tag

review

141 indexed skills · max 10 per page

skills (141)

rust-expert-best-practices-code-review

wispbit-ai/skills · Backend

0

Simple, pragmatic, opinionated. Only what matters for writing production-grade Rust code.

book-review

readwiseio/readwise-skills · Productivity

0

book-review

encore-go-code-review

encoredev/skills · Backend

0

When reviewing Encore Go code, check for these common issues:

comprehensive-review-pr-enhance

sickn33/antigravity-awesome-skills · Productivity

0

Add checklist sections only when the matching file category appears in the diff:

review-docs

tldraw/tldraw · Documents

0

This skill runs an evaluation and improvement loop on a documentation file.

performance-testing-review-ai-review

sickn33/antigravity-awesome-skills · AI/ML

0

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

0

ui/ux-design-review

nestjs-code-review

giuseppe-trisciuoglio/developer-kit · Productivity

0

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

0

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

0

Cross-model validation using the codex binary directly. Claude writes code, Codex reviews it — different architecture, different training distribution, no self-approval bias.

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