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/baoyu-xhs-images

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",

From plugin
baoyu-skills
27k22 skills

Claude Code

$ npx -y skills add JimLiu/baoyu-skills --skill baoyu-xhs-images --agent claude-code

SKILL.md

baoyu-xhs-images.SKILL.md
name: baoyu-xhs-images
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", baoyu-xhs-images, or wants social media infographic series.
version: 2.0.1
metadata:
  openclaw:
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-xhs-images

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

Resolve the image backend in this order:

1. **User names a backend** in the current message → use it. 2. **`preferred_image_backend`** in `EXTEND.md` names a backend available now → use it. `ask` means ask every run. 3. **Auto-select** (preference `auto`, unset, or the pinned backend is unavailable), first match wins:

  • **Codex `imagegen`** skill is in your available skills → you are in Codex and MUST use it: `Skill` with `skill: "imagegen"`, passing the prompt file's content plus output path and aspect ratio. It outranks non-native skills such as `baoyu-image-gen`.
  • **Codex via `codex exec` (`codex-imagegen`)**: no native `imagegen`, but the `codex` CLI is on `PATH` with an active `codex login` → `baoyu-image-gen --provider codex-cli` (preferred), or the bundled wrapper if baoyu-image-gen is unavailable. Load [references/codex-imagegen.md](references/codex-imagegen.md) only for this branch.
  • **Cursor `GenerateImage`** → use it (outranks non-native skills). It has no aspect-ratio parameter, so state the aspect ratio / dimensions in the `description` prompt; it saves to a tool-managed location, so copy the file to the expected output path (e.g., `outputs/.../NN-xxx.png`). Reference images go in `reference_image_paths`.
  • **Other runtime-native image tool** (e.g., Hermes `image_generate`) → use it the same way.
  • Exactly one non-native backend installed (e.g., `baoyu-image-gen`) → use it.
  • Several non-native backends → ask the user once, batched with other initial questions.

4. **None available** → tell the user and ask how to proceed.

**⛔ Raster only**: never substitute SVG, HTML/CSS, canvas, or other code-based rendering for a raster image, even for diagram-like content. If no raster backend resolves, go to step 4.

**⛔ No bitmap text patching**: never use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other overlay to cover, rewrite, erase, stroke, or replace titles, body copy, tags, or any other text inside an already generated image card. Regenerate from a corrected prompt, switch to a layout with less on-card text, or ask the user which imperfect candidate to keep.

**Prompt file (hard)**: before invoking any backend, write each image's full, final prompt to its own file under `prompts/` (`NN-{type}-[slug].md`) and pass that file (or its content) to the backend. It is the reproducibility record and lets you switch backends without rewriting prompts.

Change the pinned backend via `## Changing Preferences` below. Tool names above are examples; use the local equivalent in other runtimes.

Batch Generation Policy

After every prompt file for the current generation group has been saved and verified, generate images in batches by default.

Priority order:

1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images. 2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行 4 张一起生成", overrides EXTEND.md. 3. If neither native batch nor parallel tool calls are available, generate sequentially.

Rules:

  • Honor the image-1 anchor chain: generate image 1 first, then batch images 2+ using image 1 as the reference.
  • Never start a batch until every selected prompt file for that batch exists on disk.
  • Retry failed items once without regenerating successful items.
  • Do not use subagents merely to parallelize image rendering. Use subagents only for separate prompt iteration or creative exploration.

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 <name>` | Visual style (see Styles below) | | `--layout <name>` |

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@jimliu
Ships withbaoyu-skills

Skills shared by Baoyu for improving daily work efficiency with AI Agents (Claude Code, Codex, etc.).

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Questions about baoyu-xhs-images.

Which coding agents can use baoyu-xhs-images?
baoyu-xhs-images installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.