muapi-interior-design
- 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
description: Create professional interior design visualizations — redesign existing rooms, generate new room…
category: design
runtime: no special runtime
---
# muapi-interior-design output preview
## PART A: Task fit
- Use case: Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space. | Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | room_type | text | yes | — | The type of room (e.g. "modern living room", "scandinavian kitchen", "luxury master bedroom….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Inputs / Steps / Phase A — Room Concept / Redesign” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space. | Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | room_type | text | yes | — | The type of room (e.g. "modern living room", "scandinavian kitchen", "luxury master bedroom…”.
- **02** When the source has headings, the agent prioritizes “Inputs / Steps / Phase A — Room Concept / Redesign” 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 Concept / Redesign”. 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
description: Create professional interior design visualizations — redesign existing rooms, generate new room…
category: design
source: SamurAIGPT/Generative-Media-Skills
---
# muapi-interior-design
## When to use
- Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize…
- 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 Concept / Redesign” 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" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Inputs / Steps / Phase A — Room Concept / Redesign
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
Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
room_type |
text | yes | — | The type of room (e.g. "modern living room", "scandinavian kitchen", "luxury master bedroom", "minimalist home office"). |
design_style |
text | no | modern minimalist | The aesthetic direction (e.g. "japandi", "industrial loft", "boho chic", "mid-century modern", "art deco"). |
color_palette |
text | no | neutral tones with wood accents | Preferred colors and materials (e.g. "sage green and brass", "monochrome black and white", "warm terracotta"). |
specific_elements |
text | no | — | Particular items to include (e.g. "large floor-to-ceiling windows", "velvet green sofa", "statement pendant light"). |
room_photo |
image_url | no | — | Optional photo of an existing room to redesign or use as layout reference. |
Steps
Phase A — Room Concept / Redesign
Submit the plan with ONE or TWO steps:
Main Visualization — If
{{room_photo}}is provided, usemuapi image edit(model=flux-kontext-pro-i2i); otherwise usemuapi image generate(model=nano-banana-pro):- Prompt:
Professional interior design visualization of a {{room_type}}. Style: {{design_style}}. Color palette: {{color_palette}}. {{specific_elements}}. Cinematic lighting, architectural photography style, wide angle lens, 8k resolution, photorealistic textures. High-end interior design magazine quality. - If
{{room_photo}}is used, add:Maintain the structural layout and window placement of the reference room. Completely transform the furniture, decor, and wall finishes to match the new style. - Aspect ratio: 16:9 (standard for room views)
- Prompt:
Alternative Angle (Optional) —
muapi image generate(model=bytedance-seedream-v4.5):- Prompt:
A different perspective/closeup of the same {{room_type}} — focus on the textures and lighting of the {{specific_elements}}. {{design_style}} aesthetic, {{color_palette}}. Professional interior photography.
- Prompt:
After generation:
- Present the new room design
- Offer to "expand the room" using
ai-image-extensionto see more of the space - Suggest adding a 3D-style walkthrough video using
kling-v3.0-pro-image-to-video - Offer to generate a specific mood board for this design
Notes
flux-kontext-pro-i2iis the best model for maintaining the "soul" of a room while changing the design style.- For small rooms, suggest using "bright natural light" and "minimal furniture" to make the space feel larger.
- For commercial spaces (offices, cafes), add "professional workplace lighting" to the prompt.
Trigger Keywords
interior design, room redesign, home decor, architecture visualization, room concept, furniture layout, house design, interior visualization
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