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.