Agent skill · Design & Presentation

baoyu-cover-image

Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 11 color palettes and 7 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".

JimLiugithub.com/JimLiuGitHub ↗
claude-codecodexMIT
Install
npx skills add JimLiu/baoyu-skills --skill baoyu-cover-image --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 35
SKILL.md size: 17 KB
Bundled scripts: none
Version: 1.117.5
Path: skills/baoyu-cover-image/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 24,562
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Cover Image Generator Generate elegant cover images for articles with 5-dimensional customization. ## User Input Tools When this skill prompts the user, follow this tool-selection rule (priority order): 1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent. 2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question. 3. **Batching**: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order. Concrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes. ## Image Generation Tools When this skill needs to render an image, resolve the backend in this order: 1. **Current-request override** — if the user names a specific backend in the current message, use it. 2. **Saved preference** — if `EXTEND.md` sets `preferred_image_backend` to a backend available right now, use it. 3. **Auto-select** (when the preference is `auto`, unset, o

What's inside
Steps it walks through
  1. User Input Tools
  2. Image Generation Tools
  3. Confirmation Policy
  4. Options
  5. Five Dimensions
  6. Galleries
  7. File Structure
  8. Workflow
  9. Progress Checklist
  10. Flow
  11. Step 0: Load Preferences ⛔ BLOCKING
  12. Step 1: Analyze Content
  13. Step 2: Confirm Options ⚠️
  14. Step 3: Create Prompt
Ships with 24 files
  • references/auto-selection.md
  • references/base-prompt.md
  • references/codex-imagegen.md
  • references/compatibility.md
  • references/config/first-time-setup.md
  • references/config/preferences-schema.md
  • references/config/watermark-guide.md
  • references/dimensions/font.md
  • references/dimensions/mood.md
  • references/dimensions/text.md
  • references/palettes/cool.md
  • references/palettes/dark.md
  • references/palettes/duotone.md
  • references/palettes/earth.md
  • references/palettes/elegant.md
  • references/palettes/macaron.md
  • references/palettes/mono.md
  • references/palettes/pastel.md
  • references/palettes/retro.md
  • references/palettes/vivid.md
  • references/palettes/warm.md
  • references/renderings/chalk.md
  • references/renderings/digital.md
  • references/renderings/flat-vector.md
first 24 of 35
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About this skill
What does the baoyu-cover-image skill do?

Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 11 color palettes and 7 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".

How do I install it?

Run `npx skills add JimLiu/baoyu-skills --skill baoyu-cover-image --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From JimLiu/baoyu-skills, a repository with 24,562 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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