Agent skill

Article Cover Image Generator

by JimLiu in JimLiu/baoyu-skills

Generates article cover images by combining five dimensions, with 11 color palettes and 7 rendering styles, in cinematic, widescreen or square formats.

MITAuto-check passedMedia & Creative

Install Article Cover Image Generator

skills CLI
$ npx skills add JimLiu/baoyu-skills --skill baoyu-cover-image -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JimLiu/baoyu-skills baoyu-cover-image --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/JimLiu/baoyu-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/baoyu-cover-image .claude/skills/baoyu-cover-image && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
baoyu-cover-image
GitHub stars
27k
Used in
3 other repos
Token cost
~4.4k tokens
SKILL.md length
1,769 words
Files
37 (incl. references)
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

Generates article cover images by combining five dimensions, with 11 color palettes and 7 rendering styles, in cinematic, widescreen or square formats.

  • Works in 6 steps: Load Preferences ⛔ BLOCKING → Analyze Content → Confirm Options ⚠️ → …
  • Making a cover image for a blog post or article
  • SKILL.md covers User Input Tools, Image Generation Tools, Confirmation Policy and Options, plus 8 more sections
  • Calls codex

What it does

A cover is built from five choices: type, palette, rendering, text and mood. The skill combines 11 color palettes with 7 rendering styles, and the reference folder holds a file for each palette, such as cool, dark, duotone, earth, elegant and macaron, plus dimension notes on font, mood and text, an auto-selection guide and a base prompt.

Three aspect ratios are supported: cinematic at 2.35 to 1, widescreen at 16 to 9, and square at 1 to 1. A watermark guide and a preferences schema cover saved settings and first-time setup, and the skill asks for choices through the runtime's built-in question tool, or a numbered list when none exists.

Images are rendered by a backend picked in order: one you name in the request, a saved preference in EXTEND.md, then automatic selection, which uses Codex's imagegen skill when present and otherwise the codex CLI through baoyu-image-gen if a login is active.

When your agent uses it

  • Making a cover image for a blog post or article
  • Choosing a palette and rendering style for a cover
  • Producing the same cover in widescreen and square formats

Example prompts

  • “Generate a cover image for my article on remote team onboarding in widescreen.”
  • “Make a square cover with a dark palette and a calm mood for this newsletter issue.”
  • “Create a cinematic cover for my essay on the history of the printing press.”

Requirements

  • A working image backend, either the imagegen skill or baoyu-image-gen

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Load Preferences ⛔ BLOCKING
  2. Analyze Content
  3. Confirm Options ⚠️
  4. Create Prompt
  5. Generate Image
  6. Completion Report

What it can do on your machine

Read from SKILL.md and the folder at commit 1567581. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • codex

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Article Cover Image Generator loads about 4.4k tokens when it runs, and up to ~26k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 1,769 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~26k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from JimLiu/baoyu-skills at commit 1567581, republished under its MIT licence (© JimLiu). 1,769 words, ~4,421 tokens.

Download SKILL.mdSave it as .claude/skills/baoyu-cover-image/SKILL.md (or your agent's skills folder). This skill also uses 36 other files; get the full folder from GitHub.
name
baoyu-cover-image
description
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".
version
1.117.5

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 named imagegen is listed, you are running inside Codex and MUST use it: invoke via the Skill tool with skill: "imagegen", passing the saved prompt file's content (plus output path and aspect ratio per Codex imagegen's own args). Codex imagegen is 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 different preferred_image_backend.
    • Codex via codex exec (codex-imagegen) — if the current runtime exposes no native imagegen skill but the codex CLI is on PATH with an active codex login, route through baoyu-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 native GenerateImage tool, you are running inside Cursor and it outranks any non-native skill the same way Codex imagegen does. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed as description; (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 in reference_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.md defaults, 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: true in EXTEND.md counts 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

OptionDescription
--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-titleAlias for --text none
--quickSkip confirmation, use auto-selection
--ref <files...>Reference images for style/composition guidance

Five Dimensions

DimensionValuesDefault
Typehero, conceptual, typography, metaphor, scene, minimalauto
Palettewarm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone, macaronauto
Renderingflat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-printauto
Textnone, title-only, title-subtitle, text-richtitle-only
Moodsubtle, balanced, boldbalanced
Fontclean, handwritten, serif, displayclean

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)
Show full SKILL.md (709 more words)Show less
Step 0: Load Preferences ⛔ BLOCKING

Check EXTEND.md in priority order — the first one found wins:

PriorityPathScope
1.baoyu-skills/baoyu-cover-image/EXTEND.mdProject
2${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-cover-image/EXTEND.mdXDG
3$HOME/.baoyu-skills/baoyu-cover-image/EXTEND.mdUser home
ResultAction
FoundLoad, 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
  1. Save reference images (if provided) → references/workflow/reference-images.md
  2. Save source content (if pasted, save to source.md)
  3. Analyze content: topic, tone, keywords, visual metaphors
  4. Deep analyze references ⚠️: Extract specific, concrete elements (see reference-images.md)
  5. Detect language: Compare source, user input, EXTEND.md preference
  6. 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 to refs/, pass via --ref at generation. No description file needed — the model sees the face directly.
  • Model does NOT support --ref (Jimeng, Seedream 3.0): Create refs/ref-NN-{slug}.md with 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

ConditionSkippedStill Asked
--quick or quick_mode: true6 dimensionsAspect ratio (unless --aspect)
All 6 + --aspect specifiedAllNone
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 frontmatter references list
  • 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
  1. Backup existing cover.png if regenerating
  2. Select backend via the ## Image Generation Tools rule at the top: use whatever is available; if multiple, ask the user once. Do this once per session before any generation.
  3. Write the full final prompt to prompts/01-cover-[slug].md (hard requirement) BEFORE invoking the backend.
  4. Process references from prompt frontmatter:
    • direct usage → pass via --ref (use ref-capable backend)
    • style/palette → extract traits, append to prompt
  5. Generate: Call the chosen backend with the prompt file, output path, aspect ratio.
    • codex-imagegen: see references/codex-imagegen.md for the invocation contract (preferred baoyu-image-gen --provider codex-cli path, runtime wrapper discovery, parameter notes, stdout schema, batch semantics).
    • Codex imagegen (native) or other runtime-native tools / baoyu-image-gen skill: per the rule in ## Image Generation Tools above.
  6. 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

ActionSteps
RegenerateBackup → Update prompt file FIRST → Regenerate
Change dimensionBackup → 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

© JimLiu, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 36 other files (references) in skills/baoyu-cover-image of JimLiu/baoyu-skills.

  • SKILL.md
  • 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
  • … and 20 more

Open the folder on GitHubat commit 1567581

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in JimLiu/baoyu-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Questions about Article Cover Image Generator

What does Article Cover Image Generator do?

Generates article cover images by combining five dimensions, with 11 color palettes and 7 rendering styles, in cinematic, widescreen or square formats. A cover is built from five choices: type, palette, rendering, text and mood. The skill combines 11 color palettes with 7 rendering styles, and the reference folder holds a file for each palette, such as cool, dark, duotone, earth, elegant and macaron, plus dimension notes on font, mood and text, an auto-selection guide and a base prompt.

When should I use Article Cover Image Generator?

Article Cover Image Generator fits situations like: making a cover image for a blog post or article; choosing a palette and rendering style for a cover; producing the same cover in widescreen and square formats.

How do I install Article Cover Image Generator in Claude Code?

Run `npx skills add JimLiu/baoyu-skills --skill baoyu-cover-image -a claude-code`. Or copy the skill folder (skills/baoyu-cover-image in JimLiu/baoyu-skills) into .claude/skills/baoyu-cover-image in your project. Claude Code loads it when a task matches its description.

How do I install Article Cover Image Generator in Codex?

Run `npx skills add JimLiu/baoyu-skills --skill baoyu-cover-image -a codex`. Or copy the skill folder (skills/baoyu-cover-image in JimLiu/baoyu-skills) into .agents/skills/baoyu-cover-image in your project. Codex loads it when a task matches its description.

Can I use Article Cover Image Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add JimLiu/baoyu-skills --skill baoyu-cover-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/baoyu-cover-image, .gemini/skills/baoyu-cover-image, .github/skills/baoyu-cover-image and .opencode/skills/baoyu-cover-image in your project.

What does Article Cover Image Generator need to run?

Going by SKILL.md and its folder, Article Cover Image Generator needs the command-line tools its instructions call (codex). Our summary lists: A working image backend, either the imagegen skill or baoyu-image-gen.

Does Article Cover Image Generator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Article Cover Image Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Article Cover Image Generator use?

Article Cover Image Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Article Cover Image Generator use?

About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 22k tokens, read only when the agent opens those files.

What are the alternatives to Article Cover Image Generator?

Skills that share tags, products or a category with Article Cover Image Generator: Thumbnail Creator (mohitagw15856/pm-claude-skills, 1.4k stars), Web Asset Generator (alonw0/web-asset-generator, 514 stars), SEO Image Generator (AgriciDaniel/claude-seo, 19k stars) and KrillinAI Cover Image (krillinai/OpenCreator, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Article Cover Image Generator?

JimLiu (a GitHub user) maintains it in JimLiu/baoyu-skills, which has 26,507 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on September 10, 2026.

Source: JimLiu/baoyu-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.