Statistical Data Analysis
lingzhi227/agent-research-skills
Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
Agent skill
Python Econ Computing
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis
Install Python Econ Computing
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-econ-computing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills python-econ-computing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/20-wenddymacro-python-econ-skill .claude/skills/python-econ-computing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "python-econ-computing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/20-wenddymacro-python-econ-skill into .claude/skills/python-econ-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-econ-computing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/20-wenddymacro-python-econ-skillType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-econ-computing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills python-econ-computing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/20-wenddymacro-python-econ-skill .agents/skills/python-econ-computing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-econ-computing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/20-wenddymacro-python-econ-skill into .agents/skills/python-econ-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-econ-computing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-econ-computing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills python-econ-computing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/20-wenddymacro-python-econ-skill .cursor/skills/python-econ-computing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "python-econ-computing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/20-wenddymacro-python-econ-skill into .cursor/skills/python-econ-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-econ-computing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/20-wenddymacro-python-econ-skill--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-econ-computing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills python-econ-computing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/20-wenddymacro-python-econ-skill .gemini/skills/python-econ-computing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "python-econ-computing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/20-wenddymacro-python-econ-skill into .gemini/skills/python-econ-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-econ-computing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills python-econ-computingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-econ-computing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/20-wenddymacro-python-econ-skill .github/skills/python-econ-computing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "python-econ-computing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/20-wenddymacro-python-econ-skill into .github/skills/python-econ-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-econ-computing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-econ-computing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills python-econ-computing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/20-wenddymacro-python-econ-skill .opencode/skills/python-econ-computing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "python-econ-computing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/20-wenddymacro-python-econ-skill into .opencode/skills/python-econ-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-econ-computing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
python-econ-computing- GitHub stars
- 4.5k
- Token cost
- ~7.9k tokens
- SKILL.md length
- 1,186 words
- Files
- 2
- Skills in repo
- 369
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis
- Works in 11 steps: Data & Descriptive Statistics → Identification Strategy → Baseline Regression → …
- Writing Python code for DSGE models
- SKILL.md covers Overview, Library Quick Reference, DSGE Models and HANK Models, plus 5 more sections
- Calls pip
What it does
Python Econ Computing is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis
Its SKILL.md is about 7.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README-original.md`).
It sits in Data & Analytics, covering Econometrics and empirical research, Statistics and Data analysis. It works with Python and statsmodels. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- Writing Python code for DSGE models
- Numerical economic computation
- Causal inference
- Quantitative economic data analysis
Example prompts
- “/python-econ-computing”
Requirements
- Python 3
Workflow steps
11 steps, taken from the step headings in SKILL.md.
- Data & Descriptive Statistics
- Identification Strategy
- Baseline Regression
- Parallel Trends: Event Study Plots
- Parallel Trends Sensitivity: HonestDiD
- Rule Out Alternative Explanations
- Robustness Checks
- Heterogeneous Treatment Effects
- Mechanism Analysis
- Welfare & Policy Implications
- Full Workflow Summary
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Python Econ Computing loads about 7.9k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 1,186 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,186 words (~7,853 tokens).
“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.”
- name
- python-econ-computing
Files
SKILL.md and 1 other file in skills/20-wenddymacro-python-econ-skill of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- README-original.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Python Econ Computing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Python Econ Computing this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~7.9k | Automated safety check: Pass | Custom licence | |
| Statistical Data Analysislingzhi227/agent-research-skills | 383 | — | ~886 | Automated safety check: Pass | None | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| MatlabzLanqing/codex-claude-academic-skills | 4.6k | 9 repos | ~2.3k | Automated safety check: Notes | GPL-3.0 | |
| Meridian MMM Model Buildinggoogle/meridian | 1.6k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Code EngineeropenJiuwen-ai/sciencediscovery | 148 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Python Econ Computing
What does Python Econ Computing do?
A skill your agent uses when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis. Python Econ Computing is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
When should I use Python Econ Computing?
Python Econ Computing fits situations like: writing Python code for DSGE models; numerical economic computation; causal inference; quantitative economic data analysis.
How do I install Python Econ Computing in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-econ-computing -a claude-code`. Or copy the skill folder (skills/20-wenddymacro-python-econ-skill in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/python-econ-computing in your project. Claude Code loads it when a task matches its description.
How do I install Python Econ Computing in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-econ-computing -a codex`. Or copy the skill folder (skills/20-wenddymacro-python-econ-skill in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/python-econ-computing in your project. Codex loads it when a task matches its description.
Can I use Python Econ Computing in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill python-econ-computing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-econ-computing, .gemini/skills/python-econ-computing, .github/skills/python-econ-computing and .opencode/skills/python-econ-computing in your project.
What does Python Econ Computing need to run?
Going by SKILL.md and its folder, Python Econ Computing needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
Does Python Econ Computing access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is Python Econ Computing safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Python Econ Computing use?
Python Econ Computing has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Python Econ Computing use?
About 7.9k tokens (SKILL.md is roughly 31k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Python Econ Computing?
Skills that share tags, products or a category with Python Econ Computing: Statistical Data Analysis (lingzhi227/agent-research-skills, 383 stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.6k stars), Matlab (zLanqing/codex-claude-academic-skills, 4.6k stars) and Meridian MMM Model Building (google/meridian, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Python Econ Computing?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,517 GitHub stars. The repository holds 369 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.