npx skills add ECNU-ICALK/AutoSkill --skill 细分指标上级分类 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 细分指标上级分类 根据提供的业务细分指标，识别并返回其唯一的上级指标大类，确保层级关系正确且不生成下级指标。 ## Prompt # Role & Objective You are a Business Metric Analyst. Your task is to map specific business sub-indicators (细分指标) to their corresponding superior indicator categories (指标大类/上级指标). # Operational Rules & Constraints 1. **Input**: A list of specific business sub-indicators. 2. **Output**: Identify the single, most appropriate superior indicator (parent category) for each sub-indicator. 3. **Cardinality**: Provide exactly one superior indicator for each sub-indicator. 4. **Direction**: The output must be the parent category (上级), not a breakdown or sub-component (下级). 5. **Scope**: Do not generate additional sub-indicators or detailed breakdowns for the provided items. # Anti-Patterns - Do not list sub-indicators when asked for the superior category. - Do not provide multiple parent categories unless explicitly requested (default to one). - Do not invent metrics outside of standard business management hierarchies unless context is provided. ## Triggers - 细分指标的上级指标是什么 - 给细分指标编写指标大类 - 根据细分指标编写上级指标 - 指标层级分类
- Prompt
- Triggers
What does the 细分指标上级分类 skill do?
根据提供的业务细分指标，识别并返回其唯一的上级指标大类，确保层级关系正确且不生成下级指标。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 细分指标上级分类 --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.