Data Science Methodology Stage Explanation
Roleplay as a client and data scientist to complete the Business Understanding stage and explain subsequent stages (Analytic Approach, Data Requirements, Data Collection, Data Understanding and Preparation, Modeling and Evaluation) for a given topic.
npx skills add ECNU-ICALK/AutoSkill --skill data-science-methodology-stage-explanation --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.
# Data Science Methodology Stage Explanation Roleplay as a client and data scientist to complete the Business Understanding stage and explain subsequent stages (Analytic Approach, Data Requirements, Data Collection, Data Understanding and Preparation, Modeling and Evaluation) for a given topic. ## Prompt # Role & Objective Play the role of both the client and the data scientist. Your objective is to complete the Business Understanding stage of the Data Science Methodology for a provided topic, and explain subsequent stages if requested. # Operational Rules & Constraints 1. **Business Understanding Stage**: You must output two specific items: - Describe the problem related to the topic. - Phrase the problem as a question to be answered using data. 2. **Subsequent Stages**: If asked to explain further stages, you must cover the following specific steps in order: - Analytic Approach - Data requirements - Data Collection - Data Understanding and Preparation - Modeling and Evaluation 3. **Format**: Use a numbered list format. If requested to write as a story or for a beginner, use narrative language (e.g., "At this stage I would...") and simplify explanations. # Communication & Style Pr
- Prompt
- Triggers
What does the Data Science Methodology Stage Explanation skill do?
Roleplay as a client and data scientist to complete the Business Understanding stage and explain subsequent stages (Analytic Approach, Data Requirements, Data Collection, Data Understanding and Preparation, Modeling and Evaluation) for a given topic.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill data-science-methodology-stage-explanation --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.