EconAgentSkills

In the author's own words, from each skill's SKILL.md.

• python-panel-data

  Generates rigorous panel and causal-inference code in Python using `pyfixest` (modern fixest port), `linearmodels.PanelOLS`, `statsmodels`, and pandas, with proper fixed effects, clustering, weak-IV diagnostics, event studies, and DIME-aligned reproducibility. Honest about Python's smaller modern-DiD ecosystem and routes the user to R when needed. Use when the user asks for PanelOLS, pyfixest, fi…

  _skills/analysis/python-panel-data/SKILL.md on GitHub (opens in a new tab)

• r-econometrics

  Generates rigorous, modern, reproducible R code for causal inference and panel econometrics with `fixest`, heterogeneity-robust DiD estimators (Callaway-Sant'Anna, Sun-Abraham, BJS, de Chaisemartin-D'Haultfoeuille), weak-IV-robust inference, optimal-bandwidth RDD via `rdrobust`, and wild cluster bootstrap. Use when the user asks for IV, DiD, event studies, RDD, TWFE, staggered treatment, clustere…

  _skills/analysis/r-econometrics/SKILL.md on GitHub (opens in a new tab)

• stata-regression

  Generates rigorous, reproducible Stata regression workflows that follow World Bank DIME Analytics conventions (`ietoolkit`, `iefolder`, master do-files, `ieboilstart`, dynamic absolute paths, `iebaltab`, `ieddtab`, `esttab`). Defaults to modern estimators (`reghdfe`, `ivreg2`/`ivreghdfe`, `csdid`, `eventstudyinteract`, `did_imputation`, `boottest`, `rdrobust`) with weak-IV-robust inference and wi…

  _skills/analysis/stata-regression/SKILL.md on GitHub (opens in a new tab)

• beamer-presentation

  Builds academic economics presentations in LaTeX Beamer that share the same `notation.tex` macros and `tabs/`/`figs/` outputs as the underlying paper, so a single rebuild keeps slides and paper in sync. Defaults to clean themes (`metropolis` / `default` with custom colors), 16:9 aspect ratio, time-budget-aware structure (15/20/45/60/90 min), incremental reveals, and DIME-aligned reproducibility (…

  _skills/communication/beamer-presentation/SKILL.md on GitHub (opens in a new tab)

• econ-visualization

  Generates publication-quality economics figures produced by code (R `ggplot2`, Python `matplotlib`/`seaborn`, Stata `twoway`/`coefplot`) and exported in vector format directly to the paper's `figs/` folder. Defaults to DIME's "full replicability" tier and the [Reviewing Graphs checklist](https://dimewiki.worldbank.org/Checklist:_Reviewing_Graphs) — clear titles for standalone use, intuitive color…

  _skills/communication/econ-visualization/SKILL.md on GitHub (opens in a new tab)

• api-data-fetcher

  Generates rigorous, reproducible Python data-acquisition pipelines for economic APIs (FRED, World Bank, BLS, OECD SDMX, IMF, Eurostat, Yahoo Finance). Applies DIME Analytics conceptual conventions to Python: DataWork-style folders with immutable Raw/, master orchestration script with dynamic absolute paths via `pathlib`, secrets-as-env-vars (PII discipline applied to API keys), source codebooks r…

  _skills/data/api-data-fetcher/SKILL.md on GitHub (opens in a new tab)

• stata-data-cleaning

  Generates rigorous, reproducible Stata data-cleaning workflows that follow World Bank DIME Analytics conventions (`iefieldkit`, `ietoolkit`, `iefolder` DataWork structure, `ieboilstart`, `iecodebook`, `ieduplicates`, `iecompdup`, extended missing values, master datasets, encryption for PII, dynamic absolute paths). Defaults to codebook-driven cleaning, `assert`/`isid` validation, labeled categori…

  _skills/data/stata-data-cleaning/SKILL.md on GitHub (opens in a new tab)

• working-with-data

  Foundational data-discipline skill for econometrics work in any language. Enforces the discipline that every other data, analysis, and writing skill depends on: define the unit of analysis before anything else; treat IDs as a contract; merge with explicit cardinality and validation; never silently change the unit of observation; protect PII; document every drop; keep raw immutable; build a master…

  _skills/data/working-with-data/SKILL.md on GitHub (opens in a new tab)

• academic-paper-writer

  Drafts and revises empirical and theoretical economics papers in journal-style structure (introduction, literature, data, identification, results, robustness, discussion, conclusion), with explicit identification arguments, careful causal language, and reviewer-response discipline. Cross-links to `latex-econ-model` for theory typesetting, `latex-tables` for `esttab`/`modelsummary`/`pyfixest.etabl…

  _skills/writing/academic-paper-writer/SKILL.md on GitHub (opens in a new tab)

• latex-tables

  Generates publication-ready LaTeX tables produced by code (Stata `esttab`/`outreg2`, R `modelsummary`/`fixest::etable`, Python `stargazer`/`pyfixest.etable`) and writes them directly to the paper's `tabs/` folder. Defaults to DIME's "full replicability" standard (no copy-paste from any console), `booktabs` styling, three-line tables, threeparttable notes, sensible significance stars, and `\Cref{}…

  _skills/writing/latex-tables/SKILL.md on GitHub (opens in a new tab)

No skill matches that filter.

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