skill
stat-research-pipeline
Open-source AI skills for AI-assisted statistical research workflows: assumption checks, test selection, modeling, manuscript-section drafting, and review checkpoints.
Set up
Skills are installed by placing their folder where your agent loads skills.
The download comes from github.com/VeraSuperHub/stat-research-pipeline itself, not from our server, so what you get is exactly what its author published.
Install instructions come from the README
README
synced Oct 23, 2026Statistical Research Pipeline
Open-source statistical research skills for Claude Code and Codex-compatible workflows.
This repository packages the Vera data/statistical research skill family for outcome detection, assumption checks, primary test selection, extended modeling, SEM workflows, manuscript-section drafting, LaTeX-ready artifact assembly, and review checkpoints.
Vera structures the execution layer. Researchers own study design, assumptions, interpretation, and submission decisions.
Skill Inventory
Reviewing Skills
| Skill | Domain | Role |
|---|---|---|
vera-data-binary-reviewing | Binary | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-cfa-reviewing | CFA | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-continuous-reviewing | Continuous | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-count-reviewing | Count | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-doe-reviewing | DOE | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-growth-reviewing | Growth/change | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-meta-reviewing | Meta-analysis | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-multivariate-reviewing | Multivariate | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-nominal-reviewing | Nominal | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-ordinal-reviewing | Ordinal | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-path-reviewing | SEM path | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-repeated-reviewing | Repeated | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-survival-reviewing | Survival | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
vera-data-timeseries-reviewing | Time series | Review inputs, assumptions, primary-test readiness, reporting constraints, and evidence quality. |
Generating Skills
| Skill | Domain | Role |
|---|---|---|
vera-data-binary-generating | Binary | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-cfa-generating | CFA | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-continuous-generating | Continuous | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-count-generating | Count | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-doe-generating | DOE | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-growth-generating | Growth/change | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-meta-generating | Meta-analysis | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-multivariate-generating | Multivariate | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-nominal-generating | Nominal | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-ordinal-generating | Ordinal | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-path-generating | SEM path | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-repeated-generating | Repeated | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-survival-generating | Survival | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
vera-data-timeseries-generating | Time series | Run extended model workflows and generate methods/results artifacts with traceable outputs. |
Pipeline Skills
| Skill | Workflow | Role |
|---|---|---|
vera-data-application-pipelining | Application | Coordinate multi-step statistical research execution, artifact assembly, and review checkpoints. |
vera-data-cfa-pipelining | CFA | Coordinate multi-step statistical research execution, artifact assembly, and review checkpoints. |
vera-data-growth-pipelining | Growth/change | Coordinate multi-step statistical research execution, artifact assembly, and review checkpoints. |
vera-data-methodology-pipelining | Methodology | Coordinate multi-step statistical research execution, artifact assembly, and review checkpoints. |
vera-data-path-pipelining | SEM path | Coordinate multi-step statistical research execution, artifact assembly, and review checkpoints. |
Install
Clone the repository:
git clone https://github.com/VeraSuperHub/stat-research-pipeline.git
Claude Code users can import vera-stat-research.plugin with the Claude Code plugin flow.
Codex users can install the extracted skill folders directly:
mkdir -p ~/.codex/skills
cp -R vera-stat-research-skillset/vera-data-* ~/.codex/skills/
You can also copy a single folder from vera-stat-research-skillset/ if you only need one skill.
Repository Contents
| Path | Purpose |
|---|---|
vera-stat-research-skillset/ | Extracted skill folders for direct inspection, editing, or Codex installation. |
vera-stat-research.plugin | Claude Code plugin bundle rebuilt from the same extracted skills. |
PLATFORM-COMPATIBILITY.md | Runtime mapping for Claude Code, Codex, and fallback behavior. |
CROSS-SKILL-INTERFACE.md | Handoff contract between reviewing and generating skills. |
Workflow Shape
Reviewing skills -> Generating skills -> Pipeline skills
| | |
assumptions extended models manuscript assembly
primary tests comparisons review checkpoints
The skills are designed to support reproducible statistical execution, not to replace statistical judgment. Treat generated methods, results, and interpretation drafts as reviewable artifacts that need domain-owner approval before use.
License
GPL-3.0. See LICENSE.