mcpField
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mascot-logo-generator

mascot-logo-generator

github.com/sanbaoaiDesign & UI7757 installsUpdated 20w ago
Repository

About mascot-logo-generator

mascot-logo-generator is a design skill for developing mascot-based logo concepts and production-ready creative packages. It extracts recognizable features from a mascot and can prepare image-generation prompts or generate an image when requested.

Key features

  1. 01Develops logo direction from a mascot source
  2. 02Extracts recognizable features into symbol concepts
  3. 03Simplifies a selected feature into a silhouette
  4. 04Adapts prompts to specified image platforms
  5. 05Uses a brand-system-board layout by default for image generation
  6. 06Revises an existing direction from notes

Use cases

  1. 01Develop a logo concept from an animal or character
  2. 02Prepare platform-specific prompts for a mascot logo
  3. 03Create a brand-system board when image rendering is requested
  4. 04Revise a previous concept while retaining selected elements

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/sanbaoai/logo-generator-skill --skill mascot-logo-generator

After installing, type/mascot-logo-generatorin Claude Code to confirm it loaded.

Bundled filesinput-schema.jsonprompt.md

Details

From the project README

Mascot Logo Generator

Use this skill to turn a mascot-like source into a practical logo creative package, and to generate a logo image when the user explicitly asks to create or render one. This skill uses the same brand-system-board presentation style as base-logo-generator, but its symbol logic is mascot-feature extraction instead of general abstract logo design.

Workflow

  1. Identify the logo type: company/brand, product, cultural/creative merchandise, campaign/advertising, event, app, sub-brand, personal brand, or other.
  2. Understand the object being branded: name, audience, offering, brand values, usage surfaces, market context, and any style constraints.
  3. Identify the mascot source: animal, fictional figure, object, celestial body, character, or other recognizable entity.
  4. Extract 2-4 symbolic routes from the source's most recognizable features: paw/claw, head profile, horn/antler/ear shape, tusks, alien eyes, mask, tail curve, crescent/moon fragment, helmet, fruit cutout, or another unmistakable part.
  5. Choose one strongest feature route and simplify it into a trademarkable silhouette. Explain what is being exaggerated, what is being omitted, and why the result works at small sizes.
  6. If the user provides a visual reference, extract only the transferable design method: layout, spacing, color restraint, typography mood, silhouette economy, scale hierarchy, presentation format, and production constraints. Do not copy the reference mark, wordmark, protected silhouette, or trademark-specific proportions.
  7. Generate platform-ready prompts. If the user specifies target_platform, focus on that platform; otherwise include Universal, GPT Image, Midjourney, Flux, and Ideogram variants.
  8. For direct image generation, default to a brand-system-board presentation unless the user asks for a standalone logo, transparent asset, app icon, or another format. The board should use a square brand guideline grid with numbered modules: main logo, favicon, seal version, wordmark lockup, black/ivory applications, mockup, embossed application, symbol meaning, and a footer value strip.
  9. If the user asks to "generate", "render", "create an image", "出图", "直接生成", or sets render_image: true, use the strongest GPT Image or Universal prompt to call the imagegen skill/tool or another available image-generation tool after preparing the creative direction. Generate one polished primary image unless the user asks for variants.
  10. If image generation is requested but no image-generation tool is available, return the creative package and clearly identify the final prompt to paste into an image model.
  11. If revision_notes are provided, preserve the useful parts of the prior direction and revise only the requested aspects.

Output

Return these sections:

  • Logo Direction
  • Mascot Feature Concept
  • Visual System Notes
  • Brand System Board Layout
  • Final Image Prompts
  • Generated Logo, only when direct image generation is requested and available

Read prompt.md for detailed style constraints, anti-patterns, and output templates.

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