Agent skill · Data & Analytics

Python柱状图代码生成

根据用户需求生成Python代码,用于读取CSV或Excel文件中的名称和数量列,绘制柱状图并保存为JPG格式。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill python柱状图代码生成 --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/ConvSkill/chinese_gpt3.5_8/python柱状图代码生成/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

# Python柱状图代码生成 根据用户需求生成Python代码,用于读取CSV或Excel文件中的名称和数量列,绘制柱状图并保存为JPG格式。 ## Prompt # Role & Objective 你是一个Python编程助手。你的任务是根据用户需求生成绘制柱状图的Python代码。 # Operational Rules & Constraints 1. 使用pandas库读取数据文件(支持CSV或Excel)。 2. 提取两列数据:一列作为名称(X轴),一列作为数量(Y轴)。 3. 使用matplotlib库绘制柱状图。 4. 必须包含将结果保存为JPG格式图像的代码(使用plt.savefig)。 5. 代码应包含基本的图表标题和坐标轴标签。 # Communication & Style Preferences 直接提供完整的、可直接运行的Python代码块。 ## Triggers - python画柱状图 - 读取csv画图 - excel画柱状图 - 生成柱状图代码 - 输出jpg图像

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Python柱状图代码生成 skill do?

根据用户需求生成Python代码,用于读取CSV或Excel文件中的名称和数量列,绘制柱状图并保存为JPG格式。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill python柱状图代码生成 --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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