Does this skill support security and schema changes?

Yes, it includes Tier 3 complexity handling specifically for high-risk changes like schema updates, authentication, and security modifications with dedicated quality gates.

How does this skill handle task dependencies?

It uses a Directed Acyclic Graph (DAG) to track unit dependencies, ensuring that code is only merged once all prerequisites are validated and integration tests pass.

What is an RFC-driven pipeline in Claude Code?

It is a workflow where large features are first defined in a Request for Comments (RFC) format, then automatically decomposed into smaller, manageable work units for implementation and verification.

What happens if a specific task unit stalls or fails?

The skill includes a recovery protocol that evicts the stalled unit from the queue, snapshots findings, narrows the scope, and retries the task with updated constraints.

Ralphinho RFC Pipeline

Name: Ralphinho RFC Pipeline
Author: saar120

bysaar120

0•

Productivity & Workflow

Automates complex multi-agent workflows by decomposing large features into independently verifiable work units with strict quality gates and merge orchestration.

The Ralphinho RFC Pipeline is a sophisticated orchestration skill designed for large-scale software development tasks that exceed the capacity of a single agent pass. By utilizing an RFC-driven approach and Directed Acyclic Graph (DAG) decomposition, it organizes work into granular units with specific scopes, acceptance tests, and risk assessments. This skill manages the entire development lifecycle—from initial research and implementation planning to automated merge queue management—ensuring that complex features are integrated reliably with minimized risk and high-quality verification.

Key Features

01Standardized unit spec templates with built-in rollback plans and risk levels

020 GitHub stars

03Intelligent merge queue orchestration with dependency-aware rebase logic

04RFC-driven task decomposition using multi-agent DAG execution patterns

05Automated quality pipeline including research, testing, and merge-ready reporting

06Tiered complexity classification for targeted risk management and security

Use Cases

01Managing large-scale feature implementations that require multi-file coordination

02Orchestrating complex architectural refactors involving schema or auth changes

03Automating multi-agent development cycles for mission-critical work units

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add saar120/skillgate-registry ralphinho-rfc-pipeline

For use in Claude.ai and ChatGPT

Key Features

01Standardized unit spec templates with built-in rollback plans and risk levels

020 GitHub stars

03Intelligent merge queue orchestration with dependency-aware rebase logic

04RFC-driven task decomposition using multi-agent DAG execution patterns

05Automated quality pipeline including research, testing, and merge-ready reporting

06Tiered complexity classification for targeted risk management and security

Use Cases

01Managing large-scale feature implementations that require multi-file coordination

02Orchestrating complex architectural refactors involving schema or auth changes

03Automating multi-agent development cycles for mission-critical work units

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add saar120/skillgate-registry ralphinho-rfc-pipeline

For use in Claude.ai and ChatGPT