--- name: baoyu-image-cards description: Generates infographic image card series with 12 visual styles, 8 layouts, and 3 color palettes. Breaks content into 1-10 cartoon-style image cards optimized for social media engagement. Use when user mentions "小红书图片", "小红书种草", "小绿书", "微信图文", "微信贴图", "image cards", "图片卡片", or wants social media infographic series. version: 1.56.2 metadata: openclaw: homepage: https://github.com/JimLiu/baoyu-skills#baoyu-image-cards --- # Image Card Series Generator Break down complex content into eye-catching image card series with multiple style options. ## 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): - If the current runtime exposes a native image tool (e.g., Codex `imagegen`, Hermes `image_generate`), use it. Runtime-native tools are preferred by default — agents that know their own tool inventory should surface the native one here. - Otherwise, if exactly one non-native backend is installed (e.g., `baoyu-imagine`), 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. 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 file is the reproducibility record and lets you switch backends without regenerating prompts. Concrete tool names (`imagegen`, `image_generate`, `baoyu-imagine`) 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 signals/presets, and `EXTEND.md` defaults as **recommendation inputs only**. None of them authorizes skipping confirmation. - Do **not** start Step 3 until the user completes Step 2. - Skip confirmation only when the current request explicitly says to do so, for example: `--yes`, "直接生成", "不用确认", "跳过确认", "按默认出图", or equivalent wording. - If confirmation is skipped explicitly, state the assumed strategy / style / layout / palette / count / backend in the next user-facing update before generating. ## Language Respond in the user's language across questions, progress, errors, and completion summary. Keep technical tokens (style names, file paths, code) in English. ## Options | Option | Description | |--------|-------------| | `--style ` | Visual style (see Styles below) | | `--layout ` | Information layout (see Layouts below) | | `--palette ` | Color override: macaron / warm / neon | | `--preset ` | Style + layout + optional palette shorthand (see Presets below; per-preset prompt fragments in `references/style-presets.md`) | | `--ref ` | Reference images applied to image 1 as the series anchor | | `--yes` | Non-interactive: skip all confirmations, use EXTEND.md or built-in defaults, auto-confirm recommended plan (Path A) | ## Dimensions Three independent knobs combine freely: | Dimension | Controls | Options | |-----------|----------|---------| | **Style** | Visual aesthetics (lines, decorations, rendering) | 12 styles (see Styles below) | | **Layout** | Information structure (density, arrangement) | 8 layouts (see Layouts below) | | **Palette** (optional) | Color override, replaces the style's default colors | macaron / warm / neon (see Palettes below) | Example: `--style notion --layout dense` makes an intellectual knowledge card; add `--palette macaron` to soften the colors without changing notion's rendering rules. A `--preset` is a shorthand for style + layout (+ optional palette). **Palette behavior**: no `--palette` → style's built-in colors; `--palette ` → overrides colors only, rendering rules unchanged. Some styles declare a `default_palette` (e.g., sketch-notes defaults to macaron). ## Styles (12) | Style | Description | |-------|-------------| | `cute` (Default) | Sweet, adorable, girly aesthetic | | `fresh` | Clean, refreshing, natural | | `warm` | Cozy, friendly, approachable | | `bold` | High impact, attention-grabbing | | `minimal` | Ultra-clean, sophisticated | | `retro` | Vintage, nostalgic, trendy | | `pop` | Vibrant, energetic, eye-catching | | `notion` | Minimalist hand-drawn line art, intellectual | | `chalkboard` | Colorful chalk on black board, educational | | `study-notes` | Realistic handwritten photo style, blue pen + red annotations + yellow highlighter | | `screen-print` | Bold poster art, halftone textures, limited colors, symbolic storytelling | | `sketch-notes` | Hand-drawn educational infographic, macaron pastels on warm cream, wobble lines | Per-style specifications: `references/presets/

Baoyu Image Cards

Install

Baoyu Image Cards

Install

Related Data Science & ML Skills

Related Data Science & ML Skills