review-react-best-practices
Perform automated, rule-based performance and reliability audits for React and Next.js applications, covering bundle size, waterfalls, rendering, and data fetching.
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322 skills found
Perform automated, rule-based performance and reliability audits for React and Next.js applications, covering bundle size, waterfalls, rendering, and data fetching.
Guide for implementing features using architecture-first design, TDD, rich domain models, and Swift 6.2 patterns, ensuring a clean separation between Domain, Infrastructure, and App layers.
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
Systematic debugging workflow for MCP servers and Microsoft Copilot Studio integrations, featuring common fix patterns and validation scripts.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.
CLI-only iOS development agent for Swift, SwiftUI, and UIKit. Handles the full lifecycle: build, debug, test, and release without Xcode.
Security-first auditing framework for AI-generated code. Provides multi-level protection including hardcoded secret detection, dangerous pattern identification, and comprehensive vulnerability audits for modern web applications.
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, or performing systematic code audits.
Test and validate n8n workflow triggers, including webhooks, scheduling (cron), polling mechanisms, and event-driven architectures.
Complete browser automation with Playwright. Features local dev server detection, script generation, screenshot capture, form filling, responsive testing, and UX validation.
Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.
Analyze and audit React projects for security, performance, correctness, and architecture issues with actionable diagnostics and scoring.