ralphinho-rfc-pipeline

Decompose large features into RFC-driven DAGs with quality gates and merge queues.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill ralphinho-rfc-pipeline-devs6186
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralphinho-rfc-pipeline
Source: https://github.com/devs6186/claude-private-skills-agents-commands/tree/main/skills/ralphinho-rfc-pipeline
Command: npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill ralphinho-rfc-pipeline-devs6186

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Large software features often span multiple teams and require staged development, verification, and safe integration. This skill provides an RFC-driven pattern to decompose work into independently verifiable units, enabling clear ownership, auditability, and reduced integration risk.

Core Features & Use Cases

  • RFC intake and DAG decomposition to break down work.
  • Unit assignment, implementation tracking, and validation.
  • Merge queue, integration, and final system verification for safe releases.
  • Use Case: When a feature is too large for a single pass, apply this workflow to produce a sequence of verified work units with defined dependencies.

Quick Start

Provide an RFC-driven decomposition plan for a feature into verifiable work units with quality gates and merge-queue rules.

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 down large software features into verifiable work units?

You can break down large features using RFC-driven multi-agent DAG decomposition, which splits work into independently verifiable units with defined dependency rules and staged quality gates to reduce integration risk.

What is the best way to orchestrate multi-agent workflows for complex feature delivery?

Multi-agent orchestration for complex features is managed through a directed acyclic graph (DAG) that assigns work units, tracks implementation, and enforces merge-queue policies for reliable and auditable integration.

How do merge queues ensure safe integration for multi-stage feature releases?

Merge queues ensure safe integration by applying staged verification and merge-queue policies, validating each work unit against dependency rules before allowing final system verification and release.

When should I use RFC-driven decomposition for software engineering projects?

RFC-driven decomposition should be used when a feature is too large for a single pass, requiring staged development across multiple teams with clear ownership, auditability, and reduced integration risk.

Can I apply quality gates to individual work units in a multi-agent pipeline?

Yes, quality gates are applied to individual work units within the multi-agent pipeline, ensuring each unit meets defined specifications and dependency rules before proceeding to merge-queue integration.

How does DAG decomposition handle dependencies between feature work units?

DAG decomposition handles dependencies by mapping work units to a directed acyclic graph, defining explicit dependency rules that dictate execution order and validation requirements for safe integration.