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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242 skills found
Perform automated, rule-based performance and reliability audits for React and Next.js applications, covering bundle size, waterfalls, rendering, and data fetching.
Fetch YouTube transcripts and subtitles. Ideal for video summarization, language learning, accessibility, and content analysis. Supports timestamped data and raw text extraction.
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
Add evlog framework integration: automate wide-event logging across your stack with standardized middleware, build configurations, testing, and documentation.
Architects enterprise AI agents from structured specs, generating production-ready code, data flow diagrams, and platform-specific logic for ServiceNow, Salesforce, and Snowflake.
Manually import markdown files into the Kurt database, fix ingestion errors, and manage document metadata via local file system synchronization.
Build accessible, consistent UIs using shadcn/ui and Tailwind CSS. Employs a component-first architecture for design systems, React Hook Form integration, and responsive mobile-first development.
Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients for automation and data extraction.
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.
Intelligently migrate existing brownfield projects to the AgenticDev structure using AI-powered analysis to reorganize documentation, generate rich frontmatter, and preserve git history.
Implement Schema.org structured data to enhance SERP visibility, improve rich result eligibility, and validate content metadata.
An AI-powered skill that automatically retrieves relevant project context from your RAG knowledge base for complex coding tasks.