goal-plan

name goal-plan description Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning argument-hint <goal-description> allowed-tools mcp__plugin_ruflo-core_ruflo__task_create mcp__plugin_ruflo-core_ruflo__task_list mcp__plugin_ruflo-core_ruflo__task_status mcp__plugin_ruflo-core_ruflo__task_assign mcp__plugin_ruflo-core_ruflo__task_update mcp__plugin_ruflo-core_ruflo__task_complete mcp__plugin_ruflo-core_ruflo__task_summary mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__neural_predict mcp__plugin_ruflo-core_ruflo__workflow_create mcp__plugin_ruflo-core_ruflo__workflow_execute mcp__plugin_ruflo-core_ruflo__workflow_status mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-start mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-step mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-end Bash Read Write Edit Goal Plan Create and execute intelligent plans using Goal-Oriented Action Planning (GOAP). When to use When you have a complex objective that requires multiple steps, has dependencies between steps, and may need adaptive replanning as conditions change. Steps Define goal state — what does "done" look like? List concrete success criteria Assess current state — what's true now? What assets, code, infrastructure exist? Identify gap — what must change between current and goal state? Inventory actions — list available actions with: Preconditions (what must be true before this action) Effects (what becomes true after this action) Cost estimate (time, complexity, risk) Generate plan — find the optimal action sequence using A* through the state space Record trajectory — call mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-start to begin tracking Create tasks — call mcp__plugin_ruflo-core_ruflo__task_create for each action in the plan Execute — work through tasks in dependency order: Before each action: verify preconditions still hold After each action: verify effects achieved Record each step via mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-step Monitor & replan — if an action fails or produces unexpected results: Reassess current state Recalculate optimal path from new state Update remaining tasks Complete trajectory — call mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-end Store successful plan — call mcp__plugin_ruflo-core_ruflo__memory_store with namespace goap-plans Plan output format Goal: [concrete objective] Current State: [key facts] Plan Cost: [estimated effort] Steps: 1. [action] — precondition: [X], effect: [Y], cost: [Z] 2. [action] — precondition: [Y], effect: [W], cost: [Z] ... Risk Factors: [what could force a replan] Fallback: [alternative approach if primary path fails] Replanning triggers Action fails (precondition no longer met) Unexpected side effects detected New information changes goal definition Cost exceeds threshold External dependency becomes unavailable