Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

marginaleffects · brycewang-stanford | DecimalAI

scienceby brycewang-stanford

marginaleffects

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

Manual for the marginaleffects R and Python package, and guide to the book "Model to Meaning".

SkillScore59Maintained

Automatic

Data Analyst pack

Last verified 7/27/2026

What it changes

Passed 13 of 22 test cases with the skill, and 1 of 22 without it.

Without skill5%

With skill59%

12 fixed1 passed either way9 still failing0 broke

Pass-rate lift: +55 pp
Tokens: +47%
Agent turns: 0%
Response time: -36%

Model gemini-3.6-flashMeasured 7/27/2026v113 of 22 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/marginaleffects/SKILL.md https://app.decimal.ai/s/marginaleffects/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add marginaleffects, 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/marginaleffects/ and pins it in .decimal/skills.lock

decimalai skills add marginaleffects

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

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

Raw file: /s/marginaleffects/SKILL.md ↗ · machine-readable summary at /s/marginaleffects.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.md150 linessingle file

marginaleffects

Primary source of information: https://marginaleffects.com Free book, case studies, and vignettes are available there.

Package manual for R and Python, plus a guide to the companion book.

Book: Model to Meaning: How to Interpret Statistical Models in R and Python

Author: Vincent Arel-Bundock (2026)
Publisher: CRC Press
Free online: https://marginaleffects.com (primary source with many case studies and vignettes)
Print: https://routledge.com/9781032908724

Core framework: Five questions for every analysis

Every interpretation task can be decomposed into five disciplined questions:

Quantity: What estimand? (predictions, comparisons, slopes, or tests)
Predictors (Grid): Where to evaluate? (observed values, counterfactual scenarios, balanced grids)
Aggregation: Over whom? (unit-level, group means with by=, weighted averages)
Uncertainty: Which inference method? (delta method, robust SE, bootstrap, Bayesian)
Test: What hypothesis? (null tests, equivalence, pairwise contrasts)

Quick start

Chapter summaries: Read chapters/<chapter>.qmd Function reference: Read man/r/<function>.md or man/python/<function>.md

When to use this skill

User asks about predictions, comparisons, slopes, or marginal effects
User needs help choosing estimands (ATE, ATT, CATE, risk difference, odds ratio)
User asks about marginaleffects function syntax or arguments
User wants to interpret model results or test hypotheses
User mentions counterfactual analysis, G-computation, or causal inference
User references Model to Meaning chapters

Instructions

Classify the request:

Track record

Benchmark

13 / 22

test cases passed, vs 1 / 22 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/39-vincentarelbundock-marginaleffects/SKILL.md

View on GitHub ↗

License CC-BY-4.0Imported 8/2/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

What's inside

marginaleffects

Core framework: Five questions for every analysis

Quick start

When to use this skill

Instructions

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills