelines, the orchestration pipeline applies automated checks during unit validation and integration stages. This ensures safe integration of interdependent components during large-scale software development.

What is the best way to decompose a microservice feature into independently verifiable work units?▼

The best way to decompose a microservice feature into independently verifiable work units is using an RFC-driven multi-agent pipeline. This breaks down interdependent components into a DAG, enabling phased development, rigorous testing, and automated unit validation.

Does this pipeline orchestration approach work for large-scale features requiring phased development?▼

Yes, this pipeline orchestration approach works for large-scale features requiring phased development by managing the execution pipeline from RFC intake to final system verification. It supports work unit orchestration and quality gates for complex features.

Why does complex feature development fail in a single agent pass and how does an RFC pipeline solve it?▼

Complex feature development fails in a single agent pass because the scope is too large for one execution. An RFC pipeline solves this by breaking down features into a DAG of smaller, manageable, and independently verifiable work units for automated orchestration.