baoyu-infographic
Generate professional infographics with 21 layout types and 22 visual styles.
Skill by JimLiu
Chalk Labs
Need help deploying baoyu-infographic?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jimliu-baoyu-infographic
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/baoyu-infographic
What's inside
- Skill name
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".
- License
- MIT
- Instructions
- 327 lines in SKILL.md · view on GitHub
Before installing
- Instructions read files in your home folder (~/.ssh, ~/.aws…)
Files (50)
- SKILL.md
- analysis-framework.md · references/
- base-prompt.md · references/
- codex-imagegen.md · references/
- first-time-setup.md · references/config/
- preferences-schema.md · references/config/
- bento-grid.md · references/layouts/
- binary-comparison.md · references/layouts/
- bridge.md · references/layouts/
- circular-flow.md · references/layouts/
- comic-strip.md · references/layouts/
- comparison-matrix.md · references/layouts/
- dashboard.md · references/layouts/
- dense-modules.md · references/layouts/
- funnel.md · references/layouts/
- hierarchical-layers.md · references/layouts/
- hub-spoke.md · references/layouts/
- iceberg.md · references/layouts/
- isometric-map.md · references/layouts/
- jigsaw.md · references/layouts/
- linear-progression.md · references/layouts/
- periodic-table.md · references/layouts/
- story-mountain.md · references/layouts/
- structural-breakdown.md · references/layouts/
- tree-branching.md · references/layouts/
- venn-diagram.md · references/layouts/
- winding-roadmap.md · references/layouts/
- structured-content-template.md · references/
- aged-academia.md · references/styles/
- bold-graphic.md · references/styles/
- chalkboard.md · references/styles/
- claymation.md · references/styles/
- corporate-memphis.md · references/styles/
- craft-handmade.md · references/styles/
- cyberpunk-neon.md · references/styles/
- hand-drawn-edu.md · references/styles/
- ikea-manual.md · references/styles/
- kawaii.md · references/styles/
- knolling.md · references/styles/
- lego-brick.md · references/styles/
- morandi-journal.md · references/styles/
- origami.md · references/styles/
- pixel-art.md · references/styles/
- pop-laboratory.md · references/styles/
- retro-pop-grid.md · references/styles/
- retro-popup-pop.md · references/styles/
- storybook-watercolor.md · references/styles/
- subway-map.md · references/styles/
- technical-schematic.md · references/styles/
- ui-wireframe.md · references/styles/
SKILL.md (first lines)
# 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-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 named `imagegen` is listed, you are running inside Codex and MUST use it: invoke via the `Skill` tool with `skill: "imagegen"`, passing the saved prompt file's content (plus output path and aspect ratio per Codex `imagegen`'s own args). Codex `imagegen` is 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 different `preferred_image_backend`.
- **Codex via `codex exec` (`codex-imagegen`)** — if the current runtime exposes no native `imagegen` skill but the `codex` CLI is on `PATH` with an active `codex login`, route through `baoyu-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](references/codex-imagegen.md) — load that file only when this branch is selected.
- **Cursor (`GenerateImage`)** — if the runtime exposes a native `GenerateImage` tool, you are running inside Cursor and it outranks any non-native skill the same way Codex `imagegen` does. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed as `description`; (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 in `reference_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.
4. **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:
```yaml
references:
- ref_id: 01
filename: 01-ref-brand.png
usage: direct
```
**At generation time**:
- Verify each referenced file exists on disk
- If `usage: direct` AND the chosen backend accepts reference images (e.g., `baoyu-image-gen` via `--ref`) → pass the file via the backend's ref parameter
- Otherwise → embed extracted `style`/`palette` traits in the prompt text
## Confirmation Policy
Default behavior: **confirm before generation**.
- Treat explicit skill invocation, a file path, a matched keyword shortcut, `EXTEND.md` defaults, 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)From JimLiu/baoyu-skills, MIT.
More from JimLiu/baoyu-skills
- 0.827score
baoyu-url-to-markdown
JimLiu
Fetch any URL and convert to markdown using baoyu-fetch CLI (Chrome CDP with site-specific adapters).
SkillBFreshness: B★ 26.9KClaude Code +9 - 0.827score
baoyu-image-gen
JimLiu
AI image generation with OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs.
SkillBFreshness: B★ 26.9KClaude Code +9 - 0.770score
baoyu-xhs-images
JimLiu
Generates infographic image card series with 12 visual styles, 8 layouts, and 3 color palettes.
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-article-illustrator
JimLiu
Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style × Palette three-dimension approach.
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-comic
JimLiu
Knowledge comic creator supporting multiple art styles and tones.
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-compress-image
JimLiu
Compresses images to WebP (default) or PNG with automatic tool selection.
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-danger-gemini-web
JimLiu
Generates images and text via reverse-engineered Gemini Web API.
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-danger-x-to-markdown
JimLiu
Converts X (Twitter) tweets and articles to markdown with YAML front matter.
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-diagram
JimLiu
Create professional, dark-themed SVG diagrams of any type — architecture diagrams, flowcharts, sequence diagrams, structural diagrams, mind maps, timelines…
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-post-to-x
JimLiu
Posts content and articles to X (Twitter).
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-format-markdown
JimLiu
Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks.
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-post-to-wechat
JimLiu
Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP.
SkillCFreshness: C★ 26.9KClaude Code +9
Signals
- Stars
- 26,925
- Forks
- 2,950
- Open issues
- 13
- Last commit (this folder)
- Jun 13, 2026 (4 months ago)
- Last release
- Jun 18, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/JimLiu/baoyu-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.338score
baoyu-infographic
guanyang
Generate professional infographics with 21 layout types and 22 visual styles.
SkillCFreshness: C★ 980Claude Code +9 - 0.328score
baoyu-infographic
rockcookies
Generate professional infographics with 21 layout types and 22 visual styles.
SkillBFreshness: B★ 1Claude Code +9 - 0.299score
baoyu-infographic
SassumiX
Generate professional infographics with 21 layout types and 22 visual styles.
SkillCFreshness: C★ 2Claude Code +9
More from JimLiu
- 0.827score
baoyu-url-to-markdown
JimLiu
Fetch any URL and convert to markdown using baoyu-fetch CLI (Chrome CDP with site-specific adapters).
SkillBFreshness: B★ 26.9KClaude Code +9 - 0.827score
baoyu-image-gen
JimLiu
AI image generation with OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs.
SkillBFreshness: B★ 26.9KClaude Code +9 - 0.770score
baoyu-article-illustrator
JimLiu
Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style × Palette three-dimension approach.
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-cover-image
JimLiu
Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 11 color palettes and 7 rendering styles.
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-post-to-x
JimLiu
Posts content and articles to X (Twitter).
SkillCFreshness: C★ 26.9KClaude Code +9 - 0.770score
baoyu-comic
JimLiu
Knowledge comic creator supporting multiple art styles and tones.
SkillCFreshness: C★ 26.9KClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get baoyu-infographic running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
baoyu-infographic skill. Agent Mart. https://agentmart.dev/skills/jimliu-baoyu-infographic (last updated 2026-10-24)