Create consensus plans for vague execution requests using a Planner-Architect-Critic loop.
npx skills add https://github.com/dropsyoon/oh-my-claudecode --skill ralplan-dropsyoon
Please help me install this Agent Skill. Skill: ralplan Source: https://github.com/dropsyoon/oh-my-claudecode/tree/main/skills/ralplan Command: npx skills add https://github.com/dropsyoon/oh-my-claudecode --skill ralplan-dropsyoon
Ralplan prevents underspecified or vague execution requests from wasting multi-agent cycles by forcing a consensus planning step before any real work starts.
Use ralplan to turn a vague build request into a vetted, executable plan by running: /oh-my-claudecode:ralplan "Implement authentication for the app with clear acceptance criteria and tests".
High-intent search queries and answers about installing and using this skill.
Consensus planning prevents vague software requests from wasting multi-agent execution cycles by establishing architectural soundness, risk awareness, and testable acceptance criteria before implementation begins. A Planner, Architect, and Critic loop validates scope and rationale prior to any code changes.
The best way to plan architectural soundness and test criteria before implementation is using a structured deliberation process that captures principles, decision drivers, and viable options with bounded tradeoffs to make scope explicit.
You can add risk mitigation and test planning to multi-agent orchestration workflows by enabling a deliberate high-risk mode that introduces pre-mortems, expands test coverage across unit and integration layers, and tightens critic rejection criteria.
Yes, you can require user approval and interactive checkpoints during agent workflow planning by enabling an interactive review gate that asks for feedback on draft plans before finalizing the execution handoff path.
You need consensus planning for iterative software changes when requests are underspecified and would otherwise waste cycles on scope discovery, whereas direct implementation suits only fully specified tasks with clear architectural parameters.
Multi-agent consensus planning hands off to execution skills automatically upon user approval, invoking team execution for parallel processing or ralph execution for sequential processing rather than implementing changes directly.
timbuchingerConvert vague requests into structured user stories with acceptance criteria or task lists.
hainamchungOrchestrate specialized Codex agents in parallel for complex coding tasks.
ozbyCoordinate multi-agent planning with Planner, Architect, and Critic roles to produce a consensus plan.
mingshi2333Orchestrate consensus-driven planning with Planner, Architect, and Critic passes.
