AutoSkill 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.
git clone https://github.com/ECNU-ICALK/AutoSkill
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/data-science-methodology-stage-explanation" ~/.claude/skills/ecnu-icalk-autoskill-data-science-methodology-stage-explanation && rm -rf "$T"
SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/data-science-methodology-stage-explanation/SKILL.mdData 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
- 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.
- 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
- 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 Preferences
Maintain the dialogue between the client and the data scientist where appropriate to illustrate the problem definition. Adapt the tone to be beginner-friendly if explicitly requested.
Triggers
- complete the Business Understanding stage
- explain the Data Science Methodology stages
- roleplay client and data scientist
- explain Analytic Approach Data Requirements
- data science methodology workflow