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ralphinho-rfc-pipeline — what is ralphinho-rfc-pipeline what is ralphinho-rfc-pipeline, how to use ralphinho-rfc-pipeline for DAG execution, ralphinho-rfc-pipeline vs humanplane, RFC multi-agent DAG pattern, ralphinho-rfc-pipeline install, ralphinho-rfc-pipeline setup guide, AI agent merge queue implementation, work unit orchestration with quality gates

Verified
v1.0.0
GitHub

About this Skill

Ideal for Complex Task Agents requiring multi-agent DAG execution and quality gate management ralphinho-rfc-pipeline is an AI agent skill that implements an RFC-driven multi-agent DAG execution pattern. It breaks down large features into smaller, managed work units, orchestrating them through stages including decomposition, unit assignment, implementation, validation, and integration via a merge queue.

Features

RFC intake for initial feature specification and requirements gathering
DAG decomposition to break down features into a graph of dependent work units
Unit assignment for distributing work units to individual AI agents
Unit validation as a quality gate for each independently verifiable work unit
Merge queue and integration stage for combining validated units
Final system verification to ensure the complete integrated feature meets requirements

# Core Topics

affaan-m affaan-m
[62.0k]
[7678]
Updated: 3/6/2026

Quality Score

Top 5%
76
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add affaan-m/everything-claude-code/ralphinho-rfc-pipeline

Agent Capability Analysis

The ralphinho-rfc-pipeline MCP Server by affaan-m is an open-source Categories.official integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for what is ralphinho-rfc-pipeline, how to use ralphinho-rfc-pipeline for DAG execution, ralphinho-rfc-pipeline vs humanplane.

Ideal Agent Persona

Ideal for Complex Task Agents requiring multi-agent DAG execution and quality gate management

Core Value

Empowers agents to execute RFC-driven workflows with merge queues, unit orchestration, and final system verification using DAG decomposition and unit assignment, enabling seamless integration of independently verifiable work units

Capabilities Granted for ralphinho-rfc-pipeline MCP Server

Decomposing large features into manageable work units
Orchestrating multi-unit workflows with quality gates and merge queues
Validating and integrating independently developed work units

! Prerequisites & Limits

  • Requires feature decomposition into independently verifiable work units
  • Dependent on RFC-driven workflow management
Project
SKILL.md
1.3 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8
SKILL.md
Readonly

Ralphinho RFC Pipeline

Inspired by humanplane style RFC decomposition patterns and multi-unit orchestration workflows.

Use this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units.

Pipeline Stages

  1. RFC intake
  2. DAG decomposition
  3. Unit assignment
  4. Unit implementation
  5. Unit validation
  6. Merge queue and integration
  7. Final system verification

Unit Spec Template

Each work unit should include:

  • id
  • depends_on
  • scope
  • acceptance_tests
  • risk_level
  • rollback_plan

Complexity Tiers

  • Tier 1: isolated file edits, deterministic tests
  • Tier 2: multi-file behavior changes, moderate integration risk
  • Tier 3: schema/auth/perf/security changes

Quality Pipeline per Unit

  1. research
  2. implementation plan
  3. implementation
  4. tests
  5. review
  6. merge-ready report

Merge Queue Rules

  • Never merge a unit with unresolved dependency failures.
  • Always rebase unit branches on latest integration branch.
  • Re-run integration tests after each queued merge.

Recovery

If a unit stalls:

  • evict from active queue
  • snapshot findings
  • regenerate narrowed unit scope
  • retry with updated constraints

Outputs

  • RFC execution log
  • unit scorecards
  • dependency graph snapshot
  • integration risk summary

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