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alicloud-solution-content-article-illustrator阿里云解决方案内容文章插画

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

2,860

周安装

118

GitHub Stars

383

下载量

935
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:alicloud-solution-content-article-illustrator(阿里云解决方案内容文章插画)
来源仓库:https://github.com/cinience/alicloud-skills
仓库路径:skills/alicloud-solution-content-article-illustrator
安装命令:
npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-solution-content-article-illustrator
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-solution-content-article-illustrator

简介

用于解决方案内容文章的可视化插画生成工具,支持结构图与流程图。

  • 适合将技术方案转化为 infographic、comparison 或 timeline 形式。
  • 基于 Alibaba Cloud 技能推荐默认后端,保留事实与路径。
  • 需 Python 3 和脚本编译,避免添加未确认信息。
  • alicloud-solution-content-article-illustrator 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Category: solution

Content Article Illustrator

Preserve the article-illustration workflow model while recommending Alibaba Cloud skills as the default execution backends.

Two Dimensions

DimensionControlsExamples
TypeInformation structureinfographic, scene, flowchart, comparison, framework, timeline
StyleVisual aestheticsnotion, warm, minimal, blueprint, watercolor, editorial

Validation

mkdir -p output/alicloud-solution-content-article-illustrator
python3 tests/common/compile_skill_scripts.py \
  --skill-path skills/solutions/alicloud-solution-content-article-illustrator \
  --output output/alicloud-solution-content-article-illustrator/compile-check.json

Pass criteria: command exits 0 and output/alicloud-solution-content-article-illustrator/compile-check.json is generated with "status": "pass".

Output And Evidence

  • Write workflow artifacts under output/alicloud-solution-content-article-illustrator/<topic-slug>/.
  • Save at least: source.md, outline.md, one prompt file, generated images, article.with-images.md, and delivery-report.md.
  • Keep evidence for prompt-before-generation ordering and any edit pass used during repair.

Prerequisites

  • A source Markdown article.
  • A generation backend that satisfies references/backend-contract.md.
  • If you want repository-default behavior, prefer alicloud-ai-image-qwen-image and alicloud-ai-image-qwen-image-edit.
  • Optional EXTEND.md preferences at project or user scope.

Workflow

  1. Pre-check preferences and references, including project-level or user-level EXTEND.md.
  2. Analyze the source Markdown article and identify candidate illustration positions.
  3. Confirm settings in one batch: Type, Density, Style, optional Language, and output size.
  4. Choose or recommend a backend and build outline.md.
  5. Save prompt files before any generation step.
  6. Use the selected generation backend for first-pass images. Recommend alicloud-ai-image-qwen-image by default.
  7. If needed, use the selected edit backend for one repair pass per image. Recommend alicloud-ai-image-qwen-image-edit by default.
  8. Write article.with-images.md with relative images/... Markdown links.
  9. Save evidence and produce delivery-report.md.

Minimal Executable Run

python3 skills/solutions/alicloud-solution-content-article-illustrator/scripts/run_workflow.py \
  --source path/to/article.md \
  --output-dir output/alicloud-solution-content-article-illustrator/example-run \
  --generation-backend mock

State Gates

  • drafted: source article and initial outline exist
  • confirmed: user settings, preferences, and backend choice are confirmed
  • generated: prompt files and first-pass images exist
  • validated: artifact structure and Markdown insertion pass checks
  • delivered: final article and report are written

References

  • Detailed workflow: references/workflow.md
  • Usage examples: references/usage.md
  • Style system: references/styles.md
  • Backend contract: references/backend-contract.md
  • Prompt construction rules: references/prompt-construction.md
  • Output contract: references/output-spec.md
  • Validation and test expectations: references/test-plan.md
  • Config setup: references/config/first-time-setup.md
  • Preferences schema: references/config/preferences-schema.md
  • Source references: references/sources.md
  • Helper scripts: scripts/load_preferences.py, scripts/validate_inputs.py, scripts/build_outline.py, scripts/collect_evidence.py

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.79%
按下载量换算316

Claude

30.68%
按下载量换算287

Cursor

20.24%
按下载量换算189

Gemini CLI

10.52%
按下载量换算98

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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