baoyu-comic
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation
Install / Use
npx skills add JimLiu/baoyu-skills --skill baoyu-comicInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Customer SupportSupported Platforms
Our assessment of baoyu-comic
baoyu-comic scores 97/100 on our quality scale, 7th of 105 Customer Support skills we index (top 7%).
Its SKILL.md is 22 KB long, well organised into 22 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.
With 26,131 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 15 days ago, so baoyu-comic is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
baoyu-comic compared with similar skills
All 4 of these similar skills score higher than baoyu-comic; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| baoyu-comic (this skill)by JimLiu | 97 | 26.1k | 15d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.4k | 10d ago | CLAUDE.md |
| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
Frequently asked questions
- How do I install baoyu-comic?
- Run
npx skills add JimLiu/baoyu-skills --skill baoyu-comic. The install tabs above show the steps for each supported agent. - Which AI agents does baoyu-comic work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is baoyu-comic safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is baoyu-comic still maintained?
- The repository was last updated 15 days ago, so baoyu-comic is actively maintained.
Skill content
View source on GitHubname: 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 - npx
Knowledge Comic Creator
Create original knowledge comics with flexible art style × tone combinations.
User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
- Prefer built-in user-input tools exposed by the current agent runtime — e.g.,
AskUserQuestion,request_user_input,clarify,ask_user, or any equivalent. - 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.
- 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:
- Current-request override — if the user names a specific backend in the current message, use it.
- Saved preference — if
EXTEND.mdsetspreferred_image_backendto a backend available right now, use it. - 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 namedimagegenis listed, you are running inside Codex and MUST use it: invoke via theSkilltool withskill: "imagegen", passing the saved prompt file's content (plus output path and aspect ratio per Codeximagegen's own args). Codeximagegenis 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 differentpreferred_image_backend. - Codex via
codex exec(codex-imagegen) — if the current runtime exposes no nativeimagegenskill but thecodexCLI is onPATHwith an activecodex login, route throughbaoyu-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 — load that file only when this branch is selected. - Cursor (
GenerateImage) — if the runtime exposes a nativeGenerateImagetool, you are running inside Cursor and it outranks any non-native skill the same way Codeximagegendoes. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed asdescription; (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 inreference_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.
- Codex (
- 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 dialogue, sound effects, panel labels, or any other text inside an already generated comic page. If text is wrong or unclear, regenerate from a corrected prompt, redraw the page with less or no on-image text, 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.
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:
- 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.
- If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to
generation_batch_sizeimages at a time. Default:4. An explicit user request in the current message, such as--batch-size 4or "并行4张一起生成", overrides EXTEND.md. - If neither native batch nor parallel tool calls are available, generate sequentially.
Rules:
- Honor workflow dependencies first: generate
characters/characters.pngbefore pages that use it as a reference. - Never start the first page batch until all selected page prompt files exist 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.
Reference Images
Users may supply reference images to guide art style, palette, scene composition, or subject. This is 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: Accept via --ref <files...> or when the user provides file paths / pastes images in conversation.
- File path(s) → copy to
refs/NN-ref-{slug}.{ext}alongside the comic output - Pasted image with no path → ask the user for the path (per the User Input Tools rule above), or extract style traits verbally as a text fallback
- No reference → skip this section
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:
- Verify each referenced file exists on disk
- If
usage: directAND the chosen backend accepts multiple reference images → pass both the character sheet (Step 7.2) and the user refs via the backend's ref parameter; compress images first per Step 7.1's guidance to avoid payload failures - If the backend accepts only one ref → prefer the character sheet for pages with recurring characters; embed user-ref traits in the prompt body instead
- For
style/paletteusage → embed extracted traits in every page's prompt text (applies regardless of backend capability)
Options
Visual Dimensions
| Option | Values | Description |
|--------|--------|-------------|
| --art | ligne-claire (default), manga, realistic, ink-brush, chalk, minimalist | Art style / rendering technique |
| --tone | neutral (default), warm, dramatic, romantic, energetic, vintage, action | Mood / atmosphere |
| --layout | standard (default), cinematic, dense, splash, mixed, webtoon, four-panel | Panel arrangement |
| --aspect | 3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen) | Page aspect ratio |
| --lang | auto (default), zh, en, ja, etc. | Output language |
| --ref <files...> | File paths | Reference images applied to every page for style / palette / scene guidance. See Reference Images above. |
| --batch-size <n> | 1-8 | Temporary page generation batch size for this run. Default: generation_batch_size from EXTEND.md, otherwise 4. |
Partial Workflow Options
| Option | Description |
|--------|-------------|
| --storyboard-only | Generate storyboard only, skip prompts and images |
| --prompts-only | Generate storyboard + prompts, skip images |
| --images-only | Generate images from existing prompts directory |
| --regenerate N | Regenerate specific page(s) only (e.g., 3 or 2,5,8) |
Details: references/partial-workflows.md
Art, Tone & Preset Catalogue
-
Art styles (6):
ligne-claire,manga,realistic,ink-brush,chalk,minimalist. Full definitions atreferences/art-styles/<style>.md. -
Tones (7):
neutral,warm,dramatic,romantic,energetic,vintage,action. Full definitions atreferences/tones/<tone>.md. -
Presets (5) with special rules beyond plain art+tone:
| Preset | Equivalent | Hook | |--------|-----------|------| |
ohmsha| manga + neutral | Visual metaphors, no talking heads, gadget reveals | |wuxia| ink-brush + action | Qi effects, combat visuals, atmospheric | |shoujo| manga + romantic | Decorative elements, eye details, romantic beats | |concept-story| manga + warm | Visual symbol system, growth arc, dialogue+action balance | |four-panel| minimalist + neutral + four-panel layout | 起承转合 structure, B&W + spot color, stick-figure characters |Full rules at
references/presets/<preset>.md— load the file when a preset is picked. -
Compatibility matrix and content-signal → preset table live in references/auto-selection.md. Read it before recommending combinations in Step 2.
Script Directory
Important: All scripts are located in the scripts/ subdirectory of this skill.
Agent Execution Instructions:
- Determine this SKILL.md file's directory path as
{baseDir} - Script path =
{baseDir}/scripts/<script-name>.ts - Replace all
{baseDir}in this document with the actual path - Resolve
${BUN_X}runtime: ifbuninstalled →bun; ifnpxavailable →npx -y bun; else suggest installing bun
Script Reference:
| Script | Purpose |
|--------|---------|
| scripts/merge-to-pdf.ts | Merge comic pages into PDF |
File Structure
Output directory: comic/{topic-slug}/
- Slug: 2-4 words kebab-case from topic (e.g.,
alan-turing-bio) - Conflict: append timestamp (e.g.,
turing-story-20260118-143052)
Contents:
| File | Description |
|------|-------------|
| source-{slug}.{ext} | Source files |
| analysis.md | Content analysis |
| storyboard.md | Storyboard with panel breakdown |
| characters/characters.md | Character defini
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
