OpenClaw Skill

planner

Local-first planning engine for trips, weeks, launches, projects, schedules, and structured decision-making. Use whenever the user wants to plan something, organize future steps, create a roadmap, map constraints, compare options, or turn a vague goal into a phased plan. Also use when the user says they need a plan, itinerary, schedule, rollout, timeline, or structured next steps. Local-only storage.

Install

$npx clawhub@latest install planner
All-time installs8
Active installs8
Stars0

Planner: Turn uncertainty into a workable plan.

Core Philosophy

  1. Plans should reduce uncertainty, not create overhead.
  2. Start with constraints, then shape the plan.
  3. Large plans should become phases, milestones, and next steps.
  4. Good planning creates clarity before execution begins.

Runtime Requirements

  • Python 3 must be available as python3
  • No external packages required

Storage

All data is stored locally only under:

  • ~/.openclaw/workspace/memory/planner/plans.json
  • ~/.openclaw/workspace/memory/planner/archive.json

No external sync. No cloud storage. No third-party planning APIs.

Plan Types

  • trip: Travel, itinerary, booking sequence, budget-aware planning.
  • week: Weekly structure, focus themes, time blocks, priorities.
  • project: Multi-phase roadmap with milestones.
  • launch: Rollout, preparation, dependencies, timeline.
  • decision: Option comparison with constraints and tradeoffs.

Core Fields

  • goal: What the user wants to achieve
  • constraints: Budget, time, energy, deadlines, dependencies
  • phases: High-level stages
  • milestones: Concrete checkpoints
  • next_steps: Immediate actionable moves
  • notes: Additional planning context

Key Workflows

  • Capture a plan: add_plan.py
  • See best structure: suggest_plan.py
  • Update a plan: update_plan.py
  • Summarize today's planning view: daily_plan.py
  • Review all active plans: weekly_map.py

Scripts

ScriptPurpose
init_storage.pyInitialize local storage files
add_plan.pyCapture a new plan
suggest_plan.pyShow the best current plan or next phase
update_plan.pyUpdate plan status, dates, notes, or phases
daily_plan.pyShow active plans and immediate next steps
weekly_map.pyReview all plans across horizons

Persistent memory

Give your OpenClaw agent a memory layer

Mem0 remembers users and context across sessions so you send fewer tokens and get better answers.

Try Mem0Mem0 + OpenClaw guide