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.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
432 skills found
Perform automated, rule-based performance and reliability audits for React and Next.js applications, covering bundle size, waterfalls, rendering, and data fetching.
Retrieve real-time library documentation, code examples, and technical guidance using the Context7 API for frameworks like React, FastAPI, and Next.js.
Search, discover, install, update, and manage skills for AI coding agents. Centralized interface for ecosystem-wide skill discovery and local organization.
A command-line tool to list, configure, authenticate, call, and inspect Model Context Protocol (MCP) servers via HTTP or stdio.
An AI-powered TestOps platform and MCP server providing automated failure analysis, RCA matching, and intelligent test orchestration for CI/CD pipelines.
A deep reasoning protocol that ensures systematic analysis, multi-hypothesis generation, and rigorous verification for complex architectural, debugging, and high-stakes tasks.
Intelligent RAG-based gateway that routes coding tasks to specialized Swift/iOS expertise without context window bloat. Uses MCP to retrieve precise patterns from 100+ indexed skills.
Expert Swift Concurrency review, diagnostics, and remediation for Swift 6.2+ codebases, focusing on actor isolation, Sendable safety, and modern concurrency patterns.
Monitor Claude Code usage, token consumption, productivity streaks, and skill effectiveness metrics to optimize your development workflow.
CLI tools for Svelte 5 documentation lookup and code analysis. Automate Svelte component creation, debugging, and linting with real-time documentation retrieval and code autofixing.
Audit AI skills for security vulnerabilities including prompt injection, hidden instructions, tool misuse, and data exfiltration risks.
Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.