ralphinho-rfc-pipeline

Installation
Summary

Multi-agent DAG execution framework for decomposing large features into independently verifiable work units with quality gates.

  • Structures complex features as directed acyclic graphs with explicit dependencies, complexity tiers (isolated edits to schema/security changes), and per-unit acceptance criteria
  • Enforces a seven-stage pipeline: RFC intake, DAG decomposition, unit assignment, implementation, validation, merge queue processing, and final system verification
  • Implements merge queue rules preventing dependency failures, enforcing rebasing on the integration branch, and re-running tests after each merge
  • Includes recovery mechanisms for stalled units: eviction, findings snapshot, scope regeneration, and retry with updated constraints
  • Produces RFC execution logs, unit scorecards, dependency graphs, and integration risk summaries for visibility across the orchestration workflow
SKILL.md

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:

Related skills
Installs
3.1K
GitHub Stars
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First Seen
Mar 5, 2026