muapi-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.
- License 许可
- Apache-2.0
- 最近更新
- 2026-11-13
- Stars
- ★ 1.6k
- Forks
- 483
01 前言 Front Matter
- name
- muapi-interior-design-visualizer
- slug
- muapi-interior-design-visualizer
- version
- 1.0.0
- description
- Visualize interior design by generating an empty room and filling it with stylish furniture and decor, or by redesigning an existing room.
- acceptLicenseTerms
- true
03 SKILL.md 正文
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.
04 同仓库更多 Skills
migrate-to-e2e
Moves an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for /migrate-to-e2e, "migrate our tests to e2e", "port these Maestro flows", "move our TesterArmy tests", or when a project has an e2e config and an older suite still running.
e2e
Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.
create-verification-skill
Generate a project-local verify-<app> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for /create-verification-skill, "make a verification skill for this repo", or when a project has no scripted way to prove UI behavior.
deja-search
deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.
deja-reflect
End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.
revid
Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.