Co-Pilot / 辅助式
更新于 a month ago

baoyu-cover-image

JJimLiu
2.0k
JimLiu/baoyu-skills/skills/baoyu-cover-image
82
Agent 评分

💡 摘要

根据内容分析生成优雅的手绘风格文章封面图像。

🎯 适合人群

内容创作者博客作者教育工作者市场营销专业人士平面设计师

🤖 AI 吐槽:看起来很能打,但别让配置把人劝退。

安全分析中风险

风险:Medium。建议检查:是否执行 shell/命令行指令;文件读写范围与路径穿越风险。以最小权限运行,并在生产环境启用前审计代码与依赖。


name: baoyu-cover-image description: Generate elegant cover images for articles. Analyzes content and creates eye-catching hand-drawn style cover images with multiple style options. Use when user asks to "generate cover image", "create article cover", or "make a cover for article".

Cover Image Generator

Generate hand-drawn style cover images for articles with multiple style options.

Usage

# From markdown file (auto-select style based on content) /baoyu-cover-image path/to/article.md # Specify a style /baoyu-cover-image path/to/article.md --style blueprint /baoyu-cover-image path/to/article.md --style warm /baoyu-cover-image path/to/article.md --style dark-atmospheric # Without title text /baoyu-cover-image path/to/article.md --no-title # Combine options /baoyu-cover-image path/to/article.md --style minimal --no-title # From direct text input /baoyu-cover-image [paste content or describe the topic] # Direct input with style /baoyu-cover-image --style playful [paste content]

Options

| Option | Description | |--------|-------------| | --style <name> | Specify cover style (see Style Gallery below) | | --aspect <ratio> | Aspect ratio: 2.35:1 (cinematic, default), 16:9 (widescreen), 1:1 (social) | | --lang <code> | Output language for title text (en, zh, ja, etc.) | | --no-title | Generate cover without title text (visual only) |

Style Gallery

| Style | Description | |-------|-------------| | elegant (Default) | Refined, sophisticated, understated | | flat-doodle | Bold outlines, pastel colors, cute rounded shapes | | blueprint | Technical schematics, engineering precision | | bold-editorial | Magazine cover impact, dramatic typography | | chalkboard | Black chalkboard, colorful chalk drawings | | dark-atmospheric | Cinematic dark mode, glowing accents | | editorial-infographic | Magazine explainer, visual storytelling | | fantasy-animation | Ghibli/Disney inspired, whimsical charm | | intuition-machine | Technical briefing, bilingual labels | | minimal | Ultra-clean, zen-like, focused | | nature | Organic, calm, earthy | | notion | Clean SaaS dashboard, productivity styling | | pixel-art | Retro 8-bit, nostalgic gaming aesthetic | | playful | Fun, creative, whimsical | | retro | Halftone dots, vintage badges, classic | | sketch-notes | Hand-drawn, educational, warm | | vector-illustration | Flat vector, black outlines, retro colors | | vintage | Aged paper, historical, expedition style | | warm | Friendly, approachable, human-centered | | watercolor | Soft hand-painted, natural warmth |

Detailed style definitions: references/styles/<style>.md

Auto Style Selection

When no --style is specified, the system analyzes content to select the best style:

| Content Signals | Selected Style | |----------------|----------------| | Architecture, system design, engineering | blueprint | | Product launch, keynote, marketing, brand | bold-editorial | | Education, classroom, tutorial, teaching | chalkboard | | Entertainment, creative, premium, cinematic | dark-atmospheric | | Technology explainer, science, research | editorial-infographic | | Storytelling, children, fantasy, magical | fantasy-animation | | Technical docs, academic, bilingual | intuition-machine | | Personal story, emotion, growth, life | warm | | Simple, zen, focus, essential | minimal | | Fun, easy, beginner, casual | playful | | Nature, eco, wellness, health, organic | nature | | Pop culture, 80s/90s nostalgia, badges | retro | | Product, SaaS, dashboard, productivity | notion | | Productivity, workflow, app, tools, cute | flat-doodle | | Gaming, retro tech, developer, 8-bit | pixel-art | | Educational, tutorial, knowledge sharing | sketch-notes | | Creative proposals, brand, toy-like | vector-illustration | | History, exploration, heritage, biography | vintage | | Lifestyle, travel, food, personal | watercolor | | Business, professional, strategy, analysis | elegant |

File Management

Output Directory

Each session creates an independent directory named by content slug:

cover-image/{topic-slug}/
├── source-{slug}.{ext}    # Source files (text, images, etc.)
├── prompts/
│   └── cover.md
└── cover.png

Slug Generation:

  1. Extract main topic from content (2-4 words, kebab-case)
  2. Example: "The Future of AI" → future-of-ai

Conflict Resolution

If cover-image/{topic-slug}/ already exists:

  • Append timestamp: {topic-slug}-YYYYMMDD-HHMMSS
  • Example: ai-future exists → ai-future-20260118-143052

Source Files

Copy all sources with naming source-{slug}.{ext}:

  • source-article.md (main text content)
  • source-logo.png (image from conversation)

Multiple sources supported: text, images, files from conversation.

Workflow

Step 1: Analyze Content

  1. Save source content (if not already a file):

    • If user provides a file path: use as-is
    • If user pastes content: save to source.md in target directory
  2. Extract key information:

    • Main topic: What is the article about?
    • Core message: What's the key takeaway?
    • Tone: Serious, playful, inspiring, educational?
    • Keywords: Identify style-signaling words
  3. Language detection:

    • Detect source language from content
    • Detect user language from conversation context
    • Note if source_language ≠ user_language (will ask in Step 3)

Step 2: Determine Options

  1. Style selection:

    • If --style specified, use that style
    • Otherwise, scan content for style signals and auto-select 3 candidates
    • Default to elegant if no clear signals
  2. Aspect ratio:

    • If --aspect specified, use that ratio
    • Otherwise, prepare options: 2.35:1 (cinematic), 16:9 (widescreen), 1:1 (social)

Step 3: Confirm Options

Purpose: Let user confirm all options in a single step before generation.

IMPORTANT: Present ALL options in a single confirmation step using AskUserQuestion. Do NOT interrupt workflow with multiple separate confirmations.

Determine which questions to ask:

| Question | When to Ask | |----------|-------------| | Style | Always (required) | | Aspect ratio | Always (offer common options) | | Language | Only if source_language ≠ user_language |

Present options (use AskUserQuestion with all applicable questions):

Question 1 (Style) - always:

  • Style A (recommended): [style name] - [brief description]
  • Style B: [style name] - [brief description]
  • Style C: [style name] - [brief description]
  • Custom: Provide custom style reference

Question 2 (Aspect) - always:

  • 2.35:1 Cinematic (Recommended) - ultra-wide, dramatic
  • 16:9 Widescreen - standard video/presentation
  • 1:1 Square - social media optimized

Question 3 (Language) - only if source ≠ user language:

  • [Source language] (matches content)
  • [User language] (your preference)

Language handling:

  • If source language = user language: Just inform user (e.g., "Title will be in Chinese")
  • If different: Ask which language to use for title text

Step 4: Generate Cover Concept

Create a cover image concept based on selected style:

Title (if included, max 8 characters):

  • Distill the core message into a punchy headline
  • Use hooks: numbers, questions, contrasts, pain points
  • Skip if --no-title flag is used

Visual Elements:

  • Style-appropriate imagery and icons
  • 1-2 symbolic elements representing the topic
  • Metaphors or analogies that fit the style

Step 5: Create Prompt File

Save prompt to prompts/cover.md with confirmed options.

All prompts are written in the user's confirmed language preference.

Prompt Format:

Cover theme: [topic in 2-3 words] Style: [selected style name] Aspect ratio: [confirmed aspect ratio] [If title included:] Title text: [8 characters or less, in confirmed language] Subtitle: [optional, in confirmed language] Visual composition: - Main visual: [description matching style] - Layout: [positioning based on title inclusion and aspect ratio] - Decorative elements: [style-appropriate elements] Color scheme: - Primary: [style primary color] - Background: [style background color] - Accent: [style accent color] Style notes: [specific style characteristics to emphasize] [If no title:] Note: No title text, pure visual illustration only.

Step 6: Generate Image

Image Generation Skill Selection:

  1. Check available image generation skills
  2. If multiple skills available, ask user to choose

Generation: Call selected image generation skill with prompt file, output path, and confirmed aspect ratio.

Step 7: Output Summary

Cover Image Generated!

Topic: [topic]
Style: [style name]
Aspect: [aspect ratio]
Title: [cover title] (or "No title - visual only")
Language: [confirmed language]
Location: [output path]

Preview the image to verify it matches your expectations.

Notes

  • Cover should be instantly understandable at small preview sizes
  • Title (if included) must be readable and impactful
  • Visual metaphors work better than literal representations
  • Maintain style consistency throughout the cover
  • Image generation typically takes 10-30 seconds
  • Title text uses user's confirmed language preference
  • Aspect ratio: 2.35:1 for cinematic/dramatic, 16:9 for widescreen, 1:1 for social media

Extension Support

Custom styles and configurations via EXTEND.md.

Check paths (priority order):

  1. .baoyu-skills/baoyu-cover-image/EXTEND.md (project)
  2. ~/.baoyu-skills/baoyu-cover-image/EXTEND.md (user)

If found, load before Step 1. Extension content overrides defaults.

五维分析
清晰度9/10
创新性7/10
实用性8/10
完整性9/10
可维护性8/10
优缺点分析

优点

  • 提供多种风格选项
  • 根据内容自动选择风格
  • 支持多种输入格式
  • 系统地组织输出文件

缺点

  • 仅限于预定义风格
  • 可能需要用户输入以获得最佳结果
  • 依赖内容分析的准确性

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免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。

版权归原作者所有 JimLiu.