Generates smart, categorized packing lists based on destination weather, trip duration, activities, and transport type. Produces weighted checklists with a critical-items section and weather-adaptive recommendations.
Coding
Moving Checklist
Try itGenerate a personalized moving timeline & checklist based on your home info, timeline, and moving distance.
What it does
Generate a personalized moving timeline & checklist based on your home info, timeline, and moving distance.
The skill document
Moving Checklist (搬家清单助手)
Generate a personalized, printable moving handbook with a countdown timeline, categorized task lists, budget estimates, and roommate/family role assignments.
Scripts
| Path | Description |
|---|---|
scripts/checklist.py | Main CLI script — interactive or profile-based checklist generation |
schemas/input.schema.json | JSON Schema for input (moving profile) |
schemas/output.schema.json | JSON Schema for output (handbook, timeline, budget) |
references/task_templates.json | Task template library for all categories |
references/budget_tiers.json | Budget reference by city tier and distance |
CLI Usage
# Generate checklist from JSON profile
python scripts/checklist.py --profile '{"current":"整租","new_address":"上海浦东","move_date":"2025-07-15","distance":"同城","household_size":"solo"}'
# Interactive mode (step-by-step)
python scripts/checklist.py --interactive
# JSON output for programmatic use
python scripts/checklist.py --profile '{"distance":"跨城","household_size":"family","special_items":["钢琴","猫"]}' --output json
🚀 First-Success Path (3 Steps)
- Step 1: Run
python scripts/checklist.py --interactiveor provide a profile - Step 2: Answer 3 quick questions (date? furniture owned? household size?)
- Step 3: Receive personalized countdown timeline + categorized checklist in <20 seconds
Core Capabilities
- Countdown timeline: Auto-generate tasks from D-30 through D+7 post-move
- Categorized checklists: Admin (address changes, utilities), packing (declutter, boxing order), logistics (mover comparison, elevator booking), cleaning (move-out + move-in)
- Roommate/family mode: Assign tasks to household members with deadlines
- Budget estimation: Mover quotes, packing materials, cleaning fees, deposit expectations
- Inter-city vs intra-city: Tailor logistics based on distance
- Printable handbook: Export as formatted Markdown
Workflow (7 Steps)
Step 1: Gather Moving Context
Input: User answers a short questionnaire (interactive or one-shot):
- Current residence type: 整租 (rental whole) / 合租 (shared) / 自有 (owned)
- New address (city + district, or "same city")
- Moving date
- Moving distance: 同城 (same city) / 跨城 (inter-city) / 跨国 (international)
- Furniture/appliances: owned or landlord's?
- Household size: solo / couple / family (specify members)
- Special items: piano, pet, plants, fragile collection?
Output: Structured moving profile JSON. Logic: Ask missing fields one by one if user provides incomplete info.
Step 2: Generate Countdown Timeline
Input: Moving profile. Output: Timeline from D-30 to D+7 with task buckets.
| Period | Focus | Example Tasks |
|---|---|---|
| D-30~D-14 | Planning | Research movers, declutter, notify landlord |
| D-14~D-7 | Preparation | Book movers, start packing non-essentials, change address |
| D-7~D-3 | Packing | Pack room by room, label boxes, arrange utilities transfer |
| D-3~D-1 | Final Prep | Defrost fridge, pack essentials bag, confirm mover time |
| D-Day | Move Day | Supervise loading, final walkthrough, key handover |
| D+1~D+7 | Settling | Unpack priorities, register at new community, update ID address |
Logic: Adjust density based on timeline length. Urgent move (<7 days) → compressed mode.
Step 3: Categorize Tasks into 4 Pillars
Input: Moving profile + timeline. Output: Tasks organized into 4 categories.
A. Admin Tasks
- Change address: bank, social security (社保), delivery apps, subscriptions
- Rental: notice to landlord, deposit negotiation, contract termination
- Utilities: water, electricity, gas, internet transfer or cancellation
- Documentation: 居住证 (residence permit) update if inter-city
B. Packing Tasks
- Declutter list: sell/donate/discard by room
- Packing order: off-season clothes → books → decorations → daily items
- Valuables list: documents, jewelry, electronics (keep with you)
- Box labeling system: room name + content summary + fragile flag
C. Logistics Tasks
- Mover comparison: 货拉拉 (HuoLala) vs 快狗 (Kuaigou) vs traditional movers
- Box count estimation: 1BR ≈ 15-20 boxes, 2BR ≈ 25-35, 3BR ≈ 40-55
- Elevator booking: reserve freight elevator if applicable
- Parking permit for moving truck
- Insurance: check mover insurance coverage, consider supplemental
D. Cleaning Tasks
- Move-out: wall marks, kitchen grease, bathroom mold, floor, window tracks
- Move-in: sanitize kitchen/bathroom, check for pests, test all appliances
Step 4: Household Role Assignment (Multi-person Mode)
Input: Household members. Output: Responsibility matrix.
| Task | Owner | Deadline | Status |
|---|---|---|---|
| Book movers | 小王 | D-14 | ⬜ |
| Pack kitchen | 小李 | D-3 | ⬜ |
Logic: Default assignment by room or by category. User can override.
Step 5: Budget Estimation
Input: Moving profile. Output: Estimated cost breakdown.
| Category | Item | Est. Cost |
|---|---|---|
| Movers | 货拉拉 (within city, 1BR) | ¥300-500 |
| Packing | Boxes ×20, tape, bubble wrap | ¥80-150 |
| Cleaning | Move-out deep clean | ¥200-400 |
| Deposit | Expected deductions | ¥0-1000 |
Logic: Use city-tier multipliers (Tier 1 cities +30%).
Step 6: Generate Printable Handbook
Input: All previous outputs. Output: Complete moving handbook in structured Markdown, ready for print/export. Sections: Cover page → Countdown calendar → Admin checklist → Packing guide → Logistics plan → Cleaning checklist → Budget sheet → Emergency contacts.
Step 7: Post-Move Follow-up
Input: Move completed. Output: D+1 through D+7 settling tasks, community registration guide, utility setup checklist. Logic: Triggered by user confirming "move complete".
Sample Prompts
Prompt 1: Solo Move (Same City)
User:
python scripts/checklist.py --profile '{"current":"整租","new_address":"上海浦东","move_date":"2025-07-15","distance":"同城","household_size":"solo"}'
Expected Output:
Moving Profile: 整租 → 上海浦东
Date: 2025-07-15 | Distance: 同城
Household: solo | City tier: Tier 1
[Step 2/7] Generating countdown timeline...
-> 6 timeline periods generated
[Step 3/7] Categorizing tasks into 4 pillars...
-> 35 tasks across 4 categories
[Step 4/7] Assigning roles...
-> You
[Step 5/7] Estimating budget...
-> Estimated: ¥923-1690
[Step 6/7] Generating printable handbook...
-> Handbook generated (4230 chars)
============================================================
# Moving Handbook / 搬家手册
**Generated**: 2025-07-01 ...
**Move Date**: 2025-07-15
**From → To**: 整租 → 上海浦东
**Distance**: 同城
**Household**: solo
...
============================================================
Step 7/7: Post-move follow-up available after move confirmation
Handbook complete! Save the output for your move.
Prompt 2: Inter-City Family Move with Special Items
User:
python scripts/checklist.py --profile '{"distance":"跨城","household_size":"family","special_items":["钢琴","猫"],"move_date":"2025-08-01","new_address":"杭州滨江"}'
Expected Output:
Moving Profile: 整租 → 杭州滨江
Date: 2025-08-01 | Distance: 跨城
Household: family | City tier: Tier 2
[Step 2/7] Generating countdown timeline...
-> 7 timeline periods generated (including special items)
[Step 3/7] Categorizing tasks into 4 pillars...
-> 40 tasks across 4 categories (with inter-city extras)
[Step 5/7] Estimating budget...
-> Estimated: ¥3790-7900
Budget includes special item surcharges (piano mover + pet transport)
Prompt 3: Couple Move with Full Furniture
User:
python scripts/checklist.py --profile '{"current":"自有","new_address":"北京朝阳","move_date":"2025-09-01","household_size":"couple","furniture":"全部自有","household_members":["Alice","Bob"]}'
Expected Output:
Moving Profile: 自有 → 北京朝阳
Date: 2025-09-01 | Distance: 同城
Household: couple | City tier: Tier 1
[Step 4/7] Assigning roles...
-> Team (with Alice and Bob having default category assignments)
[Step 5/7] Estimating budget...
-> Box estimate: 20-30 boxes (couple with all furniture)
-> Estimated: ¥1372-2600
Handbook includes role assignment matrix for couple
Prompt 4: Urgent Solo Move (Short Notice)
User:
python scripts/checklist.py --profile '{"current":"合租","new_address":"深圳南山","distance":"同城","move_date":"2025-07-10","household_size":"solo"}'
Expected Output:
Moving Profile: 合租 → 深圳南山
Date: 2025-07-10 | Distance: 同城
Household: solo | City tier: Tier 1
[Step 2/7] Generating countdown timeline...
-> 5 timeline periods (compressed mode, < 7 days to move)
Features compressed/urgent timeline with fewer, prioritized tasks
Prompt 5: JSON Output for Programmatic Use
User:
python scripts/checklist.py --profile '{"current":"整租","new_address":"成都高新区","move_date":"2025-08-15","distance":"同城","household_size":"solo"}' --output json
Expected Output:
{
"version": "1.0.0",
"profile": {
"current": "整租",
"new_address": "成都高新区",
"move_date": "2025-08-15",
"distance": "同城",
"household_size": "solo",
"city_tier": "Tier 2"
},
"timeline": [...],
"categories": {...},
"role_assignment": {"owner": "You", "note": "Solo move — all tasks assigned to you."},
"budget": {
"city_tier": "Tier 2",
"multiplier": 1.0,
"box_count_estimate": "15-20",
"total_range": "¥610-1320"
},
"handbook": "..."
}
Prompt 6: Interactive Mode
User:
python scripts/checklist.py --interactive
Expected Output:
== Moving Checklist — Interactive Setup ==
Current residence type (整租/合租/自有):
New address (city + district):
Move date (YYYY-MM-DD):
Distance (同城/跨城/跨国):
Household size (solo/couple/family):
Furniture (房东提供/部分自有/全部自有):
Special items (comma-separated, or leave blank):
...
Followed by the same complete handbook output.
Boundary Conditions
[Boundary conditions unchanged from design doc]
Error Handling
[Error handling unchanged from design doc]
Security Requirements
- Address privacy: Use city+district level only; never store full street address
- No financial data: Budget estimates are generic ranges; no actual bank/payment info
- Household member names: Allow pseudonyms/nicknames; never require real names
- Export sanitization: Strip metadata from generated PDFs
Related skills
Generate English hospital recommendation reports for medical travel to China, hospital matching, and redo orders. Use when needs to turn user intake data int...
Professional home inspection for Taiwan residential properties. Structured checklists for structure, electrical, plumbing, doors/windows, bathroom, kitchen,...
Generate complete, image-rich travel plans from trip dates and destination, including day-by-day itinerary, transportation, lodging area guidance, budget ran...
Comfort-first 自驾路书: HTML route maps, A/B/C stops, pregnancy-friendly pacing, weather, meals, calendar
Get day-by-day trip plans backed by research on current prices, visas, weather, and local events.