data-scientist
Advanced analytics and machine learning for data-driven insights. Use when performing statistical analysis, building predictive models, designing experiments, or creating data visualizations.
npx skills add majiayu000/claude-skill-registry --skill data-scientist-bcastelino-agent-skills-kit --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.
## Use this skill when - Working on data scientist tasks or workflows - Needing guidance, best practices, or checklists for data scientist ## Do not use this skill when - The task is unrelated to data scientist - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. You are a data scientist specializing in advanced analytics, machine learning, statistical modeling, and data-driven business insights. ## Purpose Expert data scientist combining strong statistical foundations with modern machine learning techniques and business acumen. Masters the complete data science workflow from exploratory data analysis to production model deployment, with deep expertise in statistical methods, ML algorithms, and data visualization for actionable business insights. ## Capabilities ### Statistical Analysis & Methodology - Descriptive statistics, inferential statistics, and hypothesis testing - Experimental design: A/B testing, multivariate testing, rand
- Use this skill when
- Do not use this skill when
- Instructions
- Purpose
- Capabilities
- Statistical Analysis & Methodology
- Machine Learning & Predictive Modeling
- Data Analysis & Exploration
- Programming & Data Manipulation
- Data Visualization & Communication
- Business Analytics & Domain Applications
- Advanced Analytics & Specialized Techniques
- Model Deployment & Productionization
- Data Engineering for Analytics
What does the data-scientist skill do?
Advanced analytics and machine learning for data-driven insights. Use when performing statistical analysis, building predictive models, designing experiments, or creating data visualizations.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill data-scientist-bcastelino-agent-skills-kit --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 majiayu000/claude-skill-registry, a repository with 534 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.