zereight/gitlab-mcp

ralplan

Consensus planning with Planner/Architect/Critic iterative loop.

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使用方法

  1. 复制安装命令,在自己的智能体环境安装前先检查源码包。
  2. 从原始文档核对所需工具、凭据和支持的宿主。
  3. 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/zereight/gitlab-mcp --skill ralplan

开始前需了解

  • 安装不包含模型订阅、API 额度或访问文件的权限。
  • 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

Ralplan (Consensus Planning)

Shorthand for /plan --consensus. Triggers iterative planning with Planner, Architect, and Critic agents until consensus is reached.

Flags

  • --deliberate: Forces deliberate mode for high-risk work. Adds pre-mortem (3 scenarios) and expanded test planning.

Workflow

  1. @planner creates initial plan with RALPLAN-DR summary:
  • Principles (3-5)
  • Decision Drivers (top 3)
  • Viable Options (>=2) with pros/cons
  1. @architect reviews for architectural soundness
  2. @critic validates quality and testability
  3. Loop until critic approves (max 5 iterations)
  4. Final plan includes ADR (Decision, Drivers, Alternatives, Why chosen, Consequences)

Pre-Execution Gate

Vague execution requests (e.g., "ralph improve the app") are redirected through ralplan first to ensure explicit scope, testable criteria, and multi-agent consensus.

Passes gate (specific enough): prompts with file paths, function names, issue numbers, numbered steps, or acceptance criteria.

Gated (needs scoping): prompts with only vague descriptions and no concrete anchors.

After Approval

  • Execute via /team (parallel agents, recommended) or /ralph (sequential with verification)
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