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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470 skills found
Perform automated, rule-based performance and reliability audits for React and Next.js applications, covering bundle size, waterfalls, rendering, and data fetching.
Real-time web search and content extraction tool using the Tavily API for research, news gathering, and up-to-date information retrieval.
Executes a rigorous, multi-phase Fagan Inspection to systematically resolve persistent, stubborn bugs and complex code interactions.
Initialize and configure Trigger.dev in your project. Essential for setting up the SDK, project configuration, directory structure, and your first background task.
Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.
Framework for building Vertesia plugins with a dual tool-server and UI architecture, featuring Hot Module Replacement, build-tools, and asset management.
Semantic code analysis guide for Serena MCP. Automatically prioritizes Serena tools for symbols, references, and code memory to optimize context and efficiency.
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
A specialized skill for generating high-quality technical documentation, code comments, API specs, and README patterns. Automates standard documentation workflows for C# and TypeScript projects.
Multi-source research tool for customer inquiries, bug investigations, and account history synthesis with source attribution and confidence scoring.
Transforms feature requests, bug reports, and improvement ideas into structured, actionable markdown project plans using repository research and industry best practices.
A modular data processing tool for cleaning, validating, and analyzing CSV files with support for custom transformations and automated dependency management.