lls-ai-data-analysis-starter SKILL.md skillA

lls-ai-data-analysis-starter from philrobinluo/ai-coevolution-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add philrobinluo/ai-coevolution-skills/lls-ai-data-analysis-starter@git:20260728.7cf7926

Pins git:20260728.7cf7926 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
philrobinluo/ai-coevolution-skills
Path
skills/lls-ai-data-analysis-starter/SKILL.md
Versions recorded
2
Latest version
git:20260728.7cf7926, committed Jul 28, 2026
First version recorded
Jul 28, 2026
Size
6,152 bytes
Repository stars
4
License
a license file GitHub does not identify

带普通用户把 Excel、CSV 或表格问题转成可复核的数据分析。用于第一次做数据清洗、描述统计、分组比较、趋势、异常检查、图表和结论汇报时;必须先明确业务问题、字段含义、时间范围与统计口径,再检查数据质量并生成可重复步骤,不把相关性写成因果,也不根据缺失数据编造结论。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!-- workbuddy-install: published; slug: lls-ai-data-analysis-starter -->
## 在 WorkBuddy 中找到并安装

**Skill slug:`lls-ai-data-analysis-starter`**

在 WorkBuddy 新会话粘贴:

```text
请按 https://skillhub.cn/install/skillhub.md 检查 SkillHub,搜索 `lls-ai-data-analysis-starter`;仅在 slug 完全一致时安装到 `~/.workbuddy/skills/`。安装后读取 `~/.workbuddy/skills/lls-ai-data-analysis-starter/SKILL.md`,核对 name、version 和实际路径,然后新开会话触发该 Skill。
```

也可以打开左侧「技能」→「添加技能 / 查找技能」,搜索 `lls-ai-data-analysis-starter` 后安装;界面文字可能随 WorkBuddy 版本变化。

# 罗老师 AI 数据分析入门助手

## 核心原则

分析不是“把表格丢给 AI 问有什么发现”。正确顺序是:

1. 明确要支持的业务判断;
2. 了解每一列代表什么;
3. 检查数据是否足以回答;
4. 按可重复步骤清洗和计算;
5. 用图表与数字表达;
6. 把事实、解释和建议分开;
7. 让另一人可以复核。

## 一、定义分析问题

将模糊需求改成可计算问题:

- 模糊:“看看销售数据。”
- 清楚:“比较今年第二季度各渠道的有效订单数、净收入和退款率,并找出与第一季度变化最大的渠道。”

任务书至少包含:

```text
使用者:
要做的决定:
分析对象:
时间范围:
核心指标:
比较维度:
排除范围:
输出形式:
```

## 二、建立数据字典

| 字段 | 含义 | 类型 | 单位 | 示例 | 缺失规则 | 是否敏感 |
| --- | --- | --- | --- | --- | --- | --- |

特别确认:

- 一行代表订单、客户、事件还是汇总;
- 日期是创建、支付、完成还是统计日期;
- 金额含税、未税、退款前还是退款后;
- 状态字段有哪些合法值;
- 唯一键是什么;
- 多张表如何关联。

## 三、先做数据体检

不修改原文件,先输出体检报告:

- 行数、列数和文件版本;
- 字段类型;
- 缺失值数量与比例;
- 唯一值和重复键;
- 数值范围与异常极值;
- 日期覆盖和断档;
- 分类值拼写差异;
- 表间关联成功率。

异常要区分“明显错误”“业务上可能合理”“需要负责人确认”。

## 四、制定清洗规则
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add philrobinluo/ai-coevolution-skills/lls-ai-data-analysis-starter@sha256:6d02cefe38d351a1

The line at the top of this page pins the label git:20260728.7cf7926, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ofog2tdcpu6kic7r.svg)](https://markdownregistry.com/a/art_ofog2tdcpu6kic7r)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Jul 28, 2026.

versioncommittedcommitsizeaudit
git:20260728.7cf7926 latest2026-07-28 7cf7926 6,152 BA view · diff
git:20260728.c69a3412026-07-28 c69a341 5,730 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6152 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

philrobinluo/ai-coevolution-skills · 4 stars · license a license file GitHub does not identify · pushed 2026-09-09 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ofog2tdcpu6kic7r
GET https://markdownregistry.com/api/v1/resolve?ref=philrobinluo/ai-coevolution-skills/lls-ai-data-analysis-starter
GET https://markdownregistry.com/api/v1/blob/6d02cefe38d351a19c2c2f380101aed3a1677651f31053fb4a847431cd7e0806

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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