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skillboardUse when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis
Python Economic Numerical Computing Author：Wenli Xu Email： wlxu@cityu.edu.mo 2026 03 11 Overview Best practices for macroeconomic modeling (DSGE/HANK), causal inference, and data analysis in Python. Core principle: vectorize first, accelerate loops with Numba, keep code structure aligned with economic theory . Library Quick Reference | Use Case | Preferred Libraries | | | | | Numerical core | , | | Loop acceleration | ( , ) | | Economics toolkit | | | HANK / sequence space | (SSJ) | |…
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/20-wenddymacro-python-econ-skill · pinned to the source commit
# Run from your project root
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/20-wenddymacro-python-econ-skill" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/20-wenddymacro-python-econ-skill" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/20-wenddymacro-python-econ-skill
Scanner static-checks@0.1.0 · commit 692e9fa3fea4. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
Instructs shell/process/package operations that run commands on the host.
Evidence: pip install· fingerprint 7944ec554efca445