What quality controls are included in the pipeline?

Each unit follows a strict six-step quality pipeline: Research, Implementation Planning, Implementation, Testing, Review, and a Merge Readiness Report.

How does the merge queue handle failures?

The skill enforces a rule to never merge units with failed dependencies and requires a rebase onto the integration branch followed by a fresh test run before merging.

How does the DAG decomposition work?

The pipeline analyzes the RFC and creates a Directed Acyclic Graph that maps out task dependencies, ensuring units are implemented and integrated in the correct logical order.

When should I use the Ralphinho RFC Pipeline?

Use this skill when a feature or bug fix is too large for a single agent pass and must be broken down into smaller, independent, and verifiable work units.

Ralphinho RFC Pipeline

Name: Ralphinho RFC Pipeline
Author: oabdelmaksoud

byoabdelmaksoud

0•

협업 도구

Orchestrates complex software development tasks using an RFC-driven multi-agent workflow with DAG decomposition and quality gates.

Ralphinho RFC Pipeline is a sophisticated workflow engine designed for Claude Code to handle large-scale features that exceed the capacity of a single agent interaction. By breaking down complex requirements into independent, verifiable work units through a Directed Acyclic Graph (DAG) structure, it ensures systematic implementation, rigorous quality control, and safe integration. The skill manages the entire lifecycle from RFC ingestion to final system verification, making it indispensable for engineering teams tackling high-risk architectural changes or expansive codebase updates where reliability is paramount.

주요 기능

01Dynamic recovery mechanisms for stalled units via snapshotting and scoping

02Standardized unit specifications with risk assessment and rollback plans

03Automated merge queue management with strict dependency resolution

04Multi-stage quality pipeline including research, planning, and verification

05RFC-based task decomposition using Directed Acyclic Graphs (DAG)

060 GitHub stars

사용 사례

01Orchestrating high-risk updates involving authentication, security, or performance

02Implementing large-scale architectural changes requiring multi-file synchronization

03Managing complex feature rollouts that must be split into independent sub-tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/agention ralphinho-rfc-pipeline

For use in Claude.ai and ChatGPT

주요 기능

01Dynamic recovery mechanisms for stalled units via snapshotting and scoping

02Standardized unit specifications with risk assessment and rollback plans

03Automated merge queue management with strict dependency resolution

04Multi-stage quality pipeline including research, planning, and verification

05RFC-based task decomposition using Directed Acyclic Graphs (DAG)

060 GitHub stars

사용 사례

01Orchestrating high-risk updates involving authentication, security, or performance

02Implementing large-scale architectural changes requiring multi-file synchronization

03Managing complex feature rollouts that must be split into independent sub-tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/agention ralphinho-rfc-pipeline

For use in Claude.ai and ChatGPT