PyFixest Reference is a Data skill for Claude Code, published by brycewang-stanford in Auto-Empirical-Research-Skills.
PyFixest Reference provides a machine-readable API reference for the PyFixest Python package, covering feols, fepois, feglm, quantreg, clustered/robust standard errors, R-style formulas, and post-estimation. Use when writing or debugging fixed-effects regressions in Python.
PyFixest Reference is cataloged under Data on DirSkills. PyFixest Reference comes from a repository tagged academic-research, agent-skills, ai-agent, awesome-list and communication.
Documentation
Dense, machine-readable reference for LLMs. No prose padding. Version: matches latest PyFixest release.
import pyfixest as pf
This is the opening of the README. Read the full README on GitHub.
PyFixest Reference is one of 25 skills that DirSkills catalogs from brycewang-stanford/Auto-Empirical-Research-Skills, the repository it ships in. Its siblings there include Academic Paper Composer, Academic Proofreader and Auto-Empirical Research. Each one is a separate skill with its own page in this directory, installs the same way PyFixest Reference does, and is maintained by brycewang-stanford in that same repository. The rest of the collection is listed on the brycewang-stanford/Auto-Empirical-Research-Skills page.
PyFixest Reference ranks #204 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of PyFixest Reference against them. Open each page to compare what they document and how they install.
PyFixest Reference is one of 25 skills cataloged on DirSkills from brycewang-stanford/Auto-Empirical-Research-Skills.
PyFixest Reference is one of 668 Data skills cataloged on DirSkills, ranked #204 by stars among them.