Run linting and tests, analyze diffs, and generate structured code review reports.
npx skills add https://github.com/grumps/claude-dotfiles --skill code-review-skill
Please help me install this Agent Skill. Skill: Code Review Skill Source: https://github.com/grumps/claude-dotfiles/tree/main/skills/reviewing Command: npx skills add https://github.com/grumps/claude-dotfiles --skill code-review-skill
Manual code reviews can be time-consuming, inconsistent, and prone to human error. This skill automates the initial stages of code review, providing immediate, structured feedback on correctness, style, testing, and security, allowing human reviewers to focus on higher-level architectural concerns.
just lint-for-claude) and tests (just test-for-claude) to catch common issues before human review./review-code. The skill will run all checks, analyze your changes, and provide a detailed report, helping you catch and fix issues proactively, leading to faster approvals and higher quality code.Ask Claude to "Review my staged code changes and provide feedback."
High-intent search queries and answers about installing and using this skill.
Automated code reviews analyze your changes against a comprehensive checklist covering correctness, style, testing, performance, security, and maintainability. Use `/review-code` or ask Claude to review your staged changes; the skill runs linters and tests automatically, then generates a structured report with critical issues, suggestions, and actionable feedback to catch problems before human review.
A code review checklist evaluates correctness, code quality, testing coverage, performance implications, security vulnerabilities, maintainability standards, and language-specific conventions. For Go, Python, and Kubernetes manifests, the skill applies relevant best practices and standards to ensure comprehensive feedback across all dimensions.
Yes. Automated code review runs linting and tests as part of the initial review stage, catching common issues before the comprehensive checklist analysis. This combined approach ensures both automated checks and structured evaluation of correctness, quality, and adherence to standards happen in a single workflow.
By automating linting, testing, and generating a detailed review report with file and line references, automated code review eliminates repetitive checks and surfaces critical issues upfront. Human reviewers can then focus on higher-level architectural concerns, design decisions, and logic validation instead of catching style violations or obvious bugs.
Code review includes language-specific standards for Go and Python, plus support for Kubernetes manifests. It evaluates these against domain-appropriate best practices for correctness, style, testing, performance, security, and maintainability.
Manual code review relies on human judgment and is prone to inconsistency and fatigue. Automated code review provides immediate, structured feedback using linters, tests, and a comprehensive checklist, reducing time and human error while ensuring consistent standards are applied to every change.
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