Baoyu Cover Image

The baoyu-cover-image skill generates customized article cover images using five configurable dimensions: type, palette, rendering style, text overlay, and mood across multiple aspect ratios (cinematic, widescreen, and square). It serves content creators and writers who need to produce visually cohesive cover artwork by automatically analyzing article content or accepting explicit parameters across 10 color palettes and 7 rendering techniques. The skill solves the problem of time-consuming manual cover design by combining AI generation with structured customization options that eliminate tedious back-and-forth iterations.

skills.sh installs: 32.6K
GitHub stars: 27.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add jimliu/baoyu-skills --skill baoyu-cover-image --agent claude-code

Installs into .claude/skills of the current project.

Files

Cover Image Generator

User Input Tools

When this skill prompts the user, follow this tool-selection rule (priority order):

Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.
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.
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.