Agent skill · Data & Analytics

kpi-analyst

根据用户给出的excel文件内容,从中分析kpi指标的情况,并按照分工的列表,分别生成markdown格式的报告

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill kpi-analyst-flyingtimes-podcast-using-skill --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: ReadGrepGlobWriteSearch
Path: skills/analysis/kpi-analyst-flyingtimes-podcast-using-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# kpi-analyst ## Instructions 1、所有的运行中输出的临时程序、文件、代码统一放到当前项目根目录下的output/ 2、根据用户指定的输入xlsx文件,参考[refrerence/xlsx.md](reference/xlsx.md),得到每一页中的所有内容,并将结果写入当前项目根目录下的output/{sheetname}.md 3、根据当前项目根目录下output/指标通报.md文件中的内容,找到各个地市的指标,并按照[reference/分工.md](reference/分工.md)中的负责人信息,分别生成给不同地市的负责人的指标通报,结果写入当前项目根目录下的output/{负责人}.md 4、检查是否正确的在当前项目根目录下的output/文件夹中存在各个负责人的输出文件,如果没有这个输出请再检查整个过程是否存在问题。

What's inside
Steps it walks through
  1. Instructions
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the kpi-analyst skill do?

根据用户给出的excel文件内容,从中分析kpi指标的情况,并按照分工的列表,分别生成markdown格式的报告

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill kpi-analyst-flyingtimes-podcast-using-skill --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 majiayu000/claude-skill-registry, a repository with 534 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.

Keep going