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…
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
Claude Code
$ npx -y skills add guanyang/open-agent-hub --skill baoyu-comic --agent claude-code
Codex
$ npx skills add guanyang/open-agent-hub --skill baoyu-comic -a codex -y
Cursor
$ npx skills add guanyang/open-agent-hub --skill baoyu-comic -a cursor -y
Gemini CLI
$ npx skills add guanyang/open-agent-hub --skill baoyu-comic -a gemini-cli -y
GitHub Copilot
$ npx skills add guanyang/open-agent-hub --skill baoyu-comic -a github-copilot -y
OpenCode
$ npx skills add guanyang/open-agent-hub --skill baoyu-comic -a opencode -y
Windsurf
$ npx skills add guanyang/open-agent-hub --skill baoyu-comic -a windsurf -y
name: baoyu-comic
description: Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
version: 1.117.4
metadata:
openclaw:
homepage: https://github.com/JimLiu/baoyu-skills#baoyu-comic
requires:
anyBins:
- bun
- npxWhen 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 dialogue, sound effects, panel labels, or any other text inside an already generated comic page. Regenerate from a corrected prompt, redraw the page with less or no on-image 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 is saved and verified, generate images in batches by default:
1. Use the backend's native batch / multi-task interface if it exists. Each task keeps its own prompt file, output path, aspect ratio, session ID, and direct reference images. 2. Else, if the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time (default `4`). An explicit request in the current message (e.g. `--batch-size 4`, "并行4张一起生成") overrides EXTEND.md. 3. Else generate sequentially.
Rules:
User-supplied reference images guide art style, palette, scene composition, or subject. They are **separate from** the auto-generated character sheet (Step 7.1); both can coexist — user refs guide the look, the character sheet anchors recurring character identity.
**Intake** via `--ref <files...>` or file paths / pasted images in conversation:
**Usage modes** (per reference):
| Usage | Effect | |-------|--------| | `direct` | Pass the file to the backend as a reference image on every page (or selected pages) | | `style` | Extract style traits (line treatment, texture, mood) and append to every page's prompt body | | `palette` | Extract hex colors and append to every page's prompt body |
**Record in each page's prompt frontmatter** when refs exist:
references:
- ref_id: 01
filename: 01-ref-scene.png
usage: direct**At generation time**:
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