ralphinho-rfc-pipeline

Decomposes RFCs into Directed Acyclic Graph-based work units with quality gates and merge queue orchestration for software features.

3|1|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/oabdelmaksoud/AGI-FARM-PLUGIN --skill ralphinho-rfc-pipeline-oabdelmaksoud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralphinho-rfc-pipeline
Source: https://github.com/oabdelmaksoud/AGI-FARM-PLUGIN/tree/main/ecc-resources/skills/ralphinho-rfc-pipeline
Command: npx skills add https://github.com/oabdelmaksoud/AGI-FARM-PLUGIN --skill ralphinho-rfc-pipeline-oabdelmaksoud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of managing large, complex features that cannot be completed by a single agent in one go, ensuring robust development through a structured, multi-stage pipeline.

Core Features & Use Cases

  • RFC-driven Decomposition: Breaks down large features into manageable, independently verifiable work units based on RFCs.
  • Quality Gates & Validation: Implements rigorous checks at each stage, from unit implementation to final system verification.
  • Merge Queue Management: Ensures smooth integration by enforcing rules for dependencies and testing.
  • Use Case: Developing a new core feature for a large software project that requires significant architectural changes and involves multiple developers. This skill can manage the decomposition, implementation, and integration of sub-tasks, ensuring quality and stability.

Quick Start

Use the ralphinho-rfc-pipeline skill to decompose the RFC document 'feature-x-rfc.md' into a series of work units.

Frequently Asked Questions about ralphinho-rfc-pipeline

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

FAQPage Schema
How do I decompose a complex software feature into a DAG of manageable work units?

Decomposing a complex software feature into a DAG involves breaking down an RFC document into independently verifiable work units with defined dependencies. This pipeline manages the execution of multi-agent tasks by structuring them as a Directed Acyclic Graph to ensure robust development.

What is RFC-driven decomposition and when do I need it for large-scale software development?

RFC-driven decomposition is the process of translating RFC documents into manageable, independently verifiable work units. You need it when managing large, complex features that cannot be completed by a single agent in one go, ensuring robust development through a structured, multi-stage pipeline.

How do I enforce quality gates and validation checks during multi-agent task orchestration?

Enforcing quality gates during multi-agent task orchestration requires implementing rigorous checks at each stage, from unit implementation to final system verification. This skill enforces quality pipelines including research, implementation, testing, and review for each work unit.

Can I use a merge queue to orchestrate dependencies and testing for architectural changes?

Yes, you can use a merge queue to orchestrate dependencies and testing for architectural changes. This skill ensures smooth integration by enforcing rules for dependencies and testing during the merge queue management process, maintaining stability for large-scale features.

What is the best way to manage large features that cannot be completed by a single agent in one go?

The best way to manage large features that exceed a single agent's capacity is using a structured pipeline that decomposes tasks into a DAG with defined dependencies and quality gates. This approach facilitates unit validation and merge queue orchestration for system verification.