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logo-creator

Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=resciencelab-opc-skills-skills-logo-creator-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name logo-creator description Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo. Logo Creator Skill Create professional logos through AI image generation with an iterative design process. Prerequisites Required API Keys (set in environment): GEMINI_API_KEY - Get from Google AI Studio REMOVE_BG_API_KEY - Get from remove.bg RECRAFT_API_KEY - Get from recraft.ai Required Skills: nanobanana - AI image generation (Gemini 3 Pro Image) File Output Location All generated files should be saved to the .skill-archive directory: .skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/ Example: .skill-archive/logo-creator/2026-01-18-opc-logo/ logo-01.png logo-02.png ... logo-09-cropped.png logo-09-nobg.png logo-09.svg preview.html Guidelines: Use current date in format yyyy-mm-dd Add short summary name (project/brand name, kebab-case) Create directory before generating first logo Keep all variations and iterations in same folder Final approved logo should be copied to user's desired location Workflow Step 1: Discovery & Requirements Before generating, gather requirements from user: Ask about: Project/Brand name - What is the logo for? Style preference - See references/styles.md for options: Pixel art / 8-bit retro Minimalist / flat design 3D / isometric Hand-drawn / sketch Mascot / character Monogram / lettermark Abstract / geometric Aspect ratio - Default is 1:1 (square), options: 1:1 - Square (favicons, app icons) 16:9 - Wide (headers, banners) 4:3 - Standard 2:3 - Portrait Color preferences : Monochrome (black & white) Specific brand colors Let AI decide Reference images - Any existing logos or styles to reference? Wait for user confirmation before proceeding! Step 2: Generate Logo Variations Generate 20 logo variations (default) using the nanobanana skill: # Generate single logo python3 <nanobanana_skill_dir>/scripts/generate.py "{style} logo for {brand}, {description}, {colors}" \ --ratio 1:1 -o .skill-archive/logo-creator/<date-name>/logo-01.png # Batch generate 20 logos python3 <nanobanana_skill_dir>/scripts/batch_generate.py "{style} logo for {brand}, {description}, {colors}" \ -n 20 --ratio 1:1 -d .skill-archive/logo-creator/<date-name> -p logo Guidelines: Use batch_generate.py for multiple variations (includes auto-delay) Save to .skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/ directory Use sequential naming: logo-01.png , logo-02.png , etc. Prompt Tips: Include style keywords: "pixel art", "minimalist", "8-bit", "flat design" Specify colors: "black on white", "monochrome", "blue gradient" Add context: "tech startup", "food brand", "gaming company" Request format: "icon", "emblem", "mascot", "lettermark" Step 3: Create HTML Preview Copy the preview template and open in browser: cp <skill_dir>/templates/preview.html .skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/preview.html Then open in default browser: open .skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/preview.html IMPORTANT: Update the HTML to include the correct number of logos generated. Step 4: Iterate with User Ask user which logos they prefer: "Which logos do you like? (e.g., #5, #12, #18)" "What do you like about them?" "Any changes you'd want?" Based on feedback: Generate 10-20 more variations of favorite styles Use naming: logo-{original}-v{n}.png (e.g., logo-05-v1.png ) Update HTML preview Repeat until user selects final logo Step 5: Finalize Logo Once user approves a logo, process it: 5a. Crop whitespace (make 1:1 with no margins): python3 <skill_dir>/scripts/crop_logo.py {input.png} {output-cropped.png} 5b. Remove background: python3 <skill_dir>/scripts/remove_bg.py {input.png} {output-nobg.png} 5c. Convert to SVG: python3 <skill_dir>/scripts/vectorize.py {input.png} {output.svg} Step 6: Deliver Final Assets Present final deliverables: ## Final Logo Assets | File | Description | Size | |------|-------------|------| | logo.png | Original | 1024x1024 | | logo-cropped.png | No margins, 1:1 | ~800x800 | | logo-nobg.png | Transparent background | ~800x800 | | logo.svg | Vector (scalable) | ~20KB | All files saved to: `.skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/` Copy final logo to user's desired location. Quick Reference Common Prompt Patterns Pixel Art: Pixel art {subject} logo, 8-bit retro style, black pixels on white background, {size}x{size} grid, minimalist icon Minimalist: Minimalist {subject} logo, flat design, clean lines, {color} on white, simple geometric shapes Mascot: Cute {animal/character} mascot logo, friendly expression, {style} style, {colors}, suitable for brand icon Lettermark: Letter "{letter}" logo, modern typography, {style} design, {colors}, clean professional look Supported Aspect Ratios 1:1 - Square (default for logos) 2:3 , 3:2 - Portrait/Landscape 3:4 , 4:3 - Standard 4:5 , 5:4 - Photo 9:16 , 16:9 - Wide 21:9 - Ultra-wide References references/styles.md - Logo style guide with prompt examples examples/opc-logo-creation.md - Full example conversation
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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