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ralphinho-rfc-pipeline▌

affaan-m/everything-claude-code · updated Apr 8, 2026

$npx skills add https://github.com/affaan-m/everything-claude-code --skill ralphinho-rfc-pipeline
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 qu
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:

  • 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
general reviews

Ratings

4.5★★★★★10 reviews
  • ★★★★★Shikha Mishra· Oct 10, 2024

    ralphinho-rfc-pipeline is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Piyush G· Sep 9, 2024

    Keeps context tight: ralphinho-rfc-pipeline is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Chaitanya Patil· Aug 8, 2024

    Registry listing for ralphinho-rfc-pipeline matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Sakshi Patil· Jul 7, 2024

    ralphinho-rfc-pipeline reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Ganesh Mohane· Jun 6, 2024

    I recommend ralphinho-rfc-pipeline for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Oshnikdeep· May 5, 2024

    Useful defaults in ralphinho-rfc-pipeline — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Dhruvi Jain· Apr 4, 2024

    ralphinho-rfc-pipeline has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Rahul Santra· Mar 3, 2024

    Solid pick for teams standardizing on skills: ralphinho-rfc-pipeline is focused, and the summary matches what you get after install.

  • ★★★★★Pratham Ware· Feb 2, 2024

    We added ralphinho-rfc-pipeline from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Yash Thakker· Jan 1, 2024

    ralphinho-rfc-pipeline fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.