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goal-plan

Turn a complex goal into an executable plan by checking each action’s requirements, expected results, and estimated effort. Tracks dependent tasks, verifies outcomes, and revises the remaining plan when conditions change or actions fail.

OriginalShow the original description

Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning

See how to install

Good for

  • Breaking a complex goal into actionable steps
  • Planning tasks with dependencies and prerequisites
  • Revising a plan after failures or changing conditions
  • Saving successful plans for future reference

Files included (1)

  • SKILL.md3.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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

  1. Define goal state — what does "done" look like? List concrete success criteria
  2. Assess current state — what's true now? What assets, code, infrastructure exist?
  3. Identify gap — what must change between current and goal state?
  4. 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)
  5. Generate plan — find the optimal action sequence using A* through the state space
  6. Record trajectory — call mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-start to begin tracking
  7. Create tasks — call mcp__plugin_ruflo-core_ruflo__task_create for each action in the plan
  8. 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
  9. Monitor & replan — if an action fails or produces unexpected results:
    • Reassess current state
    • Recalculate optimal path from new state
    • Update remaining tasks
  10. Complete trajectory — call mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-end
  11. 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

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