Stata C Plugins
dylantmoore/stata-skill
Develop high-performance C/C++ plugins for Stata using the stplugin.h SDK.
Agent skill
Causal Inference Mixtape
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression…
Install Causal Inference Mixtape
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill causal-inference-mixtape -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills causal-inference-mixtape --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/10-Jill0099-causal-inference-mixtape .claude/skills/causal-inference-mixtape && 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 "causal-inference-mixtape" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/10-Jill0099-causal-inference-mixtape into .claude/skills/causal-inference-mixtape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "causal-inference-mixtape", 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/10-Jill0099-causal-inference-mixtapeType 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 causal-inference-mixtape -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills causal-inference-mixtape --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/10-Jill0099-causal-inference-mixtape .agents/skills/causal-inference-mixtape && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "causal-inference-mixtape" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/10-Jill0099-causal-inference-mixtape into .agents/skills/causal-inference-mixtape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "causal-inference-mixtape", 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 causal-inference-mixtape -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills causal-inference-mixtape --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/10-Jill0099-causal-inference-mixtape .cursor/skills/causal-inference-mixtape && 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 "causal-inference-mixtape" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/10-Jill0099-causal-inference-mixtape into .cursor/skills/causal-inference-mixtape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "causal-inference-mixtape", 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/10-Jill0099-causal-inference-mixtape--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 causal-inference-mixtape -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills causal-inference-mixtape --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/10-Jill0099-causal-inference-mixtape .gemini/skills/causal-inference-mixtape && 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 "causal-inference-mixtape" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/10-Jill0099-causal-inference-mixtape into .gemini/skills/causal-inference-mixtape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "causal-inference-mixtape", 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 causal-inference-mixtapeInstalls 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 causal-inference-mixtape -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/10-Jill0099-causal-inference-mixtape .github/skills/causal-inference-mixtape && 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 "causal-inference-mixtape" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/10-Jill0099-causal-inference-mixtape into .github/skills/causal-inference-mixtape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "causal-inference-mixtape", 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 causal-inference-mixtape -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 causal-inference-mixtape --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/10-Jill0099-causal-inference-mixtape .opencode/skills/causal-inference-mixtape && 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 "causal-inference-mixtape" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/10-Jill0099-causal-inference-mixtape into .opencode/skills/causal-inference-mixtape/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "causal-inference-mixtape", 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
causal-inference-mixtape- GitHub stars
- 4.6k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 492 words
- Files
- 6 (incl. references)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression…
- Works in 4 steps: Identify the method from the table above → Load the appropriate template from… → Adapt variable names, fixed effects, and… → …
- Asks to implement a DiD regression
- SKILL.md covers Methods Covered, Core Workflow, Key Python Patterns and Robustness Check Patterns, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Causal Inference Mixtape is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression discontinuity design", "build a synthetic control model", "implement propensity score matching", "write parallel trends test", "implement Bacon decomposition", or needs code templates for causal inference methods in Python, R, or Stata. Based on Scott Cunningham's Causal Inference: The Mixtape.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `README-original.md`, `prompts/01-implement-method.md` and `prompts/02-robustness-checks.md`).
It sits in Research & Science, covering Econometrics and empirical research. 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
- Asks to implement a DiD regression
- Write a causal inference pipeline
- Set up an event study
- Implement instrumental variables
Example prompts
- “implement a DiD regression”
- “write a causal inference pipeline”
- “set up an event study”
- “/causal-inference-mixtape”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Identify the method from the table above
- Load the appropriate template from references/method-patterns.md
- Adapt variable names, fixed effects, and clustering to the user's data
- Add robustness checks (parallel trends for DiD, McCrary for RDD, first-stage F for IV)
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
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Causal Inference Mixtape loads about 1.5k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 492 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 492 words (~1,489 tokens).
“Practitioner-oriented causal inference skill built from Scott Cunningham's Causal Inference: The Mixtape repository. Covers 10 identification strategies with ready-to-run code templates in Python, R, and Stata.”
- name
- causal-inference-mixtape
- version
- 1.0.0
Files
SKILL.md and 5 other files (references) in skills/10-Jill0099-causal-inference-mixtape of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- README-original.md
- prompts/01-implement-method.md
- prompts/02-robustness-checks.md
- references/method-patterns.md
- references/r-stata-comparison.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Causal Inference Mixtape 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 |
|---|---|---|---|---|---|---|
| Causal Inference Mixtape this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Stata C Pluginsdylantmoore/stata-skill | 291 | 1 repos | ~5.8k | Automated safety check: Pass | Custom licence | |
| Capture Environmentpedrohcgs/claude-code-my-workflow | 1.7k | — | ~2.8k | Automated safety check: Notes | MIT | |
| Fin Data Acquisitioncsmar432/finai-research | 109 | — | ~2k | Automated safety check: Pass | MIT | |
| Python Panel Datameleantonio/awesome-econ-ai-stuff | 646 | 2 repos | ~804 | Automated safety check: Pass | Custom licence | |
| Empirical Research MethodsCitrus-bit/Anaxa | 120 | — | ~1.9k | Automated safety check: Pass | CC-BY-SA-4.0 |
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Related
Works with
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Questions about Causal Inference Mixtape
What does Causal Inference Mixtape do?
This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression…. Causal Inference Mixtape is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression discontinuity design", "build a synthetic control model", "implement propensity score matching", "write parallel trends test", "implement Bacon decomposition", or needs code templates for causal inference methods in Python, R, or Stata.
When should I use Causal Inference Mixtape?
Causal Inference Mixtape fits situations like: asks to implement a DiD regression; write a causal inference pipeline; set up an event study; implement instrumental variables.
How do I install Causal Inference Mixtape in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill causal-inference-mixtape -a claude-code`. Or copy the skill folder (skills/10-Jill0099-causal-inference-mixtape in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/causal-inference-mixtape in your project. Claude Code loads it when a task matches its description.
How do I install Causal Inference Mixtape in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill causal-inference-mixtape -a codex`. Or copy the skill folder (skills/10-Jill0099-causal-inference-mixtape in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/causal-inference-mixtape in your project. Codex loads it when a task matches its description.
Can I use Causal Inference Mixtape 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 causal-inference-mixtape -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/causal-inference-mixtape, .gemini/skills/causal-inference-mixtape, .github/skills/causal-inference-mixtape and .opencode/skills/causal-inference-mixtape in your project.
What does Causal Inference Mixtape need to run?
SKILL.md names no scripts, command-line tools or credentials: Causal Inference Mixtape is instructions for the agent only. Our summary lists: Python 3.
Does Causal Inference Mixtape access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Causal Inference Mixtape 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 Causal Inference Mixtape use?
Causal Inference Mixtape 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 Causal Inference Mixtape use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.4k tokens, read only when the agent opens those files.
What are the alternatives to Causal Inference Mixtape?
Skills that share tags, products or a category with Causal Inference Mixtape: Stata C Plugins (dylantmoore/stata-skill, 291 stars), Capture Environment (pedrohcgs/claude-code-my-workflow, 1.7k stars), Fin Data Acquisition (csmar432/finai-research, 109 stars) and Python Panel Data (meleantonio/awesome-econ-ai-stuff, 646 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Causal Inference Mixtape?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 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.