muapi-brand-kit
Generate a cohesive brand visual kit — logo concept, color palette moodboard, and typography pairing suggestions.
适合你,如果需要快速创建品牌视觉方案
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
~/.claude/skills/(项目级 .claude/skills/)~/.codex/skills/npx oh-my-skill add samuraigpt/generative-media-skills/muapi-brand-kitcurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- samuraigpt/generative-media-skills/muapi-brand-kitnpx oh-my-skill verify samuraigpt/generative-media-skills/muapi-brand-kit怎么用
商店整理自技能原文 · 版本 a1c4c98 · 表述以原文为准Claude 会根据品牌名称、行业和个性,生成一套视觉方案,包括两个 Logo 概念、一个配色情绪板、一个品牌纹理,以及配色和字体搭配建议。
当你提到“品牌设计”、“Logo”、“视觉识别”等关键词,或要求为某个品牌创建视觉方案时触发。
技能原文 SKILL.md
Brand Kit
Generate a cohesive brand visual kit — logo concept, color palette moodboard, and typography pairing suggestions.
Inputs
| Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | brand_name | text | yes | — | Name of the brand. | | industry | text | yes | — | Industry or niche (e.g. "sustainable fashion", "fintech startup", "artisan bakery"). | | personality | text | no | modern, trustworthy, approachable | 3–5 brand personality adjectives (e.g. "bold, edgy, youthful" or "elegant, minimal, luxury"). | | color_preference | text | no | — | Optional color direction (e.g. "earthy greens and terracotta", "monochrome with gold accents"). |
Steps
Generate a multi-asset brand exploration in one parallel plan.
Phase A — Visual exploration (parallel)
Submit ONE the plan with:
- Logo concept A —
muapi image generate(model=gpt-image-2-text-to-image, aspect_ratio=1:1): - Style: minimalist wordmark or lettermark on white background, flat design.
- Prompt: "Minimalist logo for '{{brand_name}}', {{industry}} brand, {{personality}} personality. Clean vector-style, white background, professional. {{color_preference}}".
- Logo concept B —
muapi image generate(model=nano-banana-2, aspect_ratio=1:1): - Style: icon + wordmark combination.
- Prompt: "Modern logo mark + wordmark for '{{brand_name}}', {{industry}}, {{personality}}. Bold, distinctive, scalable icon design, white background. {{color_preference}}".
- Moodboard / Color palette —
muapi image generate(model=nano-banana-pro, aspect_ratio=16:9): - A flat design moodboard showing: 5 brand colors (as swatches with hex-like labels), lifestyle photography inspo tiles, texture samples.
- Prompt: "Brand moodboard for a {{personality}} {{industry}} brand called '{{brand_name}}'. Show 5 color palette swatches, 4 lifestyle photo tiles, typography samples. Flat lay design, white background. {{color_preference}}".
- Pattern / texture asset —
muapi image generate(model=nano-banana-2, aspect_ratio=1:1): - A seamless brand pattern or texture for use in backgrounds, packaging, stationery.
- Prompt: "Seamless brand pattern for {{brand_name}}, {{industry}}, {{personality}} aesthetic. Subtle, tileable, modern. {{color_preference}}".
Phase B — Deliverables summary
After the plan completes, return:
- Asset references (logo A, logo B, moodboard, pattern).
- Color palette recommendation: 5 hex codes with roles (Primary, Secondary, Accent, Neutral Light, Neutral Dark).
- Typography pairing: 2 Google Font pairings appropriate for the brand personality.
- Usage guidance: when to use each logo variant, color do/don'ts.
Notes
- If the user has reference images in the session, analyze their style before generating.
- Suggest logo A for digital-first brands, logo B for physical/retail brands.
- All four assets run in parallel for speed.
Trigger Keywords
brand kit, brand identity, logo, branding, brand design, visual identity
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.