Generate customizable article cover images across 5 independent dimensions and 3 aspect ratios.
Works with
Combines 6 image types (hero, conceptual, typography, metaphor, scene, minimal) with 10 color palettes and 7 rendering styles for fine-grained visual control
Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects, plus additional ratios (4:3, 3:2, 3:4)
Auto-analyzes article content to recommend dimensions, or accepts explicit flags for type, palette, rendering, text level
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbaoyu-cover-imageExecute the skills CLI command in your project's root directory to begin installation:
Fetches baoyu-cover-image from jimliu/baoyu-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate baoyu-cover-image. Access via /baoyu-cover-image in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Generate elegant cover images for articles with 5-dimensional customization.
# 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]
| Option | Description |
|---|---|
--type <name> |
hero, conceptual, typography, metaphor, scene, minimal |
--palette <name> |
warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone |
--rendering <name> |
flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print |
--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 |
| Dimension | Values | Default |
|---|---|---|
| Type | hero, conceptual, typography, metaphor, scene, minimal | auto |
| Palette | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone | auto |
| Rendering | flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print | 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
Types: hero, conceptual, typography, metaphor, scene, minimal → Details: references/types.md
Palettes: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone → Details: references/palettes/
Renderings: flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print → 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
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
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
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)
Check EXTEND.md existence (priority: project → user):
# macOS, Linux, WSL, Git Bash
test -f .baoyu-skills/baoyu-cover-image/EXTEND.md && echo "project"
test -f "${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-cover-image/EXTEND.md" && echo "xdg"
test -f "$HOME/.baoyu-skills/baoyu-cover-image/EXTEND.md" && echo "user"
# PowerShell (Windows)
if (Test-Path .baoyu-skills/baoyu-cover-image/EXTEND.md) { "project" }
$xdg = if ($env:XDG_CONFIG_HOME) { $env:XDG_CONFIG_HOME } else { "$HOME/.config" }
if (Test-Path "$xdg/baoyu-skills/baoyu-cover-image/EXTEND.md") { "xdg" }
if (Test-Path "$HOME/.baoyu-skills/baoyu-cover-image/EXTEND.md") { "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.
source.md)⚠️ People in Reference Images:
If reference images contain people who should appear in the cover:
--ref (default): Copy image to refs/, pass via --ref at generation. No description file needed — the model sees the face directly.--ref (Jimeng, Seedream 3.0): Create refs/ref-NN-{slug}.md with per-character description (hair, glasses, skin tone, clothing). Embed as MUST/REQUIRED instructions in prompt text.See reference-images.md for full decision table.
MUST use AskUserQuestion tool to present options as interactive selection — NOT plain text tables. Present up to 4 questions in a single AskUserQuestion call (Type, Palette, Rendering, Font + Settings). Each question shows the recommended option first with reason, followed by alternatives.
Full confirmation flow and question format: 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 |
Save to prompts/cover.md. Template: references/workflow/prompt-template.md
CRITICAL - References in Frontmatter:
refs/ → Add to frontmatter references listreferences, describe in bodytest -f refs/ref-NN-{slug}.{ext}Reference elements in body MUST be detailed, prefixed with "MUST"/"REQUIRED", with integration approach.
cover.png if regeneratingdirect usage → pass via --ref (use ref-capable backend)style/palette → extract traits, append to promptCover 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
| Action | Steps |
|---|---|
| Regenerate | Backup → Update prompt file FIRST → Regenerate |
| Change dimension | Backup → Confirm new value → Update prompt → Regenerate |
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
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
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
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ailabs-393/ai-labs-claude-skills
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mattpocock/skills
baoyu-cover-image is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
baoyu-cover-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
baoyu-cover-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
baoyu-cover-image is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: baoyu-cover-image is focused, and the summary matches what you get after install.
baoyu-cover-image has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: baoyu-cover-image is the kind of skill you can hand to a new teammate without a long onboarding doc.
baoyu-cover-image reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added baoyu-cover-image from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
baoyu-cover-image reduced setup friction for our internal harness; good balance of opinion and flexibility.
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