baoyu-infographic
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".
npx skills add guanyang/open-agent-hub --skill baoyu-infographic --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Generates professional infographics by evaluating content and proposing a combination of a layout and a visual style from a defined gallery. It can analyze user input, recommend layout×style pairings, and produce a publication-ready infographic.
How it works
- Uses a two-dimensional choice system: layout (21 options) and style (22 options). Freely combines any layout with any style.
- Provides user input tools: prefers built-in prompts like AskUserQuestion or clarify to gather necessary details.
- Image generation workflow includes a risk-checked sequence for raster backends; prompts are written to a prompts/ file before invoking any backend. It enforces not rendering via vector code and requires a raster backend when generating imagery.
- Reference image handling is supported: intake via --ref, copying to refs/ for guidance during generation, and embedding style/palette cues if references are not used.
- Output structure is infographic/{topic-slug}/ with files including source, analysis, structured-content, prompts/infographic.md, and infographic.png.
When to use it
Use when the user asks to create an infographic or terms in languages like Chinese or related phrases (e.g., "信息图", "可视化", "高密度信息大图"). It prioritizes a keyword shortcut if the input matches known terms to select a leading layout and top styles.
What it can touch
- Tools and prompts are used to interact with the user and to manage output files. Image backends are resolved via a priority sequence for raster generation (current backend preference, saved preferences, and runtime-native options).
- Output artifacts are written to a structured directory, including a prompts file under prompts/ and a final PNG infographic.
Caveats
- It requires confirmation before generation unless an explicit opt-out is provided in the request (per the confirmation policy).
- The workflow includes a hard requirement to write a standalone prompt file before backend invocation; the prompt file is stored under prompts/ and the backend uses that content for generation.
- It disallows rendering using SVG/HTML/CSS as a substitute for raster output and prohibits post-generation text editing on the bitmap; if text is incorrect, a re-prompt is suggested.
# 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): 1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent. 2. **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. 3. **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: 1. **Current-request override** — if the user names a specific backend in the current message, use it. 2. **Saved preference** — if `EXTEND.md` sets `preferred_image_backend` to a backend available right now, use it. 3. **Auto-
- User Input Tools
- Image Generation Tools
- Reference Images
- Confirmation Policy
- Options
- Layout Gallery (21)
- Style Gallery (22)
- Recommended Combinations
- Keyword Shortcuts
- Output Structure
- Core Principles
- Workflow
- Step 1: Setup & Analyze
- Step 2: Generate Structured Content → structured-content.md
What does the baoyu-infographic skill do?
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".
How do I install it?
Run `npx skills add guanyang/open-agent-hub --skill baoyu-infographic --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 guanyang/open-agent-hub, a repository with 940 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.