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.
Best use case
planner is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using planner should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/planner/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How planner Compares
| Feature / Agent | planner | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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 | Script | Purpose | |---|---| | `init_storage.py` | Initialize local storage files | | `add_plan.py` | Capture a new plan | | `suggest_plan.py` | Show the best current plan or next phase | | `update_plan.py` | Update plan status, dates, notes, or phases | | `daily_plan.py` | Show active plans and immediate next steps | | `weekly_map.py` | Review all plans across horizons |
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