a5c-ai/quantitative-methods
library/specializations/domains/social-sciences-humanities/social-sciences/skills/quantitative-methods/SKILL.md
Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter quantitative-methodsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 2, 2026, 10:29 AM63.5s1 file scanned
SKILL.md
- name:
- quantitative-methods
- description:
- Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python
Quantitative Methods Skill
Design and execute rigorous statistical analyses for social science research using modern analytical tools.
Overview
The Quantitative Methods skill enables design and execution of statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python for rigorous quantitative social science research.
Capabilities
Regression Analysis
- Linear regression modeling
- Logistic and multinomial regression
- Panel data methods
- Time series analysis
- Hierarchical/multilevel modeling
Hypothesis Testing
- Parametric tests
- Non-parametric alternatives
- Multiple comparison correction
- Effect size estimation
- Confidence interval construction
Power Analysis
- Sample size determination
- Effect size specification
- Power calculation
- Design optimization
- Sensitivity analysis
Robustness Checking
- Specification testing
- Outlier analysis
- Assumption verification
- Alternative estimators
- Sensitivity analysis
Tool Proficiency
- R/RStudio workflows
- Stata programming
- SPSS procedures
- Python (statsmodels, scipy)
- Output visualization
Usage Guidelines
When to Use
- Designing quantitative studies
- Analyzing survey data
- Testing hypotheses
- Building predictive models
- Validating findings
Best Practices
- Pre-register analyses
- Check assumptions
- Report fully
- Conduct robustness checks
- Document code
Integration Points
- Causal Inference Methods skill
- Survey Design and Administration skill
- Psychometric Assessment skill
- Mixed Methods Integration skill
References
- Statistical Analysis Pipeline process
- Experimental Design process
- Multilevel/Hierarchical Modeling process
- Quantitative Research Methodologist agent
Related Skills
a5c-ai/model-card-generator
development
VerifiedTrustedCommunity
Model documentation skill for generating model cards following Google's model card framework.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/mlflow-experiment-tracker
development
VerifiedTrustedCommunity
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/lime-explainer
data-ai
VerifiedTrustedCommunity
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/kubeflow-pipeline-executor
devops
VerifiedTrustedCommunity
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
680SKILL.mdUpdated Apr 28, 2026