---
title: "Agent Skill to Ralphinho Rfc Pipeline"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/skill-ralphinho-rfc-pipeline"
modality: "SKILL"
category: "Fullstack & Backend Engineering"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# Agent Skill to Ralphinho Rfc Pipeline

**Summary:** Agent Skill to Ralphinho Rfc Pipeline is a verified SKILL blueprint on Promptally in Fullstack & Backend Engineering optimized for leading AI models. Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | SKILL |
| Category | Fullstack & Backend Engineering |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 459 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

```md
---
name: ralphinho-rfc-pipeline
description: Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units.
metadata:
  origin: ECC
---

# Ralphinho RFC Pipeline

Inspired by [humanplane](https://github.com/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

```

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

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