baoyu-cover-image

Generates article cover images using five customizable dimensions and multiple raster backends.

2|Updated May 30, 2026
One-click install
npx skills add https://github.com/virahitvin8/crafty-gis --skill baoyu-cover-image-virahitvin8
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baoyu-cover-image
Source: https://github.com/virahitvin8/crafty-gis/tree/main/GIT_STAR/assignment-generator/antigravity-skills-main/antigravity-skills-main/skills/baoyu-cover-image
Command: npx skills add https://github.com/virahitvin8/crafty-gis --skill baoyu-cover-image-virahitvin8

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Creating consistent, well-composed cover images for articles requires design decisions about type, palette, rendering style, text density, and mood that most writers cannot make quickly or reproduce reliably. ## Core Features & Use Cases - Five-Dimension Customization: Combine 6 cover types, 11 color palettes, 7 rendering styles, 4 text levels, and 3 mood levels, with content-driven auto-selection when dimensions are omitted. - Multi-Backend Raster Generation: Route prompts to runtime-native image tools (Codex imagegen, Hermes image_generate) or external backends like baoyu-image-gen, with a hard rule against substituting SVG or HTML for raster output. - Persistent Preferences: Store watermark, default aspect ratio, output directory, quick mode, and backend pinning in an EXTEND.md file at project or user level. - Use Case: A blogger finishing a technical article asks for a cover image; the skill analyzes the content, recommends a conceptual type with a cool palette and digital rendering, confirms the choices, writes a reproducible prompt file, and generates a 16:9 cover.png. ## Quick Start Ask the assistant to generate a cover image for your article, optionally specifying flags like --palette cool --rendering flat-vector --aspect 16:9.

Frequently Asked Questions about baoyu-cover-image

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a cover image for an article?

Invoke the skill with your article content or title, and it analyzes the content to recommend a type, palette, rendering, text level, mood, and font. After you confirm the dimensions, it writes a prompt file and calls an available image generation backend to produce cover.png.

What image generation backends does this skill support?

It prefers runtime-native tools such as Codex imagegen or Hermes image_generate, then falls back to baoyu-image-gen or the codex CLI wrapper. You can pin a backend with preferred_image_backend in EXTEND.md or set it to ask for per-run confirmation.

Can I skip the confirmation step when generating covers?

Yes, pass the --quick flag or set quick_mode: true in EXTEND.md to skip the six-dimension confirmation. The skill still asks about aspect ratio unless you specify --aspect, and it states the assumed choices before generating.

How do I use reference images for cover style?

Save reference images to the refs/ directory and pass them via --ref when the backend supports it. The skill also requires detailed MUST/REQUIRED textual descriptions of reference elements in the prompt, since models often ignore reference images passed alone.

Why does the skill refuse to fix text in a generated cover?

The skill prohibits patching bitmaps with ImageMagick, Pillow, Canvas, or SVG overlays to repair garbled title text. Instead, it regenerates from a corrected prompt file with a new output path so the flawed candidate is preserved for comparison.

What aspect ratios are supported for cover images?

Supported ratios are 16:9 (default), 2.35:1 cinematic, 4:3, 3:2, 1:1 square, and 3:4 portrait. Set a default in EXTEND.md with default_aspect or override per run with the --aspect flag.