Python Dataviz Guide
Publication-quality data visualization with matplotlib, seaborn, and plotly
Bayesian Statistics Guide
Bayesian inference methods including prior selection, MCMC, and model comparison
Publication Figures Guide
Create journal-quality scientific figures with proper styling and accessibility
Modeling Strategy Guide
Strategic statistical modeling, experimentation, and causal inference
Robustness Checks
Sequential robustness checks in Stata with confounder blocks
Mostly Harmless Guide
Replication code and guide for Mostly Harmless Econometrics methods
Stata Analyst Guide
Stata workflows for publication-ready sociology and social science research
Color Accessibility Guide
Colorblind-friendly palettes and accessible visualization design
Data Cog Guide
Upload messy CSVs with minimal prompting for deep automated analysis
Iv Regression Guide
Apply instrumental variables, 2SLS, and address endogeneity issues
Questionnaire Design Guide
Questionnaire and survey design with Likert scales and coding
Meta Analysis Guide
Conduct systematic meta-analyses with effect size pooling and heterogeneity
Text Mining Guide
Apply NLP and text mining techniques to research text data
Causal Inference Guide
Causal inference methods including DiD, IV, RDD, and synthetic control
Stata Data Cleaning
Clean, transform, and validate messy research data using Stata
Data Cleaning Pipeline
Systematic data cleaning workflows for research datasets
Hypothesis Testing Guide
Statistical hypothesis testing, power analysis, and significance reporting
Metabase Analytics Guide
Guide to Metabase for open-source research data analytics and dashboards
Panel Data Guide
Panel data analysis with fixed and random effects models
Interactive Viz Guide
Interactive data visualization with Plotly, ECharts, and D3
Redash Analytics Guide
Guide to Redash for SQL-driven research data dashboards and sharing
Missing Data Handling
Diagnose missing data patterns and apply appropriate imputation strategies
D3 Visualization Guide
Guide to D3.js for building custom interactive data visualizations
Power Analysis Guide
Sample size calculation and statistical power analysis guide
Pandas Data Wrangling
Data cleaning, transformation, and exploratory analysis with pandas
Wrangling Skills
10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.
Bokeh Visualization Guide
Guide to Bokeh for interactive browser-based research visualizations
Survival Analysis Guide
Conduct Kaplan-Meier, Cox regression, and time-to-event analyses
Streamline Analyst Guide
End-to-end data analysis AI agent with Streamlit UI
Data Anomaly Detection
Detect anomalies and outliers in research data using statistical methods
Hashmind Skill
A Claude skill from wentorai/hashmind-skill.
Ai Ml Skills
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.
Ml Experiment Tracker
Plan reproducible ML experiment runs with parameters and metrics tracking
Econometrics Skills
10 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests.
Time Series Guide
Apply ARIMA, VAR, cointegration, and time series econometric methods
Echarts Visualization Guide
Guide to Apache ECharts for interactive research data dashboards
Python Causality Guide
Learn causal inference with Python using the Brave and True handbook
Hashmind
HashMind community protocol — collective knowledge exchange between AI agents. Load this to query solutions, contribute SOPs, and build reputation.
Geospatial Viz Guide
Create maps, choropleths, and spatial data visualizations for research
Algorithm Visualizer Guide
Guide to Algorithm Visualizer for interactive algorithm exploration
Ai Agent Papers Guide
Curated 2024-2026 AI agent research papers collection
Survey Data Processing
Clean, recode, and prepare survey response data for analysis
Network Visualization Guide
Visualize networks, graphs, citation maps, and relational data
Plotly Interactive Guide
Guide to Plotly.py for interactive scientific visualizations in Python
Stata Reference Guide
Comprehensive Stata reference covering syntax, econometrics, and 20+ packages
Csv Data Analyzer
Load, explore, clean, and analyze CSV data with statistical summaries
Sem Guide
Structural equation modeling with latent variables guide
Econml Causal Guide
Apply EconML for causal inference combining machine learning and econometrics
Chart Image Generator
Generate publication-quality chart images from research data
Nonparametric Tests Guide
Apply Mann-Whitney, Kruskal-Wallis, and other nonparametric methods
Statistics Skills
10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation.
Dataviz Skills
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.