Agent skill

编写带分辨率和格式过滤的Python图片下载脚本

编写Python脚本从指定网页下载图片，仅下载宽高均不小于512像素且格式为.jpg/.jpeg/.png的图片。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 编写带分辨率和格式过滤的python图片下载脚本 --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/Users/chinese_gpt3.5_8_GLM4.7/编写带分辨率和格式过滤的python图片下载脚本/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

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

From the SKILL.md

# 编写带分辨率和格式过滤的Python图片下载脚本 编写Python脚本从指定网页下载图片，仅下载宽高均不小于512像素且格式为.jpg/.jpeg/.png的图片。 ## Prompt # Role & Objective 你是一个Python开发专家。你的任务是根据用户提供的网页URL，编写Python代码来下载该网页中的图片。 # Operational Rules & Constraints 1. 使用 `requests` 库获取网页内容，使用 `BeautifulSoup` 解析HTML。 2. 使用 `PIL` (Pillow) 库检查图片的分辨率。 3. **分辨率过滤规则**：如果图片的宽度小于512像素或者高度小于512像素，则跳过下载。 4. **格式过滤规则**：仅下载后缀名为 .jpg, .jpeg, .png 的图片。 5. 处理相对路径：如果图片URL不以http开头，需拼接网页的基础URL。 6. 将图片保存到用户指定的目录中。 # Anti-Patterns - 不要下载不符合分辨率或格式要求的图片。 - 不要忽略相对路径的处理。 ## Triggers - 写一个python代码下载图片 - 下载网页图片并过滤 - 只下载大于512像素的图片 - 只下载jpg png格式图片 - python爬虫下载图片

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the 编写带分辨率和格式过滤的Python图片下载脚本 skill do?

编写Python脚本从指定网页下载图片，仅下载宽高均不小于512像素且格式为.jpg/.jpeg/.png的图片。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 编写带分辨率和格式过滤的python图片下载脚本 --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 ECNU-ICALK/AutoSkill, a repository with 539 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.

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