Skill.md files: teach Claude once, not every chat.

• SKILL.md

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name: python-panel-data
description: Panel data analysis with Python using linearmodels and pandas.
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• SKILL.md

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name: r-econometrics
description: Run IV, DiD, and RDD analyses in R with proper diagnostics
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• SKILL.md

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name: stata-regression
description: Run regression analyses in Stata with publication-ready output tables.
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• SKILL.md

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name: beamer-presentation
description: Create academic presentations in Beamer with professional themes
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• SKILL.md

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name: econ-visualization
description: Create publication-quality charts and graphs for economics papers.
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• SKILL.md

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name: api-data-fetcher
description: Fetch economic data from FRED, World Bank, and other APIs
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• SKILL.md

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name: stata-data-cleaning
description: Clean and transform messy data in Stata with reproducible workflows
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• SKILL.md

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name: code-simplifier
description: Simplify and clean up code after changes are complete. Reduces complexity, improves readability, and ensures consistency.
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• SKILL.md

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name: commit-push-pr
description: Commit changes, push to remote, and create a pull request. Use for completing features or fixes ready for review.
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• SKILL.md

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name: sdd
description: Implements the Spec-Driven Development lifecycle (Intent, Requirements, Design, Tasks, Build) for structured feature development. Use when the user wants to scaffold a new feature spec, generate EARS requirements, create a technical design, break work into tasks, or check spec status. Trigger on keywords: sdd, spec-driven, ears requirements, feature spec.
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• SKILL.md

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name: techdebt
description: Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells. Run at the end of sessions to clean up.
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• SKILL.md

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name: research-ideation
description: Generate research questions from economic phenomena
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• SKILL.md

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name: lit-review-assistant
description: Search, summarize, and synthesize economics literature
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• SKILL.md

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name: latex-econ-model
description: Write and typeset economic models in LaTeX with proper notation
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• SKILL.md

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name: academic-paper-writer
description: Draft economics papers with proper structure and academic style
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• SKILL.md

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name: latex-tables
description: Generate publication-ready regression tables in LaTeX.
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• SKILL.md

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name: causal-inference-mixtape
description: 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 test", "implement Bacon decomposition", or needs code templates for causal inference methods in Python, R, or Stata. Based on Scott Cunningham's Causal Inference: The Mixtape.
---

• SKILL.md

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name: bayesian-estimation
description: 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. Triggers on "Bayesian estimation", "Bayesian inference", "MCMC", "Markov chain Monte Carlo", "Stan", "PyMC", "NumPyro", "prior", "posterior", "credible interval", "Bayesian structural", "Bayesian BLP", "Bayesian DSGE", "hierarchical model", "random effects Bayesian", "posterior predictive check", "Bayes factor", "prior predictive check", "NUTS", "HMC", "Hamiltonian Monte Carlo", "R-hat", "rhat", "effective sample size", "ESS", "Bayesian calibration", "posterior distribution", "prior elicitation", "weakly informative prior", "brms", "rstanarm", "cmdstanpy", "pymc", "arviz".
---

• SKILL.md

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name: causal-inference
description: 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 estimators. Triggers on "causal effect", "identification strategy", "instrumental variable", "2SLS", "GMM", "difference-in-differences", "DiD", "staggered treatment", "regression discontinuity", "RDD", "synthetic control", "matching", "propensity score", "IPW", "AIPW", "doubly robust", "LATE", "ATT", "ATE", "parallel trends", "exclusion restriction", "first stage", "weak instruments", or "endogeneity".
---

• SKILL.md

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name: causal-ml
description: 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, debiased ML, causal forests, generalized random forest, GRF, honest causal trees, AIPW with machine learning, doubly robust with machine learning, DR-Learner, T-Learner, S-Learner, X-Learner, meta-learners, heterogeneous treatment effects, conditional average treatment effect, CATE, HTE, high-dimensional controls, LASSO controls, post-LASSO, post-double selection, Belloni-Chernozhukov-Hansen, Riesz representer, Chernozhukov, sample splitting, econml, DoubleML package, or any combination of machine learning and causal inference.
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• SKILL.md

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name: empirical-playbook
description: 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 comparison", "empirical strategy", "research design", "applied micro", "identification strategy", "power analysis", "design-based", "model-based", "minimum detectable effect", "specification".
---

• SKILL.md

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name: estimate
description: Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook
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• SKILL.md

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name: game-theory
description: 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 markets. Triggers on "Nash equilibrium", "subgame perfect", "best response", "strategic interaction", "entry game", "conduct testing", "auction", "mechanism design", "matching market", "bargaining", "BNE", "Bayesian Nash", "static game", "dynamic game", "repeated game", "multiple equilibria", "equilibrium selection", "discrete game", "oligopoly", "game-theoretic", "player", "payoff", "strategy", "dominant strategy", "Bresnahan-Reiss", "Ciliberto-Tamer", "partial identification", "set identification", or markup test.
---

• SKILL.md

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name: identification-proofs
description: 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 equivalence fails. Triggers on "identification proof", "identification argument", "identify the parameter", "show identification", "identification condition", "exclusion restriction proof", "rank condition", "order condition", "identification strategy formal", "nonparametric identification", "parametric identification", "local identification", "global identification", "observational equivalence", "identification at infinity", "completeness condition", "regularity conditions", "Rothenberg", "proof of identification", "identification result", "identified parameter", "point identified", "set identified", "partial identification".
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