baoyu-infographic
by JimLiubaoyu-infographic is a prompt framework for structured infographic creation with 21 layouts and 20 styles. It helps analyze source content, choose the right layout and style, and generate clear visual summaries for UI design, comparisons, workflows, and other content-heavy explainers.
This skill scores 82/100, which means it is a solid directory listing candidate: agents get clear trigger phrases, concrete invocation patterns, and substantial reference material that should reduce guesswork versus a generic infographic prompt. Directory users can make a credible install decision because the repo explains the layout×style system, supported options, and underlying generation framework, though execution expectations are still more prompt-driven than tool-backed.
- Strong triggerability: SKILL.md explicitly names when to use it and provides slash-command examples with layout, style, aspect, and language options.
- High agent leverage: 21 layout references, multiple style references, and an analysis framework give reusable structure beyond a one-off prompt.
- Good progressive disclosure: starts with simple usage, then offers galleries and deeper reference docs for layout/style selection.
- No install command or supporting scripts are provided, so actual execution depends on the host environment understanding the skill conventions.
- Some referenced options and pairings in excerpts appear broader than the visible support files, which may create minor ambiguity about the full available style set.
Overview of baoyu-infographic skill
What baoyu-infographic actually does
The baoyu-infographic skill is a prompt framework for turning source content into a structured infographic prompt, not just a generic “make this pretty” instruction. Its main value is the combination of layout selection and visual style selection, with a large reference library for both. If you need an AI to create a clear visual summary, comparison graphic, process diagram, or dense UI-design explainer, baoyu-infographic gives you more control than an ordinary one-shot prompt.
Best fit for UI Design and content-heavy visuals
baoyu-infographic for UI Design is especially useful when your material already has structure: feature sets, workflows, before/after comparisons, design systems, product principles, onboarding flows, or information architecture. It is a strong fit for designers, PMs, technical writers, and educators who want publication-ready outputs without inventing layout logic from scratch.
Why users choose baoyu-infographic skill
What makes the baoyu-infographic skill worth installing is the decision support around infographic composition. The repo includes an analysis framework, a reusable base prompt, a structured content template, and many layout/style reference files. That means you are not guessing which format fits your material; you can map timelines to linear-progression, comparisons to binary-comparison, hierarchies to hierarchical-layers, and multi-topic overviews to bento-grid.
How to Use baoyu-infographic skill
Install context and first files to read
For baoyu-infographic install, add the parent skill repo to your skill system, then open the skill folder at skills/baoyu-infographic. Read these files first in this order:
SKILL.mdreferences/analysis-framework.mdreferences/base-prompt.mdreferences/structured-content-template.md
Then inspect the specific layout and style files you plan to use, such as references/layouts/bento-grid.md or references/layouts/binary-comparison.md. This reading path matters because the skill’s quality comes from its reference system, not from a short command alone.
How baoyu-infographic usage works in practice
The documented call pattern is:
/baoyu-infographic path/to/content.md/baoyu-infographic path/to/content.md --layout hierarchical-layers --style technical-schematic/baoyu-infographic path/to/content.md --aspect portrait --lang zh
You can also invoke /baoyu-infographic and paste content directly. In practice, the skill needs:
- a complete source text
- a clear output goal
- an intended audience
- preferred layout or permission to recommend one
- preferred style, aspect ratio, and language
If your source is messy, convert it into sections first. The skill performs better when the input already separates title, key points, comparisons, steps, labels, and must-keep facts.
Turn a rough goal into a strong baoyu-infographic prompt
Weak input: “Make an infographic about our design system.”
Stronger input:
- Goal: explain the design system to new product designers
- Audience: junior designers and PMs
- Must include: token hierarchy, spacing scale, component states, accessibility rules
- Best structure: hierarchy + modules
- Visual preference: clean, technical, readable
- Constraints: portrait, English, minimal decorative text, preserve exact terminology
That kind of input helps baoyu-infographic usage because the skill is built around information architecture. If you leave the structure vague, the model may choose an attractive but wrong layout.
Practical workflow and quality tips
A high-yield workflow is:
- Analyze the content with
references/analysis-framework.md. - Choose one layout based on information shape, not aesthetics.
- Choose one style based on audience and brand tone.
- Use
references/base-prompt.mdas the generation scaffold. - Iterate by changing one variable at a time: layout, style, aspect, or content density.
For UI design topics, start with:
bento-gridfor multi-part overviewsbinary-comparisonfor old vs new UIhierarchical-layersfor design principles and system levelslinear-progressionfor onboarding or workflow steps
baoyu-infographic skill FAQ
Is baoyu-infographic better than a normal infographic prompt?
Usually yes, if your content has real structure. A normal prompt can generate visuals, but the baoyu-infographic skill helps the model reason about which layout matches the content type. That reduces random composition choices and improves consistency across repeated jobs.
Is baoyu-infographic beginner-friendly?
Yes, but only if you use the references instead of skipping them. Beginners can get decent results with defaults, but the skill becomes much more useful once you learn how analysis-framework.md and the layout docs work together. You do not need to read all 40+ references; read only the layouts and styles relevant to your task.
When is baoyu-infographic a poor fit?
Skip baoyu-infographic when you need:
- a freeform poster with no informational structure
- brand-perfect production assets with strict design-system compliance
- chart-heavy reporting that should be built in BI or design tools
- long-form documents that have not been distilled yet
It is strongest when the job is “explain clearly in one visual,” not “invent an entire brand campaign.”
How to Improve baoyu-infographic skill
Give stronger source material, not just longer text
The fastest way to improve baoyu-infographic output is to supply cleaner source structure. Preserve exact facts, but organize them into:
- headline
- audience
- 3-7 major sections
- required labels
- comparisons or sequences
- non-negotiable terms
This matches the repo’s emphasis on data integrity and clear learning objectives.
Choose layout by information shape, then style by tone
A common failure mode is choosing a style first because it looks cool. Better results come from choosing the layout first:
- sequence →
linear-progression - compare two things →
binary-comparison - nested priority →
hierarchical-layers - many related modules →
bento-grid
Then pick style for tone: corporate-memphis for business clarity, ikea-manual or technical-schematic for instructional UI content, craft-handmade for friendly explainers.
Iterate after the first draft with specific corrections
Do not say “make it better.” Give revision instructions tied to structure:
- reduce text per panel by 30%
- merge repeated points into one module
- emphasize the primary user flow
- preserve exact terminology for tokens and components
- switch from
bento-gridtohierarchical-layersbecause the content is conceptual, not modular
That kind of iteration improves the baoyu-infographic guide experience much more than aesthetic-only feedback.
Improve adoption by testing one real workflow
Before committing to the baoyu-infographic skill, test it on one realistic artifact: a product explainer, design-system summary, onboarding flow, or feature comparison. If the chosen layout makes the content easier to scan and the references reduce prompt rewriting, it is a good install. If your team mostly needs custom visual art rather than structured explanation, this skill may be too opinionated for the job.