
Cover Image Generator
FreeCreate custom cover images for articles effortlessly.
Free · Opens the source repo
What Cover Image Generator does
The Cover Image Generator is a specialized tool designed for creating visually appealing cover images tailored for articles. This skill allows users to customize images based on five distinct dimensions: type, palette, rendering style, text, and mood. With a selection of 11 color palettes and 7 rendering styles, users can achieve a wide variety of artistic effects to match their content's theme. The generator supports multiple aspect ratios, including cinematic (2.35:1), widescreen (16:9), and square (1:1), ensuring that the images fit seamlessly into different platforms and formats.
When using the Cover Image Generator, the process is straightforward. Users are prompted to provide input regarding the desired image characteristics, which can be done through built-in user-input tools or simple text responses. The skill is designed to confirm the user's choices before generating the image, ensuring that the final output meets their expectations. This confirmation step is crucial, as it allows for adjustments to be made based on user feedback, enhancing the overall quality of the generated cover images.
This skill is particularly useful for writers, bloggers, and content creators who need to produce high-quality visuals for their articles without the need for extensive graphic design skills. It streamlines the image creation process, allowing users to focus on their content while still achieving professional-looking results. Whether you're looking to create a minimalistic design or something more vibrant and complex, the Cover Image Generator provides the necessary tools to bring your vision to life.
However, it's important to note that this skill is specifically focused on raster image generation and does not support SVG or other code-based rendering methods. Users should also be aware that if the skill cannot access a suitable backend for image generation, it will prompt for further instructions, ensuring that users are always in control of the output process.
When to use it
Use this tool when you need to create cover images for articles, blogs, or any content that requires an engaging visual header.
When not to use it
This skill is not suitable for users looking for vector graphics or those needing advanced graphic design features beyond basic image generation.
What you can build with it
Blog Post Cover
Generate an eye-catching cover image for your latest blog post that aligns with your content's theme.
Social Media Promotion
Create visually appealing images to promote your articles on social media platforms, ensuring they stand out.
Ebook Cover Design
Quickly design a cover image for your ebook, choosing from various styles and palettes to attract readers.
How to install Cover Image Generator
View source1. Install with the skills CLI
npx skills add jimliu/baoyu-skills/baoyu-cover-image --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by jimliuCover 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):
- 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.
Image Generation Tools
When this skill needs to render an image, resolve the backend in this order:
- Current-request override — if the user names a specific backend in the current message, use it.
- Saved preference — if
EXTEND.mdsetspreferred_image_backendto a backend available right now, use it. - 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 — 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.
- Codex (
- 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) |
--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
Galleries
Types: hero, conceptual, typography, metaphor, scene, minimal → Details: references/types.md
Palettes: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone, macaron → 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 in priority order — the first one found wins:
| Priority | Path | Scope |
|---|---|---|
| 1 | .baoyu-skills/baoyu-cover-image/EXTEND.md | Project |
| 2 | ${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-cover-image/EXTEND.md | XDG |
| 3 | $HOME/.baoyu-skills/baoyu-cover-image/EXTEND.md | User home |
| 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
- Save reference images (if provided) → references/workflow/reference-images.md
- Save source content (if pasted, save to
source.md) - Analyze content: topic, tone, keywords, visual metaphors
- Deep analyze references ⚠️: Extract specific, concrete elements (see reference-images.md)
- Detect language: Compare source, user input, EXTEND.md preference
- 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 torefs/, pass via--refat generation. No description file needed — the model sees the face directly. - Model does NOT support
--ref(Jimeng, Seedream 3.0): Createrefs/ref-NN-{slug}.mdwith 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 ⚠️
Hard gate: this step is mandatory per the Confirmation Policy — Steps 3–4 cannot start until the user confirms here (or explicitly opts out with --quick / quick_mode: true / equivalent wording in the current request).
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 frontmatterreferenceslist - 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
- Backup existing
cover.pngif regenerating - Select backend via the
## Image Generation Toolsrule at the top: use whatever is available; if multiple, ask the user once. Do this once per session before any generation. - Write the full final prompt to
prompts/01-cover-[slug].md(hard requirement) BEFORE invoking the backend. - Process references from prompt frontmatter:
directusage → pass via--ref(use ref-capable backend)style/palette→ extract traits, append to prompt
- Generate: Call the chosen backend with the prompt file, output path, aspect ratio.
codex-imagegen: see references/codex-imagegen.md for the invocation contract (preferredbaoyu-image-gen --provider codex-clipath, runtime wrapper discovery, parameter notes, stdout schema, batch semantics).- Codex
imagegen(native) or other runtime-native tools /baoyu-image-genskill: per the rule in## Image Generation Toolsabove.
- 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 |
Text correction policy:
- If the title/subtitle is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
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
Changing Preferences
EXTEND.md lives at the path noted in Step 0. Three ways to change it:
- Edit directly — open EXTEND.md and change fields. Full schema: references/config/preferences-schema.md.
- Reconfigure interactively — delete EXTEND.md (or ask "reconfigure baoyu-cover-image preferences" / "重新配置"). The next run re-triggers first-time setup.
- Common one-line edits:
preferred_image_backend: auto— default; runtime-native tool wins, falls back to the only installed backend, asks only if multiple non-native are present.preferred_image_backend: codex-imagegen— pin to Codex's built-in.preferred_image_backend: baoyu-image-gen— pin to the baoyu-image-gen skill.preferred_image_backend: ask— confirm backend every run.watermark.enabled: true,preferred_type,preferred_palette,preferred_rendering,default_aspect,quick_mode: true,language— shift the auto-selection defaults and confirmation flow.
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
Frequently asked questions about Cover Image Generator
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