review▌
141 indexed skills · max 10 per page
rust-expert-best-practices-code-review
wispbit-ai/skills · Backend
Simple, pragmatic, opinionated. Only what matters for writing production-grade Rust code.
book-review
readwiseio/readwise-skills · Productivity
book-review
encore-go-code-review
encoredev/skills · Backend
When reviewing Encore Go code, check for these common issues:
comprehensive-review-pr-enhance
sickn33/antigravity-awesome-skills · Productivity
Add checklist sections only when the matching file category appears in the diff:
review-docs
tldraw/tldraw · Documents
This skill runs an evaluation and improvement loop on a documentation file.
performance-testing-review-ai-review
sickn33/antigravity-awesome-skills · AI/ML
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, Claude 4.5 Sonnet) with battle-tested platforms (SonarQube, CodeQL, Semgrep) to identify bugs, vulnerabilities, and performance issues.
ui/ux-design-review
rknall/claude-skills · Frontend
ui/ux-design-review
nestjs-code-review
giuseppe-trisciuoglio/developer-kit · Productivity
Provides structured code review for NestJS applications. Findings categorized by severity (Critical, Warning, Suggestion) with actionable recommendations. Delegates to nestjs-code-review-expert agent for deep analysis.
react-code-review
giuseppe-trisciuoglio/developer-kit · Frontend
This skill provides structured, comprehensive code review for React applications. It evaluates code against React 19 best practices, component architecture patterns, hook usage, accessibility standards, and production-readiness criteria. The review produces actionable findings categorized by severity (Critical, Warning, Suggestion) with concrete code examples for improvements.
codex-review
hyperb1iss/hyperskills · Productivity
Cross-model validation using the codex binary directly. Claude writes code, Codex reviews it — different architecture, different training distribution, no self-approval bias.