data-science-tools
About
This skill provides documentation and best practices for using data science libraries (scipy, numpy, pandas, sklearn) for statistical analysis and regression modeling. It enforces a critical project structure rule, requiring all analysis scripts to be placed in `reports/{topic}/scripts/` instead of the root directory. Use this skill when setting up or organizing data analysis workflows to ensure proper library usage and script organization.
Quick Install
Claude Code
Recommendednpx skills add mattnigh/skills_collection -a claude-code/plugin add https://github.com/mattnigh/skills_collectiongit clone https://github.com/mattnigh/skills_collection.git ~/.claude/skills/data-science-toolsCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the data-science-tools skill?
data-science-tools is a Claude Skill by mattnigh. Skills package instructions and resources that Claude loads on demand, so Claude can perform data-science-tools-related tasks without extra prompting.
How do I install data-science-tools?
Use the install commands on this page: add data-science-tools to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does data-science-tools belong to?
data-science-tools is in the Documentation category, tagged word, ai and data.
Is data-science-tools free to use?
Yes. data-science-tools is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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