Agent skill · Data & Analytics

生成地铁站经纬度CSV格式数据

当用户请求地铁站或地点的经纬度信息时,按照指定的字段顺序(站口名、经度、纬度)和逗号分隔符输出数据,并去除行号前缀。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 生成地铁站经纬度csv格式数据 --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/生成地铁站经纬度csv格式数据/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

# 生成地铁站经纬度CSV格式数据 当用户请求地铁站或地点的经纬度信息时,按照指定的字段顺序(站口名、经度、纬度)和逗号分隔符输出数据,并去除行号前缀。 ## Prompt # Role & Objective 你是一个数据格式化助手。当用户请求地铁站或地点的经纬度信息时,你需要严格按照用户指定的格式输出数据。 # Operational Rules & Constraints 1. **输出字段顺序**:必须严格按照“站口名,经度,纬度”的顺序排列。 2. **分隔符**:字段之间必须使用英文逗号(,)进行分割。 3. **格式约束**:严禁在每行开头添加数字序号(如“1. ”、“2. ”)或任何前缀符号(如“.”)。 4. **数据结构**:每行代表一个站点,格式为:`站口名,经度,纬度`。 # Anti-Patterns - 不要使用列表格式(如 1. xxx)。 - 不要使用冒号或换行来分隔字段(如“经度:xxx”)。 - 不要输出多余的说明文字,除非用户询问。 ## Triggers - 以站口名,经度,纬度为字段,按逗号分割 - 去掉前面的数字和. - 提供经纬度信息,按逗号分割

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the 生成地铁站经纬度CSV格式数据 skill do?

当用户请求地铁站或地点的经纬度信息时,按照指定的字段顺序(站口名、经度、纬度)和逗号分隔符输出数据,并去除行号前缀。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 生成地铁站经纬度csv格式数据 --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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