Guide code reviews through structured checklists and evidence-based feedback.
npx skills add https://github.com/avav25/ai-assets --skill code-review-avav25
Please help me install this Agent Skill. Skill: code-review Source: https://github.com/avav25/ai-assets/tree/main/.windsurf/skills/code-review Command: npx skills add https://github.com/avav25/ai-assets --skill code-review-avav25
It guides reviewers through a structured framework to identify defects, regressions, and quality gaps during code reviews, reducing ambiguity and rework.
Initiate a review by loading the structured checklist into the PR and following the prompts.
High-intent search queries and answers about installing and using this skill.
Perform a structured code review by loading a predefined checklist into the PR and following prompts to assess architecture alignment, test coverage, security, and performance. This workflow identifies defects and quality gaps while providing evidence-based feedback to reduce ambiguity and rework.
A checklist-driven code review workflow ensures consistency across PRs by guiding reviewers through structured prompts. It enforces comprehensive requirements for architecture alignment, test coverage, risk mitigation, and documentation, resulting in clear outcomes and evidence-based feedback templates.
Yes, this structured review process applies across feature PRs, architecture revisions, and security or performance audits. It guides reviewers through targeted checklists to identify vulnerabilities, performance bottlenecks, and quality gaps with evidence-based feedback.
The best way to ensure test coverage and architecture alignment is to apply a structured review framework with defined checklists. This enforces comprehensive review requirements, guiding reviewers to provide evidence-based feedback and clear outcomes for code changes.
Reduce ambiguity and rework during code reviews by following a structured framework with defined feedback templates. This guides reviewers through evidence-based checklists to identify defects, regressions, and quality gaps, ensuring clear outcomes for developers.
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OneWave-AIReview code for security vulnerabilities, performance bottlenecks, and maintainability issues.
