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Agent Skill · AI 工具

baoyu-infographic(宝玉信息图)

baoyu-infographic 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

baoyu-infographic 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描有未通过项,按安装量在AI 工具类的 2,536 个 Skill 里排第 2,517。

总安装 186周安装 8GitHub Stars 3下载 65核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:baoyu-infographic(宝玉信息图)
来源仓库:https://github.com/questnova502/claude-skills-sync
仓库路径:skills/baoyu-infographic
安装命令:
npx skills add https://github.com/questnova502/claude-skills-sync --skill baoyu-infographic
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/questnova502/claude-skills-sync --skill baoyu-infographic

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

用于处理 GitHub 仓库、Issue、Pull Request 等协作信息。适合围绕代码变更、仓库状态进行整理和分析。可结合来源仓库和 README 继续核验具体功能和使用方式。安装前建议确认权限范围、维护状态及是否触发联网或命令执行。

支持 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装。

来源仓库内路径:skills/baoyu-infographic

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/questnova502/claude-skills-sync --skill baoyu-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

baoyu-infographic 怎么安装?

在终端执行 npx skills add https://github.com/questnova502/claude-skills-sync --skill baoyu-infographi…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

baoyu-infographic 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

baoyu-infographic 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

baoyu-infographic 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

baoyu-infographic 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

baoyu-infographic 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
baoyu-infographic

宝玉信息图 · 本页

1863只读MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Infographic Generator

Generate professional infographics with two dimensions: layout (information structure) and style (visual aesthetics).

Usage

# Auto-recommend combinations based on content
/baoyu-infographic path/to/content.md

# Specify layout
/baoyu-infographic path/to/content.md --layout hierarchical-layers

# Specify style (default: craft-handmade)
/baoyu-infographic path/to/content.md --style technical-schematic

# Specify both
/baoyu-infographic path/to/content.md --layout funnel --style corporate-memphis

# With aspect ratio
/baoyu-infographic path/to/content.md --aspect portrait

# Direct content input
/baoyu-infographic
[paste content]

# Direct input with options
/baoyu-infographic --layout linear-progression --style aged-academia
[paste content]

Options

OptionDescription
--layout <name>Information layout (20 options, see Layout Gallery)
--style <name>Visual style (17 options, default: craft-handmade)
--aspect <ratio>landscape (16:9), portrait (9:16), square (1:1)
--lang <code>Output language (en, zh, ja, etc.)

Two Dimensions

DimensionControlsCount
LayoutInformation structure: hierarchy, flow, relationships20 types
StyleVisual aesthetics: colors, textures, artistic treatment17 types

Layout × Style can be freely combined. Example: --layout hierarchical-layers --style craft-handmade creates a hierarchy with playful hand-drawn aesthetics.

Layout Gallery

LayoutBest For
linear-progressionTimelines, step-by-step processes, tutorials
binary-comparisonA vs B, before-after, pros-cons
comparison-matrixMulti-factor comparisons
hierarchical-layersPyramids, concentric circles, priority levels
tree-branchingCategories, taxonomies
hub-spokeCentral concept with related items
structural-breakdownExploded views, cross-sections, part labeling
bento-gridMultiple topics, overview (default)
icebergSurface vs hidden aspects
bridgeProblem-solution, gap-crossing
funnelConversion processes, filtering
isometric-mapSpatial relationships, locations
dashboardMetrics, KPIs, data display
periodic-tableCategorized collections
comic-stripNarratives, sequences
story-mountainPlot structure, tension arcs
jigsawInterconnected parts
venn-diagramOverlapping concepts
winding-roadmapJourney, milestones
circular-flowCycles, recurring processes

Detailed layout definitions: references/layouts/<layout>.md

Style Gallery

StyleDescription
craft-handmade (Default)Hand-drawn illustration, paper craft aesthetic
claymation3D clay figures, playful stop-motion
kawaiiJapanese cute, big eyes, pastel colors
storybook-watercolorSoft painted illustrations, whimsical
chalkboardColorful chalk on black board
cyberpunk-neonNeon glow on dark, futuristic
bold-graphicComic style, halftone dots, high contrast
aged-academiaVintage science, sepia sketches
corporate-memphisFlat vector people, vibrant fills
technical-schematicBlueprint, isometric 3D, engineering
origamiFolded paper forms, geometric
pixel-artRetro 8-bit, nostalgic gaming
ui-wireframeGrayscale boxes, interface mockup
subway-mapTransit diagram, colored lines
ikea-manualMinimal line art, assembly style
knollingOrganized flat-lay, top-down
lego-brickToy brick construction, playful

Detailed style definitions: references/styles/<style>.md

Recommended Combinations

Based on content analysis, the system recommends 3-5 layout×style combinations:

Content TypeRecommended Combination
Timeline/Historylinear-progression + craft-handmade
Step-by-step Processlinear-progression + ikea-manual
Comparison (A vs B)binary-comparison + corporate-memphis
Hierarchy/Levelshierarchical-layers + craft-handmade
Relationships/Overlapvenn-diagram + craft-handmade
Conversion/Salesfunnel + corporate-memphis
Recurring Processcircular-flow + craft-handmade
Technical/Systemstructural-breakdown + technical-schematic
Data/Metricsdashboard + corporate-memphis
Educational/Overviewbento-grid + chalkboard
Journey/Roadmapwinding-roadmap + storybook-watercolor
Categories/Typesperiodic-table + bold-graphic

Default combination: bento-grid + craft-handmade

File Structure

Each session creates an independent directory:

infographic/{topic-slug}/
├── source-{slug}.{ext}             # Source files
├── analysis.md                     # Deep content analysis
├── structured-content.md           # Instructional content structure
├── prompts/
│   └── infographic.md              # Generated prompt
└── infographic.png                 # Output image

Slug Generation:

  1. Extract main topic from content (2-4 words, kebab-case)
  2. Example: "Machine Learning Basics" → ml-basics

Conflict Resolution: If infographic/{topic-slug}/ already exists:

  • Append timestamp: {topic-slug}-YYYYMMDD-HHMMSS
  • Example: ml-basics exists → ml-basics-20260120-103052

Instructional Design Approach

This skill applies a world-class instructional designer mindset to infographic creation:

  1. Deep Understanding: Read and comprehend the source material thoroughly
  2. Learning Objectives: Identify what the viewer should understand after seeing the infographic
  3. Information Architecture: Structure content for maximum clarity and retention
  4. Visual Storytelling: Use visuals to communicate complex ideas accessibly
  5. Verbatim Data: Preserve all source data exactly as written—no summarization or rephrasing of facts

Workflow

Step 1: Analyze Content → analysis.md

Read source content and perform deep instructional analysis.

Actions:

  1. Save source content (if not already a file):

- If user provides a file path: use as-is - If user pastes content: save to source.md in target directory

  1. Deep reading:

- Read the entire document thoroughly - Develop deep understanding before proceeding - Identify the core message and purpose

  1. Content analysis: Aspect Questions to Answer Main Topic What is this content fundamentally about? Data Type Timeline? Hierarchy? Comparison? Process? Relationships? Complexity Simple (3-5 points) or complex (6-10+ points)? Tone Technical, educational, playful, serious, persuasive? Audience Who is the intended viewer? What do they already know?
  2. Language detection:

- Detect source language from content - Detect user language from conversation - Note if source_language ≠ user_language (will ask in Step 4)

  1. Extract design instructions from user input:

- Style preferences (colors, mood, aesthetic) - Layout preferences (structure, organization) - Any specific visual requirements - Separate these from content—they go in the Design Instructions section

  1. Save to analysis.md

Analysis Output Format:

---
title: "[Main topic title]"
topic: "[Category: educational/technical/business/etc.]"
data_type: "[timeline/hierarchy/comparison/process/etc.]"
complexity: "[simple/moderate/complex]"
source_language: "[detected language]"
user_language: "[user's language]"
---

## Main Topic
[1-2 sentence summary of what this content is about]

## Learning Objectives
After viewing this infographic, the viewer should understand:
1. [Primary objective]
2. [Secondary objective]
3. [Tertiary objective if applicable]

## Target Audience
- **Knowledge Level**: [Beginner/Intermediate/Expert]
- **Context**: [Why they're viewing this]
- **Expectations**: [What they hope to learn]

## Content Type Analysis
- **Data Structure**: [How information relates to itself]
- **Key Relationships**: [What connects to what]
- **Visual Opportunities**: [What can be shown rather than told]

## Design Instructions (from user input)
[Any style, color, layout, or visual preferences extracted from user's steering prompt]

Step 2: Generate Structured Content → structured-content.md

Transform analyzed content into a structured format for the infographic designer.

Instructional Design Process:

  1. Create high-level outline:

- Title that captures the essence - List all main learning objectives - Identify the logical flow

  1. Flesh out each section:

- For each learning objective, create a section - Mix conceptual explanations with practical elements - Preserve all source data verbatim—do not summarize or rephrase

  1. Structure for visual communication:

- Identify what becomes a headline - Identify what becomes supporting text - Identify what becomes a visual element - Identify data points, statistics, or quotes

Critical Rules:

RuleRequirement
Output formatMarkdown only
ToneExpert trainer: knowledgeable, clear, encouraging
No new informationDo not add anything not in the source
Verbatim dataAll statistics, quotes, and facts copied exactly

Structured Content Format:

# [Infographic Title]

## Overview
[Brief description of what this infographic conveys]

## Learning Objectives
The viewer will understand:
1. [Objective 1]
2. [Objective 2]
3. [Objective 3]

---

## Section 1: [Section Title]

**Key Concept**: [One-sentence summary]

**Content**:
- [Point 1 - verbatim from source]
- [Point 2 - verbatim from source]
- [Point 3 - verbatim from source]

**Visual Element**: [What to show visually]

**Text Labels**:
- Headline: "[Exact text for headline]"
- Subhead: "[Exact text for subhead]"
- Labels: "[Label 1]", "[Label 2]", ...

---

## Section 2: [Section Title]
[Continue pattern...]

---

## Data Points (Verbatim)
[All statistics, numbers, quotes exactly as they appear in source]
- "[Exact quote or statistic 1]"
- "[Exact quote or statistic 2]"

---

## Design Instructions
[Extracted from user's steering prompt]
- Style: [preferences]
- Colors: [preferences]
- Layout: [preferences]
- Other: [any other visual requirements]

Step 3: Generate Layout×Style Recommendations

Based on analysis and structured content, recommend 3-5 combinations.

Selection Criteria:

FactorHow to Match
Data structureTimeline→linear-progression, Hierarchy→hierarchical-layers, etc.
Content toneTechnical→technical-schematic, Playful→kawaii, etc.
AudienceBusiness→corporate-memphis, Educational→chalkboard, etc.
ComplexitySimple→sparse layouts, Complex→dense layouts
User preferencesHonor any design instructions from Step 1

Format each recommendation:

[Layout] + [Style]: [Brief rationale based on content analysis]

Step 4: Confirm Options

IMPORTANT: Present ALL options in a single confirmation step using AskUserQuestion.

Questions to ask:

QuestionWhen to Ask
CombinationAlways (required)
Aspect ratioAlways
LanguageOnly if source_language ≠ user_language

AskUserQuestion format:

Question 1 (Combination) - always:

  • Option A (Recommended): [layout] + [style] - [brief rationale]
  • Option B: [layout] + [style] - [brief rationale]
  • Option C: [layout] + [style] - [brief rationale]
  • Custom: Specify your own layout and/or style

Question 2 (Aspect) - always:

  • landscape (16:9, Recommended) - standard presentation
  • portrait (9:16) - mobile/social media
  • square (1:1) - social media posts

Question 3 (Language) - only if source ≠ user language:

  • [Source language] (matches content)
  • [User language] (your preference)

Language handling:

  • If source language = user language: Just inform user
  • If different: Ask which language to use for all text

Step 5: Generate Prompt → prompts/infographic.md

Create the image generation prompt.

Process:

  1. Read layout definition from references/layouts/<layout>.md
  2. Read style definition from references/styles/<style>.md
  3. Read base prompt template from references/base-prompt.md
  4. Combine with structured content from Step 2
  5. All text in prompt uses confirmed language

Prompt Structure:

Topic: [main topic from analysis]
Layout: [selected layout]
Style: [selected style]
Aspect: [confirmed ratio]
Language: [confirmed language]

## Layout Guidelines
[From layout definition file]

## Style Guidelines
[From style definition file]

## Content to Visualize

### Learning Objectives
[From structured-content.md]

### Sections
[From structured-content.md - each section with its visual elements]

### Data Points (Verbatim)
[All exact statistics, quotes, and facts from source]

## Text Labels (in [language])
[All text that appears in the infographic, organized by section]

## Design Instructions
[Any specific visual requirements from user's steering prompt]

Step 6: Generate Image

Image Generation Skill Selection:

  1. Check available image generation skills
  2. If multiple skills available, ask user to choose

Generation: Call selected image generation skill with:

  • Prompt file path: prompts/infographic.md
  • Output path: infographic.png
  • Aspect ratio parameter if supported

Error handling:

  • On failure, auto-retry once before reporting error
  • If retry fails, inform user with error details

Step 7: Output Summary

Infographic Generated!

Topic: [topic from analysis]
Layout: [layout name]
Style: [style name]
Aspect: [aspect ratio]
Language: [confirmed language]
Location: [output directory path]

Learning Objectives Covered:
1. [Objective 1] ✓
2. [Objective 2] ✓
3. [Objective 3] ✓

Files:
✓ analysis.md
✓ structured-content.md
✓ prompts/infographic.md
✓ infographic.png

Preview the image to verify it matches your expectations.

Quality Checklist

Before generating the final image, verify:

  • All source data preserved verbatim (no summarization)
  • Learning objectives clearly represented
  • Layout matches information structure
  • Style matches content tone and audience
  • All text labels in correct language
  • Design instructions from user honored
  • Visual hierarchy supports comprehension

References

Detailed templates and guidelines in references/ directory:

  • analysis-framework.md - Instructional design analysis methodology
  • structured-content-template.md - Structured content format and examples
  • base-prompt.md - Base prompt template for image generation
  • layouts/<layout>.md - Detailed layout definitions (20 files)
  • styles/<style>.md - Detailed style definitions (17 files)

Notes

  • Layout determines information architecture; style determines visual treatment
  • Default style craft-handmade works well with most layouts
  • Technical content benefits from technical-schematic or ui-wireframe
  • Educational content works well with chalkboard, storybook-watercolor
  • Business content pairs with corporate-memphis, dashboard
  • All text in the infographic uses the confirmed language
  • Never add information not present in the source document
  • Statistics and quotes must be copied exactly—no paraphrasing

Extension Support

Custom styles and configurations via EXTEND.md.

Check paths (priority order):

  1. .baoyu-skills/baoyu-infographic/EXTEND.md (project)
  2. ~/.baoyu-skills/baoyu-infographic/EXTEND.md (user)

If found, load before Step 1. Extension content overrides defaults.

平台分布

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按下载量换算21

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24.2%
按下载量换算16

windsurf

17.47%
按下载量换算11

trae

13.97%
按下载量换算9

OpenCode

8.13%
按下载量换算5

kimi-cli

3.31%
按下载量换算2

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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