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. — from belokonm/claude-supercode-skills
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights. — from majiayu000/claude-skill-registry
Use only when the user explicitly requests strict code-cell-only output for a Jupyter or undergraduate data-science task, or when an ITX2007 assignment requires that format.
Use for explicit undergraduate data-science teaching, assignment guidance, concept clarification, method selection, or output interpretation.
Use when designing or auditing the experimental program of an EMNLP paper — baseline fairness and tuning budgets, dataset and language coverage matched to claims, contamination…
Use when reducing and reporting data for an Earth and Planetary Science Letters (EPSL) manuscript — full analytical-uncertainty budgets for isotope and geochronology data,…
Use when executing and reporting the analysis for an Environmental Science & Technology (ES&T) manuscript so it survives expert review — analytical QA/QC, honest uncertainty,…
Statistical analysis and reporting for experimental datasets; use when you need to interpret experimental results, test significance (t-tests/ANOVA), or generate reproducible…
Use when theoretical calculations need experimental validation, protocols must be designed with clear hypotheses and success criteria, or resource requirements (equipment — from…
Use when executing and reporting the statistical analysis for a Field Crops Research (FCR) manuscript — mixed models for multi-environment and blocked/split-plot designs,…
Use when executing and reporting the analysis for a Global Change Biology (GCB) manuscript — mixed/hierarchical models, time-series and spatial analysis, meta-analysis, and model…
Use when a Games and Economic Behavior (GEB) manuscript involves experimental data or numerical illustration — analyzing strategic-game experiments and building verified worked…
Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices.
Use when the research design is the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — matching multilevel structure, multi-source/multi-wave timing, construct…
Use when running and reporting the computational experiments — and assembling the reproducible code/data deposit — for an INFORMS Journal on Computing (IJOC) manuscript.
Universal self-review protocol for all Rune teammates. Adapts checklist per agent role (worker, fixer, reviewer, researcher, forger, aggregator).
Use when when you have tandem mass spectra data and need to predict a binary molecular property (e.g., presence of a functional group like a sulfo group) while maintaining full…
Pragmatic qualitative analysis for interview data in sociology research. Guides you through systematic coding, interpretation, and synthesis with quality checkpoints.
Use when drafting an IPSN-lineage rebuttal, covering the double-blind response to sensor-systems reviewers on ground truth, baseline fairness, deployment realism, energy…
Use when executing and reporting the analysis for an Information Systems Research (ISR) manuscript — identification and validity for empirical work, proof discipline and…
Use when choosing and stress-testing the research design for an Information Systems Research (ISR) manuscript — matching the genre (behavioral empirical, analytical-economic…
Use when designing the exhibits for an Information Systems Research (ISR) manuscript — correlation/measurement tables, estimation results, model/equilibrium figures,…
Use when building or refining the mechanism for an Information Systems Research (ISR) manuscript — deriving behavioral hypotheses for empirical work or analytical…
Use when turning empirical results into an explicit contribution to accounting knowledge for a Journal of Accounting Research (JAR) manuscript — stating what we now know about how…
Use when running and reporting the empirical-archival analysis for a Journal of Accounting Research (JAR) manuscript — standard-error clustering, endogeneity execution, construct…
Use when the research design and identification strategy are the bottleneck for a Journal of Accounting Research (JAR) manuscript — choosing the setting, source of identi — from…
Use when building the economic mechanism and deriving signed, falsifiable predictions for a Journal of Accounting Research (JAR) manuscript — grounding hypotheses in information…
Use when building the Monte Carlo evidence and the substantive empirical application for a Journal of Business & Economic Statistics (JBES) methods paper.
Use when running and reporting the analysis for a Journal of Business Venturing (JBV) manuscript — choosing estimators that fit entrepreneurial data (survival/event-history,…
Use when analyzing experimental data for a Journal of Consumer Psychology (JCP) manuscript — ANOVA/regression on the effect, measured and experimental mediation, moderation and…
Use when designing or stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations, controls and confounds, manipulation checks, power, the…
Use when writing or sharpening the conceptual contribution of a Journal of Consumer Research (JCR) manuscript and drafting the mandatory 300-word Consumer Relevance and…
Use when running and reporting the evidence for a Journal of Consumer Research (JCR) manuscript — process evidence (mediation/moderation) for behavioral experiments, or…
Use when choosing or stress-testing the research design for a Journal of Consumer Research (JCR) manuscript — multi-study behavioral experiments, interpretive Consumer Culture…
Use when building the conceptual core of a Journal of Consumer Research (JCR) manuscript — the psychological process and hypotheses for an experiments paper, or the interpretive…
Use when research design and measurement are the bottleneck for a Journal of Management (JOM) manuscript — matching design to the theoretical claim, construct validity,…
Use when choosing and defending the research design for a Journal of Management Information Systems (JMIS) manuscript — IT-value/platform econometrics, a behavioral survey or…
Use when running and reporting the statistical analysis for a Journal of Operations Management (JOM) empirical manuscript — measurement validity for survey constructs,…
Use when executing and reporting the analysis for a Journal of Public Administration Research and Theory (JPART) manuscript so it survives expert, double-blind review and the…
Use when handling the empirical analysis for a Journal of Public Economics (JPubE) manuscript — administrative tax/transfer/health/register data, elasticity and bunching…
Use when planning or auditing the analysis of a Language (LSA) manuscript so the evidence credibly supports the theoretical claim.
Guide a private, adaptive life-design conversation and create an integrated Life Designer Pro Blueprint covering work, relationships, health, learning, creativity, community,…
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…
Operate an explicitly activated LoopX Material Lifecycle for a connected project. Use for material-store inventory, lossless migration, candidate/archive transitions,…
Use when designing or auditing the numerical-experiments part of a Mathematical Finance (Wiley) manuscript — at this theory-first venue that means illustrative computation that…
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.
Use when after consolidating aligned LC-MS peaks into a quantitative feature table (with m/z, retention time, and intensity values across all samples), and before proceeding to…
Use when you have a Sciex Multiquant (≥v3.0.3) txt export containing QCpool sample measurements at multiple timepoints within a sequence, and you need to flag compounds with high…
Production-grade data science specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise.
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.
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
Use when articulating the contribution of an Operations Research (OR) manuscript — especially the mandatory cover-letter contribution statement (since 1 June 2023, fewer than 500…
Use when running and reporting the computational study for an Operations Research (OR) manuscript — benchmark instances, baselines, reproducible experiments, statistical care for…
Use when designing the proof technique, algorithm, or simulation protocol for an Operations Research (OR) manuscript — choosing the right machinery (duality, dynamic programming,…
Use when building the exhibits for an Operations Research (OR) manuscript — theorem/assumption layout, comparison tables against prior work, computational-results tables, and…
Use as the router for an Operations Research (OR) manuscript — given where you are in the OR/MS modeling-to-submission lifecycle, it names the next ors-* skill to invoke.