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Causal Inference: The Mixtape — Code Skill · brycewang-stanford | DecimalAI

scienceby brycewang-stanford

Causal Inference: The Mixtape — Code Skill

causal-inference-mixtape

Source brycewang-stanford/Auto-Empirical-Research-Skills ↗License NOASSERTION

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.

SkillScore26Maintained

Automatic

Data Analyst pack

Last verified 7/27/2026

What it changes

Passed 6 of 23 test cases with the skill, and 1 of 23 without it.

Without skill4%

With skill26%

5 fixed1 passed either way17 still failing0 broke

Pass-rate lift: +22 pp
Tokens: +58%
Agent turns: 0%
Response time: -17%

Model gemini-3.6-flashMeasured 7/27/2026v16 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/causal-inference-mixtape/SKILL.md https://app.decimal.ai/s/causal-inference-mixtape/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add causal-inference-mixtape, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/causal-inference-mixtape/ and pins it in .decimal/skills.lock

decimalai skills add causal-inference-mixtape

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/causal-inference-mixtape/SKILL.md https://app.decimal.ai/s/causal-inference-mixtape/SKILL.md

Raw file: /s/causal-inference-mixtape/SKILL.md ↗ · machine-readable summary at /s/causal-inference-mixtape.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

What's inside

The instructions your model reads when the skill loads.

SKILL.md122 lines3 files

Causal Inference: The Mixtape — Code Skill

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.

Methods Covered

Method	Python	R	Stata	Reference
OLS / Regression	statsmodels	estimatr	reg/reghdfe	`references/method-patterns.md` §1
Difference-in-Differences	statsmodels + C()	lfe/fixest	xtreg/reghdfe	`references/method-patterns.md` §2
Event Study (Dynamic DiD)	manual lead/lag	estimatr	reghdfe	`references/method-patterns.md` §3
Staggered DiD / TWFE	statsmodels	bacondecomp	bacondecomp	`references/method-patterns.md` §4
Regression Discontinuity	statsmodels polynomial	rdrobust	rdplot/rdrobust	`references/method-patterns.md` §5
Instrumental Variables	linearmodels IV2SLS	AER/ivreg	ivregress 2sls	`references/method-patterns.md` §6
Synthetic Control	rpy2 → R Synth	Synth + SCtools	synth	`references/method-patterns.md` §7
Matching / PSM / IPW	manual logit + weights	MatchIt + Zelig	teffects/cem	`references/method-patterns.md` §8
DAGs / Collider Bias	dagitty (conceptual)	dagitty/ggdag	—	`references/method-patterns.md` §9
Randomization Inference	permutation loop	ri2	ritest	`references/method-patterns.md` §10

Core Workflow

Implement a Causal Method

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)

Choose the Right Language

Scenario	Recommendation
ML pipeline integration	Python (statsmodels + linearmodels)
Synthetic Control	R (Synth package) or Stata (synth) — Python lacks mature implementation
Bacon decomposition	R (bacondecomp) or Stata — no Python equivalent
Publication-ready tables	Stata (outreg2/esttab) or R (stargazer/modelsummary)

Track record

Benchmark

6 / 23

test cases passed, vs 1 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/30/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

brycewang-stanford / Auto-Empirical-Research-Skills

skills/10-Jill0099-causal-inference-mixtape/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 8/2/2026Version v1Bundled 2 files

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What's inside

Causal Inference: The Mixtape — Code Skill

Methods Covered

Core Workflow

Implement a Causal Method

Choose the Right Language

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills