Cross-reference all citations in source files against bibliography entries.

Submission pipeline — journal targeting, replication package, audit, and final gate. Replaces /submit, /target-journal, /audit-replication, /data-deposit.

>-

>-

>-

>-

>-

>-

>-

>-

>-

>-

>-

>-

Integrate AI tools into economic research, teaching, and policy analysis with attention to privacy and reproducibility.

'Unwraps hard-wrapped markdown files so that each sentence ends with a newline instead of mid-sentence line breaks. Joins continuation lines within a paragraph into single lines, then re-breaks at sentence boundaries (period, question mark, exclamation point). Preserves blank lines, headings, fenced code blocks, block quotes, and list items. Use when asked to unwrap text, fix line breaks, reflow sentences, or clean up hard-wrapped markdown or .qmd files.'

'Redistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata, PL94171, censable, easycensus, tinytiger, baf, rict, or redistio. Covers the complete pipeline: Census and spatial data loading, adjacency graph construction, SMC/MCMC simulation, constraints (population balance, county splits, VRA compliance), convergence diagnostics, plan metrics (compactness, partisan fairness, splits), visualization, summary tables, and interactive plan drawing. Invoke whenever the user mentions redistricting, gerrymandering, district plans, simulation ensembles, or any redistverse package by name.'

diverga

humanize

Computational methods for statistical inference and optimization

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

Cross-checks citation keys in index.qmd against references.bib, reporting missing, orphaned, and duplicate entries. Use when verifying citations.

Scans notebooks for data file references and verifies each file exists on disk. Use when checking for broken data paths.

Executes all registered notebooks, strips noisy cell metadata, and syncs Jupytext pairs. Use when asked to re-run notebooks or refresh outputs.

Checks whether registered notebooks have current, stale, or missing outputs. Use before rendering or to verify freshness.

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

Creates a Jupyter notebook with Jupytext pairing and registers it in _quarto.yml. Use when adding a new notebook.

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.

Cross-reference all citations in manuscript and book files against bibliography entries.

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

Guide to Apache ECharts for interactive research data dashboards

Create maps, choropleths, and spatial data visualizations for research

Interactive data visualization with Plotly, ECharts, and D3

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