Interior Design
📖 技能介绍
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
| Topic | File |
|---|---|
| Memory setup | memory-template.md |
| Material math | calculations.md |
| Style matching | styles.md |
| Staging/rentals | staging.md |
| Photo optimization | photography.md |
| Room-specific | spaces.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 user | Lock to tier | |------------------|--------------| | "affordable", "budget", "IKEA level" | Budget only | | "quality", "investment", specific mid-brands | Mid-range only | | "designer", brand names, no price concern | Premium 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.
小葱技能站7w4.net发现了升级插件。
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
| Trap | Why it happens | Prevention |
|---|---|---|
| Scale hallucination | Model visualizes "a sofa" without actual dimensions | Always work from specific product specs |
| Style projection | Model defaults to whatever's popular on Pinterest | Match to user's existing pieces or explicit brief |
| Availability assumption | Suggests items not sold in user's country | Verify region before any product recommendation |
| Maintenance blindness | White fabrics + pets, plants in dark rooms | Ask about lifestyle, maintenance capacity |
| Trend in permanent elements | Trendy tiles that date in 3 years | Flag trend risk for anything hard to change |
| Logistics amnesia | "Buy this" without delivery/assembly reality | Include logistics in every furniture recommendation |
🤖 AI 评测
这个技能专注于帮你规划室内装修、选家具、计算材料用量等。优点是问得很细致，会先确认你的房间尺寸和预算才给建议，不会乱推荐买不到的东西，还会帮你算好需要多少地板、涂料。不足之处是它是纯文字型的，遇到具体问题时可能无法帮你生成设计图或直接查找产品。总的来说，适合需要专业室内设计建议但预算有限的用户。
