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/baoyu-infographic

@b0ac523 official
by Jim Liu 宝玉jimliu/baoyu-skills26k stars
2,896

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".

Use this Skill: https://skilld.dev/gh/jimliu/baoyu-skills/baoyu-infographic

This session only. Nothing lands on disk.

referencesstylespop-laboratory.md

≈544 tokens on demand. Your agent reads this file only when SKILL.md points to it.

pop-laboratory

Lab manual precision meets pop art color impact—coordinate systems, technical diagrams, and fluorescent accents on blueprint grid.

Color Palette

  • Background: Professional grayish-white with faint blueprint grid texture (#F2F2F2)
  • Primary: Muted teal/sage green (#B8D8BE) for major functional blocks and data zones
  • High-alert accent: Vibrant fluorescent pink (#E91E63) strictly for warnings, critical data, or "winner" highlights
  • Marker highlights: Vivid lemon yellow (#FFF200) as translucent highlighter effect for keywords
  • Line art: Ultra-fine charcoal brown (#2D2926) for technical grids, coordinates, and hairlines

Visual Elements

  • Coordinate-style labels on every module (e.g., R-20, G-02, SEC-08)
  • Technical diagrams: exploded views, cross-sections with anchor points, architectural skeletal lines
  • Vertical/horizontal rulers with precise markers (0.5mm, 1.8mm, 45°)
  • "Marker-over-print" effect: color blocks slightly offset from text, postmodern print feel
  • Cross-hair targets, mathematical symbols (Σ, Δ, ∞), directional arrows (X/Y axis)
  • Microscopic detail annotations alongside macroscopic bold headers
  • Corner metadata: tiny barcodes, timestamps, technical parameters
  • High contrast between massive bold headers and tiny 8pt-style annotations

Typography

  • Headers: Bold brutalist characters, high visual impact
  • Body: Professional sans-serif or crisp technical print
  • Numbers: Large, highlighted with yellow or blue to stand out
  • Annotations: Ultra-crisp, small technical labels

Style Enforcement

  • Strictly systematic color usage: only teal, pink, yellow, charcoal—no rainbow palette
  • Sufficient fine grid lines and coordinate annotations throughout
  • Maintain tension between large impactful headers and small precise parameters
  • Lab manual aesthetic: mix of microscopic details and macroscopic data

Avoid

  • Cute or cartoonish doodles
  • Soft pastels or generic textures
  • Empty white space
  • Flat vector stock icons
  • Organic or hand-drawn imperfections

Best For

Technical product guides, specification comparisons, precision-focused data visualization, engineering-adjacent content

Source: SKILL.md on GitHub

1 warning16d5 checks · Risk MEDIUM
  • Gen Agent Trust Hub16d

    The skill dynamically discovers and executes scripts to handle image generation and processes untrusted user content for prompt generation. It uses the bun runtime and well-known command-line tools to interact with image generation backends.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer6mo

    1/45 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at b0ac523. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Activeupdated 4 months ago
version
1.117.4
Other metadata
metadata
{
  "openclaw": {
    "homepage": "https://github.com/JimLiu/baoyu-skills#baoyu-infographic"
  }
}
  • infographic
  • image-generation
  • layout
  • visual-design
  • data-visualization
  • content-analysis
  • style-guide
  • prompt-engineering

README badge

README badge for jimliu/baoyu-skills/baoyu-infographic

Generates publication-ready infographics by combining one of 21 layout types with one of 22 visual styles, analyzing content to recommend optimal pairings. Targets use cases like timelines, comparisons, hierarchies, and data-rich guides across multiple languages and aspect ratios.

Generated from the current SKILL.md.

How many layout and style combinations are available?
21 layout types and 22 visual styles that can be freely combined. Common pairings are pre-recommended (e.g., linear-progression + craft-handmade for timelines), but any layout works with any style.
Does this skill generate raster images or code?
Raster images only. The skill resolves to an available image backend (Codex imagegen, Cursor GenerateImage, or baoyu-image-gen) and never substitutes SVG, HTML, or canvas rendering.
Can I provide reference images to guide the style?
Yes. You can pass reference images via --ref and specify usage mode (direct, style, or palette) to guide visual aesthetics, color, or composition.
What happens if I don't confirm the layout and style choices?
By default the skill requires confirmation before generation. Only --no-confirm or explicit skip-confirmation wording (like '直接生成') bypasses this step.
What languages does this skill support?
Multiple languages via the --lang option (en, zh, ja, etc.), with zh and en as primary targets based on the keyword detection and recommended combinations listed in the skill.

Generated from the current SKILL.md. These answers refresh after source changes.