academy-guide
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends…
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",
Claude Code
$ npx -y skills add guanyang/open-agent-hub --skill baoyu-xhs-images --agent claude-code
Codex
$ npx skills add guanyang/open-agent-hub --skill baoyu-xhs-images -a codex -y
Cursor
$ npx skills add guanyang/open-agent-hub --skill baoyu-xhs-images -a cursor -y
Gemini CLI
$ npx skills add guanyang/open-agent-hub --skill baoyu-xhs-images -a gemini-cli -y
GitHub Copilot
$ npx skills add guanyang/open-agent-hub --skill baoyu-xhs-images -a github-copilot -y
OpenCode
$ npx skills add guanyang/open-agent-hub --skill baoyu-xhs-images -a opencode -y
Windsurf
$ npx skills add guanyang/open-agent-hub --skill baoyu-xhs-images -a windsurf -y
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-imagesBreak down complex content into eye-catching image card series with multiple style options.
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.
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:
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.
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:
Default behavior: **confirm before generation**.
Respond in the user's language across questions, progress, errors, and completion summary. Keep technical tokens (style names, file paths, code) in English.
| Option | Description | |--------|-------------| | `--style <name>` | Visual style (see Styles below) | | `--layout <name>` |
A lightweight, zero-dependency CLI tool to manage and activate capabilities for AI coding assistants (such as Claude Code, Cursor, Trae, etc.).
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Ask which skill or flow fits your situation. A router over the skills in this repo.