muapi-interior-design-visualizer
- Repo stars 3,374
- Author updated Live
- Author repo Generative-Media-Skills
- Domain
- Design
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 92 / 100 · audit passed
- Author / version / license
- @SamurAIGPT · v1.0.0 · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Required · Vendor-specific
- Operating systems
- Windows
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Network behavior
- External requests
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools，默认拥有全部工具权限。
---
name: muapi-interior-design-visualizer
description: Visualize interior design by generating an empty room and filling it with stylish furniture and…
category: design
runtime: no special runtime
---
# muapi-interior-design-visualizer output preview
## PART A: Task fit
- Use case: Visualize interior design by generating an empty room and filling it with stylish furniture and decor, or by redesigning an existing room. | Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | room_type | text | no | modern living room | The type of room to design (e.g. living room, bedroom, office). | requires Vendor-specific AP….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Inputs / Steps / Phase A — Room Setup” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Visualize interior design by generating an empty room and filling it with stylish furniture and decor, or by redesigning an existing room. | Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | room_type | text | no | modern living room | The type of room to design (e.g. living room, bedroom, office). | requires Vendor-specific AP…”.
- **02** When the source has headings, the agent prioritizes “Inputs / Steps / Phase A — Room Setup” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; may access external network resources; requires Vendor-specific API keys.
## Running Rules
- read files, write/modify files, run shell commands; may access external network resources; requires Vendor-specific API keys.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. Choose the trigger
The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Provide inputs and boundaries
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Validate with a small run
Start with a small task and check whether the result follows “Inputs / Steps / Phase A — Room Setup”. Inspect diffs, logs, previews, or tests before expanding scope.
Review before delivery
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: muapi-interior-design-visualizer
description: Visualize interior design by generating an empty room and filling it with stylish furniture and…
category: design
source: SamurAIGPT/Generative-Media-Skills
---
# muapi-interior-design-visualizer
## When to use
- Visualize interior design by generating an empty room and filling it with stylish furniture and decor, or by redesigni…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Inputs / Steps / Phase A — Room Setup” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; may access external network resources; requires Vendor-specific API keys.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. Evidence boundary and execution chain
The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "muapi-interior-design-visualizer" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Inputs / Steps / Phase A — Room Setup
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, run shell commands | may access external network resources
guardrails -> requires Vendor-specific API keys + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
}Interior Design Visualizer
Visualize interior design by generating an empty room and filling it with stylish furniture and decor, or by redesigning an existing room.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
room_type |
text | no | modern living room | The type of room to design (e.g. living room, bedroom, office). |
design_style |
text | no | contemporary minimalist | The aesthetic style (e.g. Scandinavian, Industrial, Bohemian). |
empty_room_image |
image_url | no | — | Optional image of an empty room to be used as a base. |
Steps
Phase A — Room Setup
If {{empty_room_image}} is not provided, submit the plan with ONE step to generate an empty base room:
- Empty Room Generation —
muapi image generate(model=gpt-image-2-text-to-image):- Prompt:
A professional wide-angle photograph of a completely empty {{room_type}} with {{design_style}} architecture. Large windows with natural light, clean wooden or tiled flooring, white or neutral-colored walls, no furniture, high ceiling. High-quality architectural photography, cinematic look. - Aspect ratio: 4:3 or 1:1
- Prompt:
Present the empty room to the user.
Phase B — Furnishing & Styling
Once the base room is ready, submit the plan to fill it with furniture:
- Room Furnishing —
muapi image edit(model=nano-banana-2-edit):- Reference Image: The empty room image from Phase A (or the user-provided
{{empty_room_image}}). - Prompt:
A stunningly designed {{room_type}} filled with high-end furniture in a {{design_style}} style. Includes a comfortable sofa, stylish coffee table, elegant rug, indoor plants, decorative wall art, and ambient lighting. The furniture placement is natural and architecturally sound. Photorealistic textures, soft lighting, cozy and inviting atmosphere, 8k resolution. - Aspect ratio: Same as the base image.
- Reference Image: The empty room image from Phase A (or the user-provided
After generation, present the final interior design visualization to the user. You can offer to generate variations with different styles (e.g., "Change style to Industrial").
Trigger Keywords
interior design, room visualizer, furniture design, home decor, redesign room
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis 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 withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review