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Cover Design

Community
tobyilee
cover-design

Generate a book cover image (1600x2560 PNG) based on title, topic mood, and target audience. Craft image generation prompts in English, use available image-gen MCPs or APIs, fallback to ImageMagick typography. Use when creating, revising, or A/B testing book covers. Author attribution defaults to Toby-AI (override via orchestrator input).

Overview

Publishertobyilee
Repositorybook-writer
Skill namecover-design
Stars
85
Forks
20
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tobyilee on GitHub. Read the source before you install it.

Installation

Install the Cover Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tobyilee/book-writer/tree/main/.claude/skills/cover-design
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tobyilee/book-writer.git /tmp/book-writer
mkdir -p .claude/skills
cp -r /tmp/book-writer/.claude/skills/cover-design .claude/skills/cover-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cover Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cover Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cover Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cover Design

책의 표지 이미지를 설계·생성한다. 결과는 {slug}/cover.png (1600×2560 권장) + 재생성용 프롬프트 기록.

절차

  1. 입력 확인 — 책 제목, 부제(있으면), 주제 분위기, 대상 독자
  2. 콘셉트 3안 구상
    • A: 미니멀리즘 — 심볼 하나 + 큰 타이포
    • B: 일러스트형 — 주제 메타포 이미지
    • C: 타이포그래피 중심 — 제목 자체가 그래픽
  3. 추천안 선택 — 주제 톤·대상 독자에 가장 맞는 1안
  4. 프롬프트 작성 — 영어 프롬프트 권장 (이미지 모델 대부분 영어 최적화)
  5. 이미지 생성 — 사용 가능한 도구 순서로 시도
  6. 결과 검증 — 해상도, 구도, 제목 가독성 확인
  7. 저장 — cover.png + cover_prompt.md

콘셉트 선택 가이드

주제 톤추천 콘셉트
차분한 기술서A (미니멀리즘, 차분한 색조)
철학·에세이형C (타이포그래피, 따뜻한 색)
실전 튜토리얼B (일러스트, 선명한 색)
심화·이론서A (미니멀, 깊이 있는 색)

프롬프트 작성 원칙

  • 스타일 지정: "minimalist book cover", "editorial illustration", "modernist typography"
  • 색상 톤: "warm muted palette", "deep blue and gold"
  • 분위기: "contemplative", "bold", "serene"
  • 구도: "title prominent in upper third, small author attribution at bottom"
  • 제외: "no cheesy stock photo aesthetic", "no generic tech gradient"
  • 해상도·비율: "portrait orientation, 1.6:1 aspect ratio"

예시 프롬프트:

A minimalist book cover in portrait format (1600x2560). 
Title "효과적인 SQL 쿼리 튜닝" in bold modern sans-serif 
occupying the top third. Center: a single abstract symbol 
resembling an interconnected graph in deep indigo. 
Background: warm off-white. Bottom-right: "Toby-AI" 
in small elegant serif. Editorial, calm, confident. 
No stock photography. No generic tech gradient.

이미지 생성 도구 우선순위

  1. 이미지 생성 MCP (설치되어 있으면) — 가장 선호
  2. 외부 API — OpenAI gpt-image-1, Stability SDXL 등 (사용자 API 키 필요)
  3. ImageMagick 폴백 — 단순 타이포그래피 플레이스홀더

ImageMagick 폴백 명령

bash
convert -size 1600x2560 \
  -gradient '#1a1a2e-#2d1b4e' \
  -gravity center -font 'Apple-SD-Gothic-Neo' -pointsize 120 -fill white \
  -annotate +0-400 "{책 제목}" \
  -pointsize 70 -fill '#c9b8d8' -annotate +0+600 "{부제}" \
  -pointsize 50 -fill white -annotate +0+1000 "Toby-AI" \
  {slug}/cover.png

폰트가 없으면 -font Helvetica 또는 시스템 기본 폰트 사용.

검증 체크

  • 해상도 ≥ 1600×2560
  • 썸네일(200×320)로 축소해도 제목 읽힘
  • 저자 표기 존재 (기본값 Toby-AI, 사용자 지정 시 그 값 — 이미지 안 또는 메타데이터 예정)
  • 클리셰 회피 (기본 그라데이션, 스톡사진 느낌 없음)

프롬프트 기록

cover_prompt.md:

markdown
# Cover Design Log

## Version 1 (YYYY-MM-DD)
- Concept: {A/B/C}
- Tool: {mcp / api / imagemagick}
- Prompt:

...

- Result: cover.png
- Notes: {성공/조정 필요 부분}

## Version 2 ...

실패 대응

  • 이미지 API 실패 → ImageMagick 폴백
  • ImageMagick 미설치 → 오케스트레이터에 brew install imagemagick 지시 요청, 임시로 단색 PNG 생성
  • 생성 결과가 클리셰이거나 제목이 잘 안 보임 → 프롬프트 구체화 (색상·구도 강화) 후 재시도

재생성 시

  • 이전 cover.png를 cover_v{N}.png로 백업
  • cover_prompt.md에 새 버전 append
  • 콘셉트 변경 요청 → 3안부터 다시

Frequently asked questions

What does the Cover Design AI skill do?

Generate a book cover image (1600x2560 PNG) based on title, topic mood, and target audience. Craft image generation prompts in English, use available image-gen MCPs or APIs, fallback to ImageMagick typography. Use when creating, revising, or A/B testing book covers. Author attribution defaults to Toby-AI (override via orchestrator input).

Why use Cover Design on TypingMind?

Because you install it once and use it with any model. Cover Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cover Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tobyilee/book-writer/tree/main/.claude/skills/cover-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cover Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cover Design?

As many as you like. As long as a model supports skills, you can use Cover Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cover Design AI skill free?

Yes. It is published on GitHub by tobyilee under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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