How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/zereight/gitlab-mcp --skill ralplanBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
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
- @planner creates initial plan with RALPLAN-DR summary:
- Principles (3-5)
- Decision Drivers (top 3)
- Viable Options (>=2) with pros/cons
- @architect reviews for architectural soundness
- @critic validates quality and testability
- Loop until critic approves (max 5 iterations)
- 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)
