barrios-skills

In the author's own words, from each skill's SKILL.md — showing the first 30 of 71 files.

• dask

  Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

  skills/data-and-visualization/dask/SKILL.md on GitHub (opens in a new tab)

• econ-visualization

  Create publication-quality charts and graphs for economics papers.

  skills/data-and-visualization/econ-visualization/SKILL.md on GitHub (opens in a new tab)

• geopandas

  Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and inte…

  skills/data-and-visualization/geopandas/SKILL.md on GitHub (opens in a new tab)

• matplotlib

  Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.

  skills/data-and-visualization/matplotlib/SKILL.md on GitHub (opens in a new tab)

• plotly

  Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

  skills/data-and-visualization/plotly/SKILL.md on GitHub (opens in a new tab)

• polars

  Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

  skills/data-and-visualization/polars/SKILL.md on GitHub (opens in a new tab)

• pymc-bayesian-modeling

  Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

  skills/data-and-visualization/pymc-bayesian-modeling/SKILL.md on GitHub (opens in a new tab)

• scikit-learn

  Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

  skills/data-and-visualization/scikit-learn/SKILL.md on GitHub (opens in a new tab)

• seaborn

  Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

  skills/data-and-visualization/seaborn/SKILL.md on GitHub (opens in a new tab)

• statistical-analysis

  Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.

  skills/data-and-visualization/statistical-analysis/SKILL.md on GitHub (opens in a new tab)

• statsmodels

  Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.

  skills/data-and-visualization/statsmodels/SKILL.md on GitHub (opens in a new tab)

• pyfixest

  Fast high-dimensional fixed-effects regression in Python with pyfixest (fixest-like syntax). Use for OLS/IV/Poisson with many FEs, cluster-robust SEs, modern DiD (did2s, Sun-Abraham), and publication tables — the Python counterpart to Stata reghdfe/fixest for accounting and finance panels.

  skills/econometrics/pyfixest/SKILL.md on GitHub (opens in a new tab)

• python-panel-data

  Panel data analysis with Python using linearmodels and pandas.

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

• r-econometrics

  Run IV, DiD, and RDD analyses in R with proper diagnostics

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

• stata-data-cleaning

  Clean and transform messy data in Stata with reproducible workflows

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

• stata-regression

  Run regression analyses in Stata with publication-ready output tables.

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

• wrds

  This skill should be used when the user asks to "query WRDS", "access Compustat", "get CRSP data", "pull Form 4 insider data", "query ISS compensation", "download SEC EDGAR filings", "get ExecuComp data", "access Capital IQ", "query TRACE bond data", "clean TRACE", "merge FISD", "query TAQ", "pull intraday trades or quotes", "build NBBO", "compute effective spread", or needs WRDS PostgreSQL query…

  skills/econometrics/wrds/SKILL.md on GitHub (opens in a new tab)

• api-data-fetcher

  Fetch economic data from FRED, World Bank, and other APIs

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

• citation-management

  Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

  skills/research-tools/citation-management/SKILL.md on GitHub (opens in a new tab)

• datacommons-client

  Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity re…

  skills/research-tools/datacommons-client/SKILL.md on GitHub (opens in a new tab)

• exploratory-data-analysis

  Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Cover…

  skills/research-tools/exploratory-data-analysis/SKILL.md on GitHub (opens in a new tab)

• financial-text-nlp

  Measure sentiment and stance in financial and economic text — 10-K/10-Q MD&A, earnings calls, Fed/ECB communications — using FinBERT, FinVADER, and domain models. Use for accounting and finance NLP features, not general chat sentiment.

  skills/research-tools/financial-text-nlp/SKILL.md on GitHub (opens in a new tab)

• lit-review-assistant

  Search, summarize, and synthesize economics literature

  skills/research-tools/lit-review-assistant/SKILL.md on GitHub (opens in a new tab)

• literature-review

  Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs wi…

  skills/research-tools/literature-review/SKILL.md on GitHub (opens in a new tab)

• openalex-api

  Access and analyze OpenAlex scholarly metadata through the REST API, including works, authors, institutions, sources, concepts, topics, funders, and publishers. Use when asked to retrieve publication or citation metadata, run OpenAlex searches with filters, map author-institution relationships, or build reproducible bibliometric datasets from OpenAlex.

  skills/research-tools/openalex-api/SKILL.md on GitHub (opens in a new tab)

• paper-2-acfin-web

  Convert accounting and finance papers into dissemination assets — interactive project websites, seminar videos, and conference posters. Use when turning a JAR/JAE/TAR, JF/JFE/RFS, or empirical arch manuscript (LaTeX or PDF) into a Paper2Web homepage, Paper2Video talk, or Paper2Poster for AAA, FARS, MFA, WFA, or journal promotion.

  skills/research-tools/paper-2-acfin-web/SKILL.md on GitHub (opens in a new tab)

• research-ideation

  Generate research questions from economic phenomena

  skills/research-tools/research-ideation/SKILL.md on GitHub (opens in a new tab)

• research-lookup

  Look up current research information using Perplexity Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.

  skills/research-tools/research-lookup/SKILL.md on GitHub (opens in a new tab)

• sec-edgar

  Pull SEC EDGAR filings, XBRL financials, and Form 3/4/5 insider trades for accounting and finance research. Prefer the SEC EDGAR MCP for live lookups; use WRDS for panel Compustat/CRSP merges. Enforces CIK discipline, User-Agent rules, and sample inspection before claiming results.

  skills/research-tools/sec-edgar/SKILL.md on GitHub (opens in a new tab)

• web-scrape

  Web scraping skill for economists and applied researchers. Use this skill whenever the user wants to extract data from websites, scrape tables, download PDFs, access paywalled academic journals (JSTOR, ScienceDirect, Elsevier, NBER, SSRN, AER, etc.), bulk-download papers, scrape government data, hit REST APIs, or build reusable scraping scripts. Triggers on: "scrape", "download PDF", "get data fr…

  skills/research-tools/web-scrape/SKILL.md on GitHub (opens in a new tab)

No skill matches that filter.

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