Agent skill · Data & Analytics

infographics

Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codecan modify filesships scriptsMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill infographics --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 17 KB
Bundled scripts: yes
Allowed tools: ReadWriteEditBash
Path: skills/03-学术演示与可视化/infographics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Infographics ## Overview Infographics are visual representations of information, data, or knowledge designed to present complex content quickly and clearly. **This skill uses Nano Banana Pro AI for infographic generation with Gemini 3 Pro quality review and Perplexity Sonar for research.** **How it works:** - (Optional) **Research phase**: Gather accurate facts and statistics using Perplexity Sonar - Describe your infographic in natural language - Nano Banana Pro generates publication-quality infographics automatically - **Gemini 3 Pro reviews quality** against document-type thresholds - **Smart iteration**: Only regenerates if quality is below threshold - Professional-ready output in minutes - No design skills required **Quality Thresholds by Document Type:** | Document Type | Threshold | Description | |---------------|-----------|-------------| | marketing | 8.5/10 | Marketing materials - must be compelling | | report | 8.0/10 | Business reports - professional quality | | presentation | 7.5/10 | Slides, talks - clear and engaging | | social | 7.0/10 | Social media content | | internal | 7.0/10 | Internal use | | draft | 6.5/10 | Working drafts | | default | 7.5/10 | General pur

What's inside
Steps it walks through
  1. Overview
  2. Quick Start
  3. When to Use This Skill
  4. Research Integration
  5. Automatic Data Gathering (--research)
  6. What Research Provides
  7. When to Use Research
  8. Research Output
  9. Infographic Types
  10. 1. Statistical/Data-Driven (--type statistical)
  11. 2. Timeline (--type timeline)
  12. 3. Process/How-To (--type process)
  13. 4. Comparison (--type comparison)
  14. 5. List/Informational (--type list)
Ships with 5 files
  • references/color_palettes.md
  • references/design_principles.md
  • references/infographic_types.md
  • scripts/generate_infographic.py
  • scripts/generate_infographic_ai.py
Commands it runs
Generate a list infographic (default threshold 7.5/10)
python skills/infographics/scripts/generate_infographic.py \
Generate for marketing (highest threshold: 8.5/10)
Generate with corporate style
Generate with colorblind-safe palette
Generate WITH RESEARCH for accurate, up-to-date data
Research and generate statistical infographic
Research for timeline infographic
Research for comparison infographic
Asia Pacific 53%, Europe 15%, Americas 20%, Africa 12%" \
More from qinyan-academic-skills
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About this skill
What does the infographics skill do?

Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill infographics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going