muapi-color-analysis-board

Q: How do I install muapi-color-analysis-board?

Run npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-color-analysis-board 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-color-analysis-board/ (personal) or .claude/skills/muapi-color-analysis-board/ (project).

by samuraigptMedia & Creative

Turn a portrait photo into a high-end editorial "Color Analysis Board" in a luxury fashion-magazine style (Dior / Ralph Lauren aesthetic) — best colors, undertone, makeup guide, capsule wardrobe, hair & jewelry recommendations, all laid out on a clean beige/ivory grid.

Installs: 559
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Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-color-analysis-board

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads muapi-color-analysis-board automatically when relevant.
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.

Color Analysis Board

Inputs

Name	Type	Required	Default	Description
`person_image`	image_url	yes	—	A clear, well-lit portrait of the person. Front-facing, neutral background, and natural lighting give the strongest color reads (undertone, hair, eyes). Avoid heavy filters or makeup that masks the natural complexion.

Steps

Phase A — Color Analysis Board Generation

If {{person_image}} is not provided, ask the user to upload a clear front-facing portrait. Make sure the face is well-lit with natural color (no heavy filters, color-cast lighting, or sunglasses) — the model needs accurate skin, hair, and eye color to pick the right palette.

Once the photo is available, submit ONE step to generate the color analysis board:

Color Analysis Board Generation — muapi image edit (model=gpt-image-2-image-to-image):

Reference Image: {{person_image}}
Image size: 3840x2160 (16:9 landscape) — magazine-spread aspect ratio
Background: auto
Output format: png
Quality: auto
Moderation: low

Prompt:

Create a high-end editorial "Color Analysis Board" from this portrait in a luxury fashion magazine style (Dior / Ralph Lauren aesthetic). Clean beige/ivory background, warm tones, soft diffused lighting, ultra-detailed photorealistic quality, consistent lighting, minimal elegant typography, grid-based layout.

Main portrait: enhanced natural beauty (same identity, smooth skin, soft glow, realistic texture)
Top section: "Your Best Colors" with fabric swatches with the best algorithm choices
Undertone panel: warm / neutral / cool with marked result.
Colors to avoid
Neutrals that work
Prints that flatter
Makeup guide: eyeshadows, blush, lips, highlighter
"You in your colors": multiple outfit best variations
Hair colors: best.
Jewelry
Style notes

Capsule wardrobe: coordinated outfits, shoes, bags, accessories
Style: best style for me

Present the generated board to the user. Suggest variations they can try: a different source portrait (different lighting / hairstyle for comparison), or asking to bias the palette toward a season (e.g. "spring warm" vs "winter cool") or a specific brand aesthetic (e.g. minimalist Scandinavian, Old Money, streetwear).

Trigger Keywords

color analysis, color analysis board, personal color palette, seasonal color analysis, undertone analysis, style guide board, fashion color board, capsule wardrobe board

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.
Source schema reference: gpt-image-v2-edit (from the source workflow JSON) maps to gpt-image-2-image-to-image in the muapi catalog.
The output is intentionally 16:9 (3840×2160) so it reads as a magazine spread / desktop wallpaper / Pinterest landscape board. For IG-feed square or 9:16 vertical, request a re-crop or re-run with a different image_size.

FAQ

What does the muapi-color-analysis-board skill do?

How do I install muapi-color-analysis-board?

Run npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-color-analysis-board 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-color-analysis-board/ (personal) or .claude/skills/muapi-color-analysis-board/ (project).

Which AI agents can use muapi-color-analysis-board?

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-color-analysis-board 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-color-analysis-board?

It is published by samuraigpt in samuraigpt/generative-media-skills. It has 559 recorded installs.