baoyu-cover-image
Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 11 color palettes and 7 rendering styles.
Skill by EthanYoQ
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/ethanyoq-baoyu-cover-image
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About
Use cases: design, writing
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What's inside
- Skill 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".
- License
- MIT
- Instructions
- 290 lines in SKILL.md · view on GitHub
Before installing
- Instructions read files in your home folder (~/.ssh, ~/.aws…)
Files (35)
- SKILL.md
- auto-selection.md · references/
- base-prompt.md · references/
- codex-imagegen.md · references/
- compatibility.md · references/
- first-time-setup.md · references/config/
- preferences-schema.md · references/config/
- watermark-guide.md · references/config/
- font.md · references/dimensions/
- mood.md · references/dimensions/
- text.md · references/dimensions/
- cool.md · references/palettes/
- dark.md · references/palettes/
- duotone.md · references/palettes/
- earth.md · references/palettes/
- elegant.md · references/palettes/
- macaron.md · references/palettes/
- mono.md · references/palettes/
- pastel.md · references/palettes/
- retro.md · references/palettes/
- vivid.md · references/palettes/
- warm.md · references/palettes/
- chalk.md · references/renderings/
- digital.md · references/renderings/
- flat-vector.md · references/renderings/
- hand-drawn.md · references/renderings/
- painterly.md · references/renderings/
- pixel.md · references/renderings/
- screen-print.md · references/renderings/
- style-presets.md · references/
- types.md · references/
- visual-elements.md · references/
- confirm-options.md · references/workflow/
- prompt-template.md · references/workflow/
- reference-images.md · references/workflow/
SKILL.md (first lines)
# Cover Image Generator
Generate elegant cover images for articles with 5-dimensional customization.
## Project Override: Cover Is One Visual, Not the Whole System
For this project, use this skill only for article covers or true hero visuals. Do not use it to generate every body illustration.
Before creating a cover prompt, use `wechat-visual-director` to choose the cover route. The route must express the article's central tension, promise, or metaphor; it should not simply decorate the title.
Codex native image generation is preferred. If the native `image_gen`/`imagegen` tool is available, use it directly with the saved prompt content and requested aspect ratio. Do not route through another computer's Codex CLI unless explicitly requested.
Create at least two distinct cover routes when the article is important or when the user is unhappy with repetitive imagery. Distinct means different subject/metaphor/composition, not just another palette.
## 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](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
| 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)From EthanYoQ/Skill-hub, MIT.
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Signals
- Stars
- 11
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- Sep 19, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/EthanYoQ/Skill-hub
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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baoyu-cover-image skill. Agent Mart. https://agentmart.dev/skills/ethanyoq-baoyu-cover-image (last updated 2026-10-24)