baoyu-cover-image – Design & UI skill for AI agents
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".
Install the baoyu-cover-image skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/baoyu-cover-image-36027.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /baoyu-cover-image – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/baoyu-cover-image-36027.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $baoyu-cover-image – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/baoyu-cover-image-36027.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /baoyu-cover-image – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/baoyu-cover-image-36027.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /baoyu-cover-image – then describe the task you want done.
SKILL.md content
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, or the pinned backend isn't available):
- Codex (
imagegen) — first, inspect your available-skills / tool inventory. If a skill namedimagegenis listed, you are running inside Codex and MUST use it: invoke via theSkilltool withskill: "imagegen", passing the saved prompt file's content (plus output path and aspect ratio per Codeximagegen's own args). Codeximagegenis the official raster backend in that runtime and outranks any non-native skill (e.g.,baoyu-image-gen) unless the user has explicitly pinned a differentpreferred_image_backend. - Codex via
codex exec(codex-imagegen) — if the current runtime exposes no nativeimagegenskill but thecodexCLI is onPATHwith an activecodex login, route throughbaoyu-image-gen --provider codex-cli(preferred), or — if baoyu-image-gen is unavailable — invoke the bundled wrapper directly. Details, parameters, and the runtime-discovery procedure live in [references/codex-imagegen.md](references/codex-imagegen.md) — load that file only when this branch is selected. - Cursor (
GenerateImage) — if the runtime exposes a nativeGenerateImagetool, you are running inside Cursor and it outranks any non-native skill the same way Codeximagegendoes. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed asdescription; (b) it does not accept an output directory — it saves to a tool-managed location, so after generation copy/move the file to the skill's expected output path (e.g.,outputs/.../NN-xxx.png). Reference images go inreference_image_paths. - Other runtime-native tools — if the runtime exposes a different native image tool (e.g., Hermes
image_generate), use it the same way. - Otherwise, if exactly one non-native backend is installed (e.g.,
baoyu-image-gen), use it. - Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
4. If none are available, tell the user and ask how to proceed.
⛔ Never substitute SVG, HTML, canvas, or other code-based rendering for raster image generation. Codex imagegen's own description says it should be used "when the output should be a bitmap asset rather than repo-native code or vector." If you cannot resolve a raster backend via step 3, fall through to step 4 and ask the user — do not silently emit SVG, write inline <svg> markup, or produce HTML/CSS art as a substitute. This applies even if the article/section seems "diagram-like": the consumer skill calling this rule has already decided that a raster image is what it needs.
⛔ Never repair rendered text by painting over a generated bitmap. Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace title/subtitle text inside an already generated cover image. If text is wrong or unclear, regenerate from a corrected prompt, switch to a lower-text or no-title variant, or ask the user which imperfect candidate to keep.
Setting preferred_image_backend: ask forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the ## Changing Preferences section below.
Prompt file requirement (hard): write each image's full, final prompt to a standalone file under prompts/ (naming: NN-{type}-[slug].md) BEFORE invoking any backend. The backend receives the prompt file (or its content); the file is the reproducibility record and lets you switch backends without regenerating prompts.
Concrete tool names (imagegen, GenerateImage, image_generate, baoyu-image-gen) above are examples — substitute the local equivalents under the same rule.
Confirmation Policy
Default behavior: confirm before generation.
- Treat explicit skill invocation, a file path, matched keywords/presets,
EXTEND.mddefaults, and any documented auto-selection as recommendation inputs only. None of them authorizes skipping confirmation. - Do not start Step 3 or Step 4 until the user confirms the dimensions / aspect / language / backend choices.
- Skip confirmation only when the current request explicitly says to do so, for example:
--quick, "直接生成", "不用确认", "跳过确认", "按默认出图", or equivalent wording.quick_mode: trueinEXTEND.mdcounts as a standing explicit opt-out — set it only when you want every run to skip Step 2. - If confirmation is skipped explicitly, state the assumed dimensions / aspect / language / backend in the next user-facing update before generating.
Options
| Option | Description |
|--------|-------------|
| --type <name> | hero, conceptual, typography, metaphor, scene, minimal |
| --palette <name> | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone, macaron |
| --rendering <name> | flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print |
| --style <name> | Preset shorthand (see [Style Presets](references/style-presets.md)) |
| --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, macaron | 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](references/auto-selection.md)
Galleries
Types: hero, conceptual, typography, metaphor, scene, minimal
→ Details: [references/types.md](references/types.md)
Palettes: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone, macaron
→ Details: [references/palettes/](references/palettes/)
Renderings: flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print
→ Details: [references/renderings/](references/renderings/)
Text Levels: none (pure visual) | title-only (default) | title-subtitle | text-rich (with tags)
→ Details: [references/dimensions/text.md](references/dimensions/text.md)
Mood Levels: subtle (low contrast) | balanced (default) | bold (high contrast)
→ Details: [references/dimensions/mood.md](references/dimensions/mood.md)
Fonts: clean (sans-serif) | handwritten | serif | display (bold decorative)
→ Details: [references/dimensions/font.md](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 imageSlug: 2-4 words, kebab-case. Conflict: append -YYYYMMDD-HHMMSS
Workflow
Progress Checklist
Cover Image Progress:
- [ ] Step 0: Check preferences (EXTEND.md) ⛔ BLOCKING
- [ ] Step 1: Anal… (full content is in the download package)
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