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Interior Design

Coordinate interior design projects with space verification, supplier localization, and staged decision-making.

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版本1.0.0
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name: Interior Design slug: interior-design version: 1.0.0 description: Coordinate interior design projects with space verification, supplier localization, and staged decision-making. metadata: {"clawdbot":{"emoji":"🏠","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

When to Use

User needs help with interior spaces: renovation planning, furniture selection, material calculations, rental optimization, staging, or product visualization in rooms.

Architecture

Project data in ~/interior-design/. See memory-template.md for setup.

~/interior-design/
|-- memory.md          # HOT: active project, confirmed preferences
|-- spaces/            # Per-room: dimensions, fixed elements, constraints
|-- suppliers.md       # Verified local suppliers with price tiers
+-- archive/           # Completed projects

Data Storage

All data stored in ~/interior-design/. Create on first use:

mkdir -p ~/interior-design/{spaces,archive}

Quick Reference

TopicFile
Memory setupmemory-template.md
Material mathcalculations.md
Style matchingstyles.md
Staging/rentalsstaging.md
Photo optimizationphotography.md
Room-specificspaces.md

Scope

This skill ONLY:

  • Advises based on user-provided dimensions and photos
  • Calculates quantities from explicit measurements
  • Stores preferences in local files
  • Compares options within stated constraints

This skill NEVER:

  • Makes purchases or contacts suppliers
  • Infers style from silence
  • Suggests products without confirming user's region
  • Recommends specific items without verifying availability

Self-Modification

This skill NEVER modifies its own SKILL.md. Learned preferences stored in ~/interior-design/memory.md.

Core Rules

1. No Dimensions = No Specifics

The model defaults to suggesting "standard" furniture. There is no standard.

Before any furniture/layout recommendation:

[ ] Room dimensions (L x W x H) in user's unit system
[ ] Door dimensions (will large items fit through?)
[ ] Window positions (affects layout and lighting)
[ ] What MUST stay (existing pieces, built-ins)

Without these -> give only directional guidance, never specific products or layouts.

2. Localize Before Recommending

Models suggest globally-known brands (IKEA, West Elm, Wayfair) regardless of user location.

Verification sequence:

  1. Ask user's country/city
  2. Confirm which retailers are accessible
  3. Check if suggested items ship there with reasonable cost/time
  4. Note price differences (IKEA Spain != IKEA USA)

Never recommend -> "Buy X from Y" without confirming Y operates in user's region.

3. Price Tier Lock

Models mix budget and premium items in the same proposal, creating incoherent spaces.

Establish tier ONCE, then stay in it:

Signal from userLock to tier
"affordable", "budget", "IKEA level"Budget only
"quality", "investment", specific mid-brandsMid-range only
"designer", brand names, no price concernPremium only

If user has €200 sofa -> all suggestions must fit €200-sofa-world.

4. Entry Path Verification

Models suggest items that won't physically enter the space.

Before recommending any item >50cm in any dimension:

  • Ask about entry points (door width, stairwell, elevator)
  • Calculate diagonal fit for sofas/mattresses
  • Flag items that require assembly-on-site vs delivered-assembled

"This sofa is perfect" -> useless if it doesn't fit through a 75cm door.

5. Dependency Sequencing

Models suggest purchases without considering what must happen first.

Interior work has hard sequences:

Structural -> Electrical/Plumbing -> Surfaces -> Fixed furniture -> Movable -> Decor

Never recommend:

  • Flooring before confirming subfloor is level
  • Lighting fixtures before electrical points are defined
  • Paint colors before confirming lighting (natural/artificial)
  • Furniture before flooring is installed (delivery damages)

6. Photography Impact Awareness

For rentals/staging: every design decision affects listing photos.

Photo-first thinking:

  • Hero shot (first image) determines click-through -> prioritize that space
  • Light colors photograph larger; dark absorbs space
  • Clutter in photos kills conversions more than in person
  • Window orientation determines optimal photo timing

See photography.md for shot lists and staging checklist.

7. Commercial ROI Framing

For rentals/staging, frame recommendations as investments with returns.

Always quantify when possible:

  • "This €400 bedding upgrade could justify €10-15/night increase"
  • "Professional photos typically lift bookings 20-40%"
  • "Staging at 1% of property value returns 5-10% on sale price"

Don't suggest "nice to have" -> suggest "here's the payback calculation."

Common Traps

TrapWhy it happensPrevention
Scale hallucinationModel visualizes "a sofa" without actual dimensionsAlways work from specific product specs
Style projectionModel defaults to whatever's popular on PinterestMatch to user's existing pieces or explicit brief
Availability assumptionSuggests items not sold in user's countryVerify region before any product recommendation
Maintenance blindnessWhite fabrics + pets, plants in dark roomsAsk about lifestyle, maintenance capacity
Trend in permanent elementsTrendy tiles that date in 3 yearsFlag trend risk for anything hard to change
Logistics amnesia"Buy this" without delivery/assembly realityInclude logistics in every furniture recommendation

如何使用「Interior Design」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Interior Design」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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