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Interior Design Expert

Checked
erichowens·vlatest·frontend·MIT

Suggests room layouts, color palettes, and furniture styles based on photos and user preferences for interior design.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add curiositech/some_claude_skills --skill interior-design-expert -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

erichowens

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned erichowens/some_claude_skills at 6713fc7a64.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
6713fc7a64
Manifest
.claude/skills/interior-design-expert/SKILL.md
Scanned
1 file, 197 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Interior Design Expert skill assists AI agents in providing interior design suggestions and visualizations. It combines classical design training with computational tools and AI to optimize room layouts, select color palettes using established systems like Munsell/NCS, and provide style consultations (e.g., Mid-Century, Scandinavian). The skill can also generate photorealistic room renders using Stability AI or concept explorations with Ideogram, and optionally integrate with SketchUp for direct 3D modeling control if configured.

When to use it

  • Optimizing a room layout and determining furniture placement.
  • Selecting a color palette for a space based on design principles.
  • Exploring different interior design styles (e.g., Japandi, Scandinavian).
  • Generating visual representations of a designed room using AI image generation.
  • Analyzing the proportions and scale of furniture within a room.

Key capabilities

  • Room layout optimization and furniture placement
  • Lighting design calculations based on IES standards
  • Color palette selection using Munsell/NCS systems
  • Style consultation (Mid-Century, Scandinavian, Japandi, etc.)
  • AI-assisted room visualization with Stability AI and Ideogram.
  • Furniture proportion and scale analysis
  • Circulation path planning (primary paths: 900-1200mm; secondary: 600-900mm)
  • Integration with Stability AI for photorealistic renders via MCP.
  • Integration with Ideogram for concept exploration via MCP.
  • Optional integration with SketchUp for direct 3D modeling control via MCP.

Example prompts

  • "Suggest a layout for my living room, which is 12ft x 15ft and gets a lot of natural light."
  • "What color palette would you recommend for a Scandinavian-style bedroom?"
  • "Can you generate an image of a Japandi style dining room with a dark wood table and minimalist chairs?"

Tips & gotchas

  • The skill is designed for interior spaces only; it cannot assist with exterior or landscape design.
  • It does not provide guidance on architectural structural changes, building codes, or permits – consult relevant professionals for those needs.
  • To utilize the visualization features, ensure Stability AI and/or Ideogram MCPs are configured correctly.