zereight/gitlab-mcp

ralplan

Consensus planning with Planner/Architect/Critic iterative loop.

Ver código-fonte

Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/zereight/gitlab-mcp --skill ralplan

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

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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