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muapi-brand-kit

@samuraigpt · 收录于 1 周前 · 上游提交 3 周前

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

/ 下载安装
muapi-brand-kit.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add samuraigpt/generative-media-skills/muapi-brand-kit
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- samuraigpt/generative-media-skills/muapi-brand-kit
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify samuraigpt/generative-media-skills/muapi-brand-kit
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 a1c4c98 · 表述以原文为准
它做什么

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。

什么时候触发

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。

装好后可以这样说
Claude 会询问品牌个性等细节,然后输出完整方案。
技能原文 SKILL.md作者撰写 · MIT · a1c4c98

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:

  1. Logo concept Amuapi image generate (model=gpt-image-2-text-to-image, aspect_ratio=1:1):
  2. Style: minimalist wordmark or lettermark on white background, flat design.
  3. Prompt: "Minimalist logo for '{{brand_name}}', {{industry}} brand, {{personality}} personality. Clean vector-style, white background, professional. {{color_preference}}".
  1. Logo concept Bmuapi image generate (model=nano-banana-2, aspect_ratio=1:1):
  2. Style: icon + wordmark combination.
  3. Prompt: "Modern logo mark + wordmark for '{{brand_name}}', {{industry}}, {{personality}}. Bold, distinctive, scalable icon design, white background. {{color_preference}}".
  1. Moodboard / Color palettemuapi image generate (model=nano-banana-pro, aspect_ratio=16:9):
  2. A flat design moodboard showing: 5 brand colors (as swatches with hex-like labels), lifestyle photography inspo tiles, texture samples.
  3. 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}}".
  1. Pattern / texture assetmuapi image generate (model=nano-banana-2, aspect_ratio=1:1):
  2. A seamless brand pattern or texture for use in backgrounds, packaging, stationery.
  3. 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 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.
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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