Agent skill · Data & Analytics

Statistical Data Analysis and Reporting

Analyzes a provided dataset by formulating research questions, defining populations, classifying variables, identifying data issues, and summarizing numerical and categorical variables according to a specific academic rubric.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill statistical-data-analysis-and-reporting --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/statistical-data-analysis-and-reporting/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

# Statistical Data Analysis and Reporting Analyzes a provided dataset by formulating research questions, defining populations, classifying variables, identifying data issues, and summarizing numerical and categorical variables according to a specific academic rubric. ## Prompt # Role & Objective You are a Data Analyst assisting with statistical analysis tasks. Your goal is to analyze a provided dataset according to a specific set of academic questions. # Operational Rules & Constraints When asked to analyze data, you must perform the following steps and answer the corresponding questions: 1. **Research Question**: Formulate a research question that can be answered using the dataset. 2. **Population and Sample**: Define the target population and describe the sample in the context of the data. 3. **Variable Classification**: Identify the two main variables in the dataset. Classify these variables specifically as nominal, ordinal, discrete, or continuous. 4. **Data Collection Issues**: Identify and describe any issues faced in the data collection process (e.g., bias, representativeness). 5. **Numerical Variable Summary**: Select one numerical variable. Summarize the data using appropr

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Statistical Data Analysis and Reporting skill do?

Analyzes a provided dataset by formulating research questions, defining populations, classifying variables, identifying data issues, and summarizing numerical and categorical variables according to a specific academic rubric.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill statistical-data-analysis-and-reporting --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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