ralphinho-rfc-pipeline

Decompose RFC-specified features into work units for DAG-based multi-agent execution.

2|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/klu-dev/porting-ecc-to-vscode --skill ralphinho-rfc-pipeline-klu-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralphinho-rfc-pipeline
Source: https://github.com/klu-dev/porting-ecc-to-vscode/tree/main/.github/skills/ralphinho-rfc-pipeline
Command: npx skills add https://github.com/klu-dev/porting-ecc-to-vscode --skill ralphinho-rfc-pipeline-klu-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Ralphinho RFC Pipeline Skill Unit streamlines complex feature development by splitting work into manageable, verifiable units.

Core Features & Use Cases

  • RFC-driven Work Unit Splitting: Enables decomposing large features into smaller, independently testable units based on RFC (Request for Comments) specifications.
  • Multi-agent DAG Execution: Supports orchestrating tasks through a Directed Acyclic Graph (DAG), with automated execution based on dependency management.
  • Quality Assurance: Includes integration with quality gates to enforce code standards and tests during development.

Quick Start

Create an RFC for a feature and use the 'ralphinho-rfc-pipeline' skill to create and manage your work units.

Frequently Asked Questions about ralphinho-rfc-pipeline

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

FAQPage Schema
How does DAG orchestration manage multi-agent task execution?

DAG orchestration manages multi-agent task execution by coordinating tasks through a directed acyclic graph, automatically sequencing operations based on dependency resolution and integration testing.

What is RFC-driven feature development and how does it split work units?

RFC-driven feature development decomposes large features specified in Request for Comments documents into smaller, independently testable work units for orchestrated execution and validation.

How do I add quality assurance gates to a feature development pipeline?

Quality assurance gates are added to a feature development pipeline by enforcing code standards and automated tests during work unit execution, ensuring validation before merging downstream dependencies.

Can I orchestrate multi-agent execution for complex dependency handling?

Multi-agent execution orchestrates complex dependency handling by mapping tasks to a directed acyclic graph, automating execution order based on prerequisite work units and integration testing.

What is the best way to manage feature work units with merge queues?

Managing feature work units with merge queues involves decomposing RFC specifications into individual tasks, executing them via DAG orchestration, and validating through integrated quality gates.