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diverga

humanize

Design and implementation of comprehensive simulation studies

Core mathematical concepts and theoretical frameworks for statistics

Structured methodology for constructing and verifying mathematical proofs in statistical research

Six-phase protocol for adapting methods across research domains

Writes academic prose interpreting regression output. Use when describing estimation results in manuscript-ready language.

Extract and apply knowledge from Kaggle competition winning solutions. This skill provides access to a continuously updated knowledge base of techniques, code patterns, and best practices from top Kag

A Claude skill for economists that ensures rigorous data decisions and directs users only to authoritative sources. Interfaces with Playwright MCP for web data retrieval.

Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, \u8865\u5168\u8bc1\u660e, \u5199\u8bc1\u660e, \u8bc1\u660e\u67d0\u4e2a\u547d\u9898, or determine whether a claimed proof can actually be completed under the stated assumptions.

Guide to Algorithm Visualizer for interactive algorithm exploration

Guide to D3.js for building custom interactive data visualizations

Create maps, choropleths, and spatial data visualizations for research

Guide to Metabase for open-source research data analytics and dashboards

Visualize networks, graphs, citation maps, and relational data

Guide to Plotly.py for interactive scientific visualizations in Python

Publication-quality data visualization with matplotlib, seaborn, and plotly

Guide to Redash for SQL-driven research data dashboards and sharing

Causal inference methods including DiD, IV, RDD, and synthetic control

Learn causal inference with Python using the Brave and True handbook

Stata workflows for publication-ready sociology and social science research

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

Detect anomalies and outliers in research data using statistical methods

Conduct systematic meta-analyses with effect size pooling and heterogeneity

Strategic statistical modeling, experimentation, and causal inference

Sample size calculation and statistical power analysis guide

Structural equation modeling with latent variables guide

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

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

Apply computer vision research methods, models, and evaluation tools

Curated guide to generative AI covering LLMs and diffusion models

Build and deploy reproducible production ML pipelines for research

All-in-one Python library for NLP, agents, and knowledge graphs

Guide to Transformer architectures for NLP and computer vision

Query AlphaFold protein structure predictions by UniProt accession

Workflows for RNA-seq, GWAS, and variant calling in genomic research

Access FDA drug data and WHO global health statistics for research

Medical image analysis with deep learning for research applications

Query computational catalysis reaction data via Catalysis Hub GraphQL