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ralphinho-rfc-pipeline

by @affaan-mv
4.4(44)

基于RFC驱动的多智能体DAG执行模式,确保AI任务流程的质量保障和高效协作。

rfc-processtechnical-documentationsoftware-architecturedesign-documentsversion-controlGitHub
安装方式
npx skills add affaan-m/everything-claude-code --skill ralphinho-rfc-pipeline
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Before / After 效果对比

1
使用前

在没有结构化框架的情况下,管理大型功能开发或复杂任务的多代理协作工作流,可能导致任务分解不清晰、质量门禁缺失、合并冲突频繁和工作单元协调困难,严重影响项目进度和交付质量。

使用后

通过 Ralphinho RFC Pipeline 技能,实现了 RFC 驱动的多代理 DAG 执行模式,集成了质量门禁、合并队列和工作单元编排,显著提升了复杂工作流的执行效率、质量控制和协作顺畅度。

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

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统计数据

安装量3.7K
评分4.4 / 5.0
版本
更新日期2026年5月22日
对比案例1 组

用户评分

4.4(44)
5
27%
4
50%
3
20%
2
2%
1
0%

为此 Skill 评分

0.0

兼容平台

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

时间线

创建2026年3月16日
最后更新2026年5月22日