ralphinho-rfc-pipeline

Coordinate RFC-driven multi-agent orchestration to decompose features into verifiable work units.

1|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/ROLLED740/vibe-clone-pro --skill ralphinho-rfc-pipeline-rolled740
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ralphinho-rfc-pipeline
Source: https://github.com/ROLLED740/vibe-clone-pro/tree/main/.agent/skills/ralphinho-rfc-pipeline
Command: npx skills add https://github.com/ROLLED740/vibe-clone-pro --skill ralphinho-rfc-pipeline-rolled740

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams decompose large features into independently verifiable work units and orchestrate their execution with quality gates and a robust merge-queue workflow.

Core Features & Use Cases

  • RFC decomposition: Break large features into work units with dependencies
  • DAG-based orchestration: Manage execution order and parallelism
  • Quality gates & validation: Enforce checks before merging
  • Merge queue integration: Queue and track progress across units

Quick Start

Provide a feature RFC and allow the pipeline to decompose it into units, execute them, and validate results through quality gates.

Frequently Asked Questions about ralphinho-rfc-pipeline

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

FAQPage Schema
How do I break large product features into independently verifiable work units?▼

You can break large product features into independently verifiable work units by feeding a feature RFC into a pipeline that decomposes it. The pipeline tracks dependencies and maps execution order to validate each work unit independently.

What is DAG-based orchestration for multi-agent pipelines?▼

DAG-based orchestration manages execution order and parallelism across multi-agent pipelines by structuring tasks in a directed acyclic graph. It ensures dependencies are respected and work units execute in the correct sequence.

How do I enforce quality gates before merging work units in a pipeline?▼

You enforce quality gates before merging work units in a pipeline by applying validation checks that verify end-to-end completion. The pipeline queues and tracks progress across units, ensuring checks pass before merge-queue integration.

Can I use RFC decomposition for complex features requiring independent unit validation?▼

Yes, RFC decomposition is designed for complex product features requiring independent unit validation. It breaks down large features into work units with tracked dependencies and end-to-end verification through a structured quality pipeline.

What is the best way to orchestrate RFC-driven multi-agent execution across a DAG?▼

The best way to orchestrate RFC-driven multi-agent execution across a DAG is to use a structured pipeline that coordinates decomposition, execution order, and quality gates. This satisfies requirements for unit specification and dependency tracking.