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review-checklist

Classify code review findings by severity rubric for sprint reviews.

Updated Jan 26, 2026
Search Tags:#software engineering#quality assurance#code review#pull requests#severity classification#review checklist
One-click install
npx skills add https://github.com/l3ocho/mktpl-claude-datasaas --skill review-checklist-l3ocho
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-checklist
Source: https://github.com/l3ocho/mktpl-claude-datasaas/tree/main/plugins/projman/skills/review-checklist
Command: npx skills add https://github.com/l3ocho/mktpl-claude-datasaas --skill review-checklist-l3ocho

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Defines code review criteria and severity classification to standardize feedback and risk assessment during sprint reviews.

Core Features & Use Cases

  • Severity taxonomy: Critical, Warning, and Recommendation categories with concrete examples.
  • Language checks: Review patterns by Python, JavaScript/TypeScript, Go, and Rust for common antipatterns.
  • Output templates: Predefined verdicts, bullet lists, and recommended follow-ups for sprint planning and issue creation.

Quick Start

Run the review-checklist on the latest PR to generate a structured code-review summary.

Frequently Asked Questions about review-checklist

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

FAQPage Schema
How do I standardize code review findings for pull requests?▼

Standardize code review findings by applying a fixed severity rubric of Critical, Warning, and Recommendation categories to produce consistent feedback. This classification enables traceable risk assessment during pre-sprint-close reviews across software projects.

What is the best way to classify code review severity before closing a sprint?▼

Classify code review severity using a fixed taxonomy of Critical, Warning, and Recommendation categories with concrete examples. This approach generates structured verdicts and recommended actions suitable for integration into sprint planning and issue creation.

Does the review checklist support common antipattern checks for Python and Go?▼

Yes, the review checklist supports language checks for Python, JavaScript/TypeScript, Go, and Rust. It reviews code patterns to identify common antipatterns specific to these languages during pull request evaluations.

Can I integrate code review verdicts directly into sprint tooling?▼

Yes, you can integrate review verdicts into sprint tooling using the predefined output templates. These templates provide bullet lists of findings and recommended follow-up actions formatted for sprint planning and issue creation.

How do I generate a structured code-review summary for the latest PR?▼

Generate a structured code-review summary by running the review checklist on the latest pull request. It outputs a standardized verdict, recommended actions, and a formatted template identifying traceable risks based on a severity rubric.

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