baoyu-cover-image

jimliu/baoyu-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jimliu/baoyu-skills --skill baoyu-cover-image
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summary

Generate customizable article cover images across 5 independent dimensions and 3 aspect ratios.

  • 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
skill.md

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, 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

Five Dimensions

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

Galleries

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

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):

# 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.

Step 1: Analyze Content

  1. Save reference images (if provided) → references/workflow/reference-images.md
  2. Save source content (if pasted, save to source.md)
  3. Analyze content: topic, tone, keywords, visual metaphors
  4. Deep analyze references ⚠️: Extract specific, concrete elements (see reference-images.md)
  5. Detect language: Compare source, user input, EXTEND.md preference
  6. Determine output directory: Per File Structure rules

⚠️ People in Reference Images:

If reference images contain people who should appear in the cover:

  • Model supports --ref (default): Copy image to refs/, pass via --ref at generation. No description file needed — the model sees the face directly.
  • Model does NOT support --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.

Step 2: Confirm Options ⚠️

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

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 frontmatter references list
  • 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

  1. Backup existing cover.png if regenerating
  2. Check image generation skills; if multiple, ask preference
  3. Process references from prompt frontmatter:
    • direct usage → pass via --ref (use ref-capable backend)
    • style/palette → extract traits, append to prompt
  4. Generate: Call skill with prompt file, output path, aspect ratio
  5. 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

how to use baoyu-cover-image

How to use baoyu-cover-image on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add baoyu-cover-image
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jimliu/baoyu-skills --skill baoyu-cover-image

The skills CLI fetches baoyu-cover-image from GitHub repository jimliu/baoyu-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/baoyu-cover-image

Reload or restart Cursor to activate baoyu-cover-image. Access the skill through slash commands (e.g., /baoyu-cover-image) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ 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.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.429 reviews
  • Shikha Mishra· Dec 24, 2024

    baoyu-cover-image is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Fatima Choi· Dec 12, 2024

    baoyu-cover-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Rahul Santra· Nov 15, 2024

    baoyu-cover-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Fatima Robinson· Nov 3, 2024

    baoyu-cover-image is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Yusuf Abebe· Oct 22, 2024

    Solid pick for teams standardizing on skills: baoyu-cover-image is focused, and the summary matches what you get after install.

  • Pratham Ware· Oct 6, 2024

    baoyu-cover-image has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Daniel Sethi· Sep 17, 2024

    Keeps context tight: baoyu-cover-image is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ira Jackson· Sep 13, 2024

    baoyu-cover-image reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sophia Desai· Sep 5, 2024

    We added baoyu-cover-image from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • William Thompson· Aug 24, 2024

    baoyu-cover-image reduced setup friction for our internal harness; good balance of opinion and flexibility.

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