Claude Skills by brycewang-stanford

Sequential robustness checks in Stata with confounder blocks

STATA code for empirical accounting and financial economics research

Stata workflows for publication-ready sociology and social science research

Comprehensive Stata reference covering syntax, econometrics, and 20+ packages

Apply ARIMA, VAR, cointegration, and time series econometric methods

10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.

Bayesian inference methods including prior selection, MCMC, and model comparison

Detect anomalies and outliers in research data using statistical methods

Statistical hypothesis testing, power analysis, and significance reporting

Conduct systematic meta-analyses with effect size pooling and heterogeneity

Plan reproducible ML experiment runs with parameters and metrics tracking

Strategic statistical modeling, experimentation, and causal inference

Apply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods

Sample size calculation and statistical power analysis guide

Structural equation modeling with latent variables guide

Conduct Kaplan-Meier, Cox regression, and time-to-event analyses

10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.

Load, explore, clean, and analyze CSV data with statistical summaries

Systematic data cleaning workflows for research datasets

Upload messy CSVs with minimal prompting for deep automated analysis

Diagnose missing data patterns and apply appropriate imputation strategies

Data cleaning, transformation, and exploratory analysis with pandas

Questionnaire and survey design with Likert scales and coding

Clean, transform, and validate messy research data using Stata

End-to-end data analysis AI agent with Streamlit UI

Clean, recode, and prepare survey response data for analysis

Apply NLP and text mining techniques to research text data

27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.

Curated 2024-2026 AI agent research papers collection

Benchmark AI models across 60+ academic evaluation suites and metrics

Industrial anomaly detection methods and benchmark papers

Daily-updated collection of autonomous AI agent papers

Apply computer vision research methods, models, and evaluation tools

Annotated deep learning paper implementations with code walkthroughs

Build transformer fine-tuning plans for classification and generation

Comprehensive collection of domain adaptation research papers

Curated guide to generative AI covering LLMs and diffusion models

AI-powered scientific writing workflow from outline to polished draft

11 latex skills. Trigger: LaTeX typesetting, formatting papers, mathematical notation, Beamer. Design: template-based guides with package recommendations and compilation tips.

LaTeX-based academic writing assistant for thesis and paper templates

Manage references with BibLaTeX, natbib, and LaTeX bibliography styles

LaTeX drawing examples for Bayesian networks, tensors, and diagrams

TikZ and PGFPlots techniques for publication-quality scientific figures

Comprehensive guide to LaTeX editors, packages, and typesetting workflows

Collection of LaTeX templates for papers, presentations, and CVs

LaTeX math typesetting, equation formatting, and cross-referencing

Convert Markdown to publication-quality PDF with LaTeX math rendering

Guide to collaborative LaTeX editing with Overleaf

Render LaTeX math expressions to images in PNG, JPEG, and SVG

Create publication-quality scientific diagrams with TikZ in LaTeX