R
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。
安装方式
npx skills add affaan-m/everything-claude-code --skill ralphinho-rfc-pipelinecompare_arrows
Before / After 效果对比
1 组使用前
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
- RFC intake
- DAG decomposition
- Unit assignment
- Unit implementation
- Unit validation
- Merge queue and integration
- Final system verification
Unit Spec Template
Each work unit should include:
iddepends_onscopeacceptance_testsrisk_levelrollback_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
- research
- implementation plan
- implementation
- tests
- review
- 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
用户评价 (0)
发表评价
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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