ralphinho-rfc-pipeline

RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.

16 stars

Best use case

ralphinho-rfc-pipeline is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.

Teams using ralphinho-rfc-pipeline should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ralphinho-rfc-pipeline/SKILL.md --create-dirs "https://raw.githubusercontent.com/Jamkris/everything-gemini-code/main/skills/ralphinho-rfc-pipeline/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ralphinho-rfc-pipeline/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How ralphinho-rfc-pipeline Compares

Feature / Agentralphinho-rfc-pipelineStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

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