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caseywdunn
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dunnlab-codereview

Standardize code review workflows for Dunn Lab projects with a structured checklist.

2|Updated Mar 12, 2026
Search Tags:#documentation#checklist#scripts#quality-assurance#code-review#pull-requests#analyses
One-click install
npx skills add https://github.com/caseywdunn/dunnlab_code --skill dunnlab-codereview
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dunnlab-codereview
Source: https://github.com/caseywdunn/dunnlab_code/tree/main/skills/dunnlab-codereview
Command: npx skills add https://github.com/caseywdunn/dunnlab_code --skill dunnlab-codereview

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code review processes in Dunn Lab projects can be inconsistent and time-consuming. This skill provides a structured, repeatable checklist to guide reviewers, ensuring thorough, high-quality feedback on scripts and analyses.

Core Features & Use Cases

  • Standardized review workflow that captures goals, data flow, and edge-case handling.
  • Comprehensive checklist covering correctness, error handling, testing, style, documentation, reproducibility, performance, and security.
  • Use Case: Apply during pull requests to audit code quality, document decisions, and improve collaboration across Dunn Lab teams.

Quick Start

Review a new PR by stepping through the checklist for code quality, testing, and documentation to ensure consistent feedback.

Frequently Asked Questions about dunnlab-codereview

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize code review workflows for scripts and analyses?▼

Standardize code review workflows by applying a structured checklist covering correctness, error handling, testing, style, documentation, data reproducibility, performance, and security to ensure consistent quality assessments across pull requests.

What should a code review checklist for data reproducibility include?▼

A code review checklist for data reproducibility should include verifying correctness, error handling, testing, style, documentation, data reproducibility, performance, and security to provide thorough feedback on scripts and analyses.

How do I ensure consistent quality assessments during pull requests?▼

Ensure consistent quality assessments during pull requests by stepping through a repeatable checklist that captures goals, data flow, and edge-case handling to guide reviewers and improve collaboration.

Can I use a standardized checklist to audit code quality and document decisions?▼

Yes, you can apply a standardized review workflow during pull requests to audit code quality, document decisions, and improve collaboration across teams working on scripts and analyses.

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