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stata-research-workbench

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UpdatedJuly 1, 2026 at 23:17

Plan, review, and package Stata empirical research workflows: .do files, data audit, logs, graph export, table building, replication, linting, and referee-response updates. Use when a user works in Stata or asks for .do/.dta research workflows.

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BaranziniLab

BaranziniLab/biorouter-skills

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SKILL.md

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name	stata-research-workbench
description	Plan, review, and package Stata empirical research workflows: .do files, data audit, logs, graph export, table building, replication, linting, and referee-response updates. Use when a user works in Stata or asks for .do/.dta research workflows.

Stata Research Workbench

Source adaptation: BioRouter-original synthesis inspired by Auto-Empirical Research Skills capability clusters, rewritten under Apache-2.0. This is native BioRouter guidance and does not copy upstream text.

When to Use

Use this skill when the user asks about Stata .do/.dta empirical research, logs, tables, graph export, replication, or Stata-specific workflow review. If the task is biomedical, clinical, or omics-specific, combine this with the appropriate BioSkills category and extension instead of treating the methods in isolation.

Intake

Collect:

Research question, estimand, and audience.
Dataset/source, file formats, licenses, access constraints, and identifiers.
Unit of analysis, time period, sample design, and outcome/treatment definitions.
Software stack and expected artifact: code, table, figure, memo, manuscript, appendix, or review response.
Whether the work is exploratory, confirmatory, replication, submission, or referee-response.

Method Gates

Before writing conclusions:

State the design and estimand before the model.
Preserve provenance for every dataset, variable, citation, and transformation.
Match inference to the sampling/assignment structure.
Identify weights, clusters, panels, repeated measures, or dependence before estimating.
Check robustness against the actual design threat, not decorative alternative models.
Keep code/table/figure outputs reproducible from a clean entry point.

BioRouter Routing

Use empirical-research-router for full workflow staging.
Use causal-identification-gates before causal language.
Use econometrics-toolkit, statistical-modeling-bayes, or financial-accounting-econometrics for adjacent method detail.
Use citation-temporal-integrity, claim-evidence-integrity, and replication-package-audit for publication-facing outputs.

Output Pattern

Return a compact plan with:

Primary route and why.
Required data/design evidence.
Minimal next command or artifact.
Failure modes.
Verification checklist before final claims.

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name	stata-research-workbench
description	Plan, review, and package Stata empirical research workflows: .do files, data audit, logs, graph export, table building, replication, linting, and referee-response updates. Use when a user works in Stata or asks for .do/.dta research workflows.

Stata Research Workbench

When to Use

Intake

Collect:

Research question, estimand, and audience.
Dataset/source, file formats, licenses, access constraints, and identifiers.
Unit of analysis, time period, sample design, and outcome/treatment definitions.
Software stack and expected artifact: code, table, figure, memo, manuscript, appendix, or review response.
Whether the work is exploratory, confirmatory, replication, submission, or referee-response.

Method Gates

Before writing conclusions:

State the design and estimand before the model.
Preserve provenance for every dataset, variable, citation, and transformation.
Match inference to the sampling/assignment structure.
Identify weights, clusters, panels, repeated measures, or dependence before estimating.
Check robustness against the actual design threat, not decorative alternative models.
Keep code/table/figure outputs reproducible from a clean entry point.

BioRouter Routing

Use empirical-research-router for full workflow staging.
Use causal-identification-gates before causal language.
Use econometrics-toolkit, statistical-modeling-bayes, or financial-accounting-econometrics for adjacent method detail.
Use citation-temporal-integrity, claim-evidence-integrity, and replication-package-audit for publication-facing outputs.

Output Pattern

Return a compact plan with:

Primary route and why.
Required data/design evidence.
Minimal next command or artifact.
Failure modes.
Verification checklist before final claims.