MCPInstall

muapi-floor-plan-rendering

Design a 2D floor plan and convert it into a realistic, high-quality 3D architectural rendering.

Installs
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/samuraigpt/muapi-skills --skill muapi-floor-plan-rendering
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads muapi-floor-plan-rendering automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Floor Plan Rendering

Design a 2D floor plan and convert it into a realistic, high-quality 3D architectural rendering.

Inputs

NameTypeRequiredDefaultDescription
floor_plan_descriptiontextyes—Description of the floor plan (e.g. "a modern 2-bedroom apartment with a balcony and open kitchen").
base_plan_imageimage_urlno—Optional 2D floor plan image to use as a starting point.

Steps

Phase A — 2D Floor Plan Design

If {{base_plan_image}} is not provided, submit the plan with ONE step to create the 2D blueprint:

  1. Floor Plan Generation — muapi image generate (model=nano-banana-2):
    • Prompt: A professional, clean 2D architectural floor plan of {{floor_plan_description}}. Top-down view, technical drawing style, white background, black lines, labeled rooms (Living Room, Kitchen, Bedroom, etc.), high contrast, minimalist design.
    • Aspect ratio: 4:3 or 1:1

Present the 2D plan to the user for approval.

Phase B — 3D Rendering

Once the 2D plan is ready, submit the plan to convert it into a realistic 3D visualization:

  1. 3D Conversion — muapi image edit (model=nano-banana-2-edit):
    • Reference Image: The 2D plan from Phase A.
    • Prompt: A stunning, realistic 3D isometric cutaway rendering of the architectural floor plan. Photorealistic textures, warm wooden flooring, modern furniture, soft natural sunlight coming from windows, realistic shadows. High-end architectural visualization, cinematic look, 8k resolution, clean white studio background.
    • Aspect ratio: 4:3 or 1:1

After generation, present the final 3D rendering to the user.

Trigger Keywords

3d floor plan, architectural rendering, 2d to 3d plan, house design, interior plan


Notes for the Executing Agent

  • This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.
  • For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

FAQ

What does the muapi-floor-plan-rendering skill do?

Design a 2D floor plan and convert it into a realistic, high-quality 3D architectural rendering.

How do I install muapi-floor-plan-rendering?

Run npx skills add https://github.com/samuraigpt/muapi-skills --skill muapi-floor-plan-rendering in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/muapi-floor-plan-rendering/ (personal) or .claude/skills/muapi-floor-plan-rendering/ (project).

Which AI agents can use muapi-floor-plan-rendering?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is muapi-floor-plan-rendering safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains muapi-floor-plan-rendering?

It is published by samuraigpt in samuraigpt/muapi-skills. It has 58 recorded installs.

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