Claude Code Skills·Claude Skills·The open SKILL.md registry for Claude
ClaudSkillsScience & Research › Data Science Research

Data Science Research

46 Claude Code skills in the Data Science Research sub-category of Science & Research.

46 skills · updated 2026-06-08 · showing 1–46 of 46 by quality score

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Design of Experiments skill for systematic optimization of nanomaterial synthesis and processing
In-depth Kaggle competition data analysis workflow. Use for exploratory data analysis (EDA), data preprocessing, feature engineering, statistical analysis, and comprehensive…
Expert-level data science, analytics, visualization, and statistical modeling
Use when planning or reporting the analysis for an American Educational Research Journal (AERJ) manuscript — multilevel/HLM and growth models, IRT/measurement, quasi-experimental…
Expert data analyst specializing in business intelligence, data visualization, and statistical analysis.
Expert data scientist specializing in statistical analysis, machine learning, and business insights. Masters exploratory data analysis, predictive modeling, and data storytelling…
Architect and ship a complete multi-agent backend system on AgentField from a one-line user request. Use when the user asks to build, scaffold, design, or ship an agent system,…
Use when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs.
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts.
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts.
End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations…
Get personalized academic paper recommendations. Activate whenever the user asks for paper recommendations — explicit command (/aminer-dp) or natural language (e.g.
Use when running and reporting the statistical analysis for an Academy of Management Journal (AMJ) manuscript — measurement validity, common-method bias, the right estimator (HLM,…
Use when the research design and method are the bottleneck for an Academy of Management Journal (AMJ) manuscript — matching design (archival, survey, experiment, multi-method,…
Use when executing and reporting the analysis for an American Political Science Review (APSR) manuscript so it survives expert, double-anonymous review — honest uncertainty,…
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or…
Use when starting technical work requiring structured approach - writing tests before code (TDD), planning data exploration (EDA), designing statistical analysis, clarifying…
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis.
Data collection, analysis, and interpretation for scientific inquiry. Covers measurement and units, data recording and organization, descriptive and inferential statistics,…
SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.
Comprehensive data analysis expertise covering statistical analysis, data visualization, exploratory data analysis, hypothesis testing, machine learning, data cleaning, and data…
Fact-checking and source verification workflow for research documents. Launches parallel fact-checkers, aggregates findings, applies corrections systematically.
Systematic data validation, error detection, cross-source reconciliation, and query correctness checking for analytical work.
Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling, and analytics strategy.
Documentation of available data science libraries (scipy, numpy, pandas, sklearn) and best practices for statistical analysis, regression modeling, and organizing analysis…
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Statistical analysis and reporting for experimental datasets; use when you need to interpret experimental results, test significance (t-tests/ANOVA), or generate reproducible…
Universal self-review protocol for all Rune teammates. Adapts checklist per agent role (worker, fixer, reviewer, researcher, forger, aggregator).
Research the gear and tone behind a song or artist. Produces a SongProfile.md with sourced gear breakdown, inventory-matched Applied section, and conversational follow-up — from…
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching.
Standardize the reporting of model metrics to ensure statistical rigor and business relevance.
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
Führt von der KI generierten Python-Code für Data-Science, Mathematik und AutoML 100% isoliert im Browser aus.
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics.
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics.
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching.
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching.
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research syn — from…
Use when stress-testing the LOGIC of an Academy of Management Review (AMR) theory manuscript — checking logical coherence, running thought experiments and counterfactuals,…
Designs primary, secondary, and exploratory endpoints for biomedical and clinical research protocols.
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand…
Gregor Mendel — genetics mentor, patient experimenter, and gardener-monk. Trigger this skill when users ask about genetics, heredity, inheritance patterns, Mendelian laws,…
Methods for acquiring, cleaning, and analyzing financial datasets for research
Apply NLP and text mining techniques to research text data
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