baoyu-cover-image
Cover Image Generator
Generate elegant cover images for articles with 5-dimensional customization.
Usage
# Auto-select dimensions based on content
/baoyu-cover-image path/to/article.md
# Quick mode: skip confirmation
/baoyu-cover-image article.md --quick
# Specify dimensions
/baoyu-cover-image article.md --type conceptual --palette warm --rendering flat-vector
# Style presets (shorthand for palette + rendering)
/baoyu-cover-image article.md --style blueprint
# With reference images
/baoyu-cover-image article.md --ref style-ref.png
# Direct content input
/baoyu-cover-image --palette mono --aspect 1:1 --quick
[paste content]
Options
| Option | Description |
|---|---|
--type <name> |
hero, conceptual, typography, metaphor, scene, minimal |
--palette <name> |
warm, elegant, cool, dark, earth, vivid, pastel, mono, retro |
--rendering <name> |
flat-vector, hand-drawn, painterly, digital, pixel, chalk |
--style <name> |
Preset shorthand (see Style Presets) |
--text <level> |
none, title-only, title-subtitle, text-rich |
--mood <level> |
subtle, balanced, bold |
--font <name> |
clean, handwritten, serif, display |
--aspect <ratio> |
16:9 (default), 2.35:1, 4:3, 3:2, 1:1, 3:4 |
--lang <code> |
Title language (en, zh, ja, etc.) |
--no-title |
Alias for --text none |
--quick |
Skip confirmation, use auto-selection |
--ref <files...> |
Reference images for style/composition guidance |
Five Dimensions
| Dimension | Values | Default |
|---|---|---|
| Type | hero, conceptual, typography, metaphor, scene, minimal | auto |
| Palette | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro | auto |
| Rendering | flat-vector, hand-drawn, painterly, digital, pixel, chalk | auto |
| Text | none, title-only, title-subtitle, text-rich | title-only |
| Mood | subtle, balanced, bold | balanced |
| Font | clean, handwritten, serif, display | clean |
Auto-selection rules: references/auto-selection.md
Galleries
Types: hero, conceptual, typography, metaphor, scene, minimal → Details: references/types.md
Palettes: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro → Details: references/palettes/
Renderings: flat-vector, hand-drawn, painterly, digital, pixel, chalk → Details: references/renderings/
Text Levels: none (pure visual) | title-only (default) | title-subtitle | text-rich (with tags) → Details: references/dimensions/text.md
Mood Levels: subtle (low contrast) | balanced (default) | bold (high contrast) → Details: references/dimensions/mood.md
Fonts: clean (sans-serif) | handwritten | serif | display (bold decorative) → Details: references/dimensions/font.md
File Structure
Output directory per default_output_dir preference:
same-dir:{article-dir}/imgs-subdir:{article-dir}/imgs/independent(default):cover-image/{topic-slug}/
<output-dir>/
├── source-{slug}.{ext} # Source files
├── refs/ # Reference images (if provided)
│ ├── ref-01-{slug}.{ext}
│ └── ref-01-{slug}.md # Description file
├── prompts/cover.md # Generation prompt
└── cover.png # Output image
Slug: 2-4 words, kebab-case. Conflict: append -YYYYMMDD-HHMMSS
Workflow
Progress Checklist
Cover Image Progress:
- [ ] Step 0: Check preferences (EXTEND.md) ⛔ BLOCKING
- [ ] Step 1: Analyze content + save refs + determine output dir
- [ ] Step 2: Confirm options (6 dimensions) ⚠️ unless --quick
- [ ] Step 3: Create prompt
- [ ] Step 4: Generate image
- [ ] Step 5: Completion report
Flow
Input → [Step 0: Preferences] ─┬─ Found → Continue
└─ Not found → First-Time Setup ⛔ BLOCKING → Save EXTEND.md → Continue
↓
Analyze + Save Refs → [Output Dir] → [Confirm: 6 Dimensions] → Prompt → Generate → Complete
↓
(skip if --quick or all specified)
Step 0: Load Preferences ⛔ BLOCKING
Check EXTEND.md existence (priority: project → user):
test -f .baoyu-skills/baoyu-cover-image/EXTEND.md && echo "project"
test -f "$HOME/.baoyu-skills/baoyu-cover-image/EXTEND.md" && echo "user"
| Result | Action |
|---|---|
| Found | Load, display summary → Continue |
| Not found | ⛔ Run first-time setup (references/config/first-time-setup.md) → Save → Continue |
CRITICAL: If not found, complete setup BEFORE any other steps or questions.
Step 1: Analyze Content
- Save reference images (if provided) → references/workflow/reference-images.md
- Save source content (if pasted, save to
source.md) - Analyze content: topic, tone, keywords, visual metaphors
- Deep analyze references ⚠️: Extract specific, concrete elements (see reference-images.md)
- Detect language: Compare source, user input, EXTEND.md preference
- Determine output directory: Per File Structure rules
Step 2: Confirm Options ⚠️
Full confirmation flow: references/workflow/confirm-options.md
| Condition | Skipped | Still Asked |
|---|---|---|
--quick or quick_mode: true |
6 dimensions | Aspect ratio (unless --aspect) |
All 6 + --aspect specified |
All | None |
Step 3: Create Prompt
Save to prompts/cover.md. Template: references/workflow/prompt-template.md
CRITICAL - References in Frontmatter:
- Files saved to
refs/→ Add to frontmatterreferenceslist - Style extracted verbally (no file) → Omit
references, describe in body - Before writing → Verify:
test -f refs/ref-NN-{slug}.{ext}
Reference elements in body MUST be detailed, prefixed with "MUST"/"REQUIRED", with integration approach.
Step 4: Generate Image
- Backup existing
cover.pngif regenerating - Check image generation skills; if multiple, ask preference
- Process references from prompt frontmatter:
directusage → pass via--ref(use ref-capable backend)style/palette→ extract traits, append to prompt
- Generate: Call skill with prompt file, output path, aspect ratio
- On failure: auto-retry once
Step 5: Completion Report
Cover Generated!
Topic: [topic]
Type: [type] | Palette: [palette] | Rendering: [rendering]
Text: [text] | Mood: [mood] | Font: [font] | Aspect: [ratio]
Title: [title or "visual only"]
Language: [lang] | Watermark: [enabled/disabled]
References: [N images or "extracted style" or "none"]
Location: [directory path]
Files:
✓ source-{slug}.{ext}
✓ prompts/cover.md
✓ cover.png
Image Modification
| Action | Steps |
|---|---|
| Regenerate | Backup → Update prompt file FIRST → Regenerate |
| Change dimension | Backup → Confirm new value → Update prompt → Regenerate |
Composition Principles
- Whitespace: 40-60% breathing room
- Visual anchor: Main element centered or offset left
- Characters: Simplified silhouettes; NO realistic humans
- Title: Use exact title from user/source; never invent
Extension Support
Custom configurations via EXTEND.md. See Step 0 for paths.
Supports: Watermark | Preferred dimensions | Default aspect/output | Quick mode | Custom palettes | Language
Schema: references/config/preferences-schema.md
References
Dimensions: text.md | mood.md | font.md Palettes: references/palettes/ Renderings: references/renderings/ Types: references/types.md Auto-Selection: references/auto-selection.md Style Presets: references/style-presets.md Compatibility: references/compatibility.md Visual Elements: references/visual-elements.md Workflow: confirm-options.md | prompt-template.md | reference-images.md Config: preferences-schema.md | first-time-setup.md | watermark-guide.md
More from zephyrwang6/myskill
web-scraper
Fetch and extract content from web pages, converting HTML to clean markdown. Use when users want to read web articles, extract information from URLs, scrape web content, or when the built-in WebFetch tool fails due to network restrictions. Trigger when user provides URLs to read, asks to fetch web content, or needs to extract text from websites.
246rss-aggregator
Aggregates and summarizes recent updates from a predefined list of RSS feeds. Use when the user asks for "recent updates", "what's new", or "RSS updates" within a specific timeframe.
196youtube-transcript-cn
|
108content-topic-generator
从文章、推文、社交媒体内容生成多角度选题,包括推文选题(140字完整内容)和公众号选题(含详细大纲)。支持延伸、反驳、扩充、热点结合四种策略。当用户需要基于现有内容创作新选题、分析文章生成衍生内容、或进行内容再创作时使用。适用场景:(1) 分析推文/文章并生成选题,(2) 创建公众号/社交媒体内容策划,(3) 将长文拆解为多个传播点,(4) 内容营销和话题策划。
99topic-collector
AI热点采集工具。从Twitter/X、Product Hunt、Reddit、Hacker News、博客等采集AI相关热点内容。当用户说"开始今日选题"、"采集热点"、"看看今天有什么新闻"、"今日AI热点"时触发。聚焦领域:Vibe Coding、Claude Skill、AI知识管理、AI模型更新、AI新产品、海外热点。
76topic-generator
AI选题生成工具。从采集的热点中筛选TOP10,生成完整选题方案。当用户说"生成选题"、"筛选热点"、"哪些值得写"时触发。输出包含:事件描述、核心角度、标题、写作方式。
71