baoyu-infographic
Generate professional infographics with 21 layout types and 22 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics
Install / Use
npx skills add JimLiu/baoyu-skills --skill baoyu-infographicInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of baoyu-infographic
baoyu-infographic scores 97/100 on our quality scale, 114th of 1,937 Development & Engineering skills we index (top 6%).
Its SKILL.md is 19 KB long, well organised into 22 sections with 2 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-infographic 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-infographic compared with similar skills
All 4 of these similar skills score higher than baoyu-infographic; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| baoyu-infographic (this skill)by JimLiu | 97 | 26.1k | 15d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.4k | 10d ago | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 44.0k | 4d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 6d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
Frequently asked questions
- How do I install baoyu-infographic?
- Run
npx skills add JimLiu/baoyu-skills --skill baoyu-infographic. The install tabs above show the steps for each supported agent. - Which AI agents does baoyu-infographic 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-infographic 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-infographic still maintained?
- The repository was last updated 15 days ago, so baoyu-infographic is actively maintained.
Skill content
View source on GitHubname: baoyu-infographic description: Generate professional infographics with 21 layout types and 22 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", "可视化", or "高密度信息大图". version: 1.117.4 metadata: openclaw: homepage: https://github.com/JimLiu/baoyu-skills#baoyu-infographic
Infographic Generator
Two dimensions: layout (information structure) × style (visual aesthetics). Freely combine any layout with any style.
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 labels, headings, callouts, data values, or any other text inside an already generated infographic. If text is wrong or unclear, regenerate from a corrected prompt, switch to a layout with less 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.
Reference Images
Users may supply reference images to guide style, palette, composition, or subject.
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 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 |
| style | Extract style traits (line treatment, texture, mood) and append to the prompt body |
| palette | Extract hex colors from the image and append to the prompt body |
Record in prompts/infographic.md frontmatter when refs exist:
references:
- ref_id: 01
filename: 01-ref-brand.png
usage: direct
At generation time:
- Verify each referenced file exists on disk
- If
usage: directAND the chosen backend accepts reference images (e.g.,baoyu-image-genvia--ref) → pass the file via the backend's ref parameter - Otherwise → embed extracted
style/palettetraits in the prompt text
Confirmation Policy
Default behavior: confirm before generation.
- Treat explicit skill invocation, a file path, a matched keyword shortcut,
EXTEND.mddefaults, and the documented default combination as recommendation inputs only. None of them authorizes skipping confirmation. - Do not start Step 5 or Step 6 until the user confirms the combination/aspect/language/backend choices.
- Skip confirmation only when the current request explicitly says to do so, for example:
--no-confirm, "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 combination/aspect/language/backend in the next user-facing update before generating.
Options
| Option | Values |
|--------|--------|
| --layout | 21 options (see Layout Gallery), default: bento-grid |
| --style | 22 options (see Style Gallery), default: craft-handmade |
| --aspect | Named: landscape (16:9), portrait (9:16), square (1:1). Custom: any W:H ratio (e.g., 3:4, 4:3, 2.35:1) |
| --lang | en, zh, ja, etc. |
| --no-confirm | Skip Step 4 only when the user explicitly requests direct generation without confirmation |
| --ref <files...> | Reference images (file paths) for style / palette / composition / subject guidance |
Layout Gallery (21)
| Layout | Best For |
|--------|----------|
| linear-progression | Timelines, processes, tutorials |
| binary-comparison | A vs B, before-after, pros-cons |
| comparison-matrix | Multi-factor comparisons |
| hierarchical-layers | Pyramids, priority levels |
| tree-branching | Categories, taxonomies |
| hub-spoke | Central concept with related items |
| structural-breakdown | Exploded views, cross-sections |
| bento-grid | Multiple topics, overview (default) |
| iceberg | Surface vs hidden aspects |
| bridge | Problem-solution |
| funnel | Conversion, filtering |
| isometric-map | Spatial relationships |
| dashboard | Metrics, KPIs |
| periodic-table | Categorized collections |
| comic-strip | Narratives, sequences |
| story-mountain | Plot structure, tension arcs |
| jigsaw | Interconnected parts |
| venn-diagram | Overlapping concepts |
| winding-roadmap | Journey, milestones |
| circular-flow | Cycles, recurring processes |
| dense-modules | High-density modules, data-rich guides |
Full definitions live at references/layouts/<layout>.md.
Style Gallery (22)
| Style | Description |
|-------|-------------|
| craft-handmade | Hand-drawn, paper craft (default) |
| claymation | 3D clay figures, stop-motion |
| kawaii | Japanese cute, pastels |
| storybook-watercolor | Soft painted, whimsical |
| chalkboard | Chalk on black board |
| cyberpunk-neon | Neon glow, futuristic |
| bold-graphic | Comic style, halftone |
| aged-academia | Vintage science, sepia |
| corporate-memphis | Flat vector, vibrant |
| technical-schematic | Blueprint, engineering |
| origami | Folded paper, geometric |
| pixel-art | Retro 8-bit |
| ui-wireframe | Grayscale interface mockup |
| subway-map | Transit diagram |
| ikea-manual | Minimal line art |
| knolling | Organized flat-lay |
| lego-brick | Toy brick construction |
| pop-laboratory | Blueprint grid, coordinate markers, lab precision |
| morandi-journal | Hand-drawn doodle, warm Morandi tones |
| retro-pop-grid | 1970s retro pop art, Swiss grid, thick outlines |
| hand-drawn-edu | Macaron pastels, hand-drawn wobble, stick figures |
| retro-popup-pop | Retro popup collage, vintage UI, thick outlines, flat pop colors |
Full definitions live at references/styles/<style>.md.
Recommended Combinations
| Content Type | Layout + Style |
|--------------|----------------|
| Timeline/History | linear-progression + craft-handmade |
| Step-by-step | linear-progression + ikea-manual |
| A vs B | binary-comparison + corporate-memphis |
| Hierarchy | hierarchical-layers + craft-handmade |
| Overlap | venn-diagram + craft-handmade |
| Conversion | funnel + corporate-memphis |
| Cycles | circular-flow + craft-handmade |
| Technical | structural-breakdown + technical-schematic |
| Metrics | dashboard + corporate-memphis |
| Educational | bento-grid + chalkboard |
| Journey | winding-roadmap + storybook-watercolor |
| Categories | periodic-table + bold-graphic |
| Product Guide | dense-modules + morandi-journal |
| Technical Guide | dense-modules + pop-laboratory |
| Trendy Guide | dense-modules + retro-pop-grid |
| Retro Pop Guide | dense-modules + retro-popup-pop |
| Educational Diagram | hub-spoke + hand-drawn-edu |
| Process Tutorial | linear-progression + hand-drawn-edu |
Default combination: bento-grid + craft-handmade (fallback recommendation only — per the Confirmation Policy, defaults never bypass Step 4).
Keyword Shortcuts
When the user's input contains these keywords, use the mapped layout as the leading Step 3 recommendation and promote the listed styles to the top of the Step 3 list. Skip content-based layout inference for matched keywords. Append any Prompt Notes to the Step 5 prompt.
| User Keyword | Layout | Recomme
Truncated for display — read the full file on GitHub.
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Languages
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.
