brycewang-stanford/Auto-Empirical-Research-Skills

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude CodeCodex

Draft economics papers with proper structure and academic style.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude CodeCodex

Generate publication-ready regression tables in LaTeX.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude CodeCodex

This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression discontinuity design", "build a synthetic control model", "implement propensity score matching", "write parallel trends…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers Bayesian estimation and inference in quantitative social science. Use when the user is specifying priors, running MCMC, diagnosing chain convergence, or reporting posterior summaries — including hierarchical models, Bayesian structural models, and small-sample settings where priors regularize.…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers causal inference methods in observational and quasi-experimental settings. Use when the user is implementing, choosing between, or debugging causal identification strategies — including instrumental variables, difference-in-differences, regression discontinuity, synthetic control, or matching…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers causal machine learning methods in applied economics and quantitative social science. Use when implementing or choosing between modern ML-based causal estimators — including double machine learning, DML, partially linear models, interactive regression models, cross-fitting, Neyman orthogonality…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers applied microeconomic empirical methods and research design. Use when the user is selecting an identification strategy, comparing estimators, running diagnostics, designing a research study, or evaluating an empirical strategy. Triggers on "which method", "what estimator", "how to choose", "method…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers game-theoretic methods in structural econometrics and industrial organization. Use when the user is working with strategic interactions, equilibrium analysis, or game-theoretic structural models — including entry games, conduct testing, auction models with strategic bidding, bargaining, or matching…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers formal identification arguments and proofs in structural and reduced-form econometrics. Use when the user needs to prove or formalize that a parameter is identified — including writing identification propositions, stating regularity conditions, deriving rank conditions, or showing observational…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Full autonomous research workflow — brainstorm, plan, implement, review, and document.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers publication-quality tables and figures for academic research papers. Use when formatting regression results, summary statistics, Monte Carlo output, or research visualizations for LaTeX inclusion. Triggers on "table", "figure", "tabulate", "stargazer", "publication-ready", "LaTeX table", "event study…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Build and verify replication packages — routes to reproducibility-auditor agent.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers reproducible research pipelines and replication packages. Use when the user is setting up a research project directory structure, configuring workflow managers (Make, Snakemake, DVC), managing computational environments, preparing replication packages for journal submission, or debugging…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Full autonomous research workflow using swarm mode for parallel execution.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers structural econometric models. Use when the user is building, estimating, or debugging structural models — including BLP demand estimation, dynamic discrete choice, auction models, or any workflow involving moment conditions, nested fixed-point algorithms, or MPEC formulations. Triggers on…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

This skill covers academic journal submission, referee responses, and revision management. Use when the user is preparing a manuscript for submission, formatting for a specific journal, responding to referees, or managing revisions. Triggers on "submit", "referee", "revision", "R&R", "response letter", "journal"…

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Explore methodological approaches through structured analysis before planning implementation.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Document a recently solved research problem to compound methodological knowledge.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Divergent research ideation — generate many candidate directions, then adversarially filter to the strongest.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Transform research descriptions into well-structured implementation plans following project conventions.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Run multi-agent econometric review on estimation code, identification arguments, and research artifacts.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Execute research implementation plans efficiently while maintaining estimation quality and finishing features.

brycewang-stanford/Auto-Empirical-Research-Skills

Skill Claude Code

Stage, commit, create PR, and merge to main. Use for the standard commit-PR-merge cycle.