Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Content Creation
Interior Design
Coordinate interior design projects with space verification, supplier localization, and staged decision-making.
skill openclawclawhub Free
Coordinate interior design projects with space verification, supplier localization, and staged decision-making.
โฌ 0 downloads โ
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, calculations.md, memory-template.md, photography.md, spaces.md, staging.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
TopicFileMemory setupmemory-template.mdMaterial mathcalculations.mdStyle matchingstyles.mdStaging/rentalsstaging.mdPhoto optimizationphotography.mdRoom-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.
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: Ask user's country/city Confirm which retailers are accessible Check if suggested items ship there with reasonable cost/time 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 โฌ200 sofa -> all suggestions must fit โฌ200-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 โฌ400 bedding upgrade could justify โฌ10-15/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 happensPreventionScale hallucinationModel visualizes "a sofa" without actual dimensionsAlways work from specific product specsStyle projectionModel defaults to whatever's popular on PinterestMatch to user's existing pieces or explicit briefAvailability assumptionSuggests items not sold in user's countryVerify region before any product recommendationMaintenance blindnessWhite fabrics + pets, plants in dark roomsAsk about lifestyle, maintenance capacityTrend in permanent elementsTrendy tiles that date in 3 yearsFlag trend risk for anything hard to changeLogistics amnesia"Buy this" without delivery/assembly realityInclude logistics in every furniture recommendation
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- calculations.md
- memory-template.md
- photography.md
- spaces.md
- staging.md