frontend-design-review
Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
608 skills found
Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.
Framework for multi-agent collaboration using the Google A2A protocol. Enables messaging, task delegation, and cross-agent coordination for CLI-based AI tools.
Create, debug, and optimize Cloudflare Durable Objects. Supports stateful coordination, RPC, SQLite storage, WebSocket handlers, and Vitest testing.
Streamline technical documentation by generating, updating, and refining README files. Tailors content for specific audiences including OSS contributors, internal teams, and personal projects.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
Automated single-cell RNA-seq quality control pipeline following scverse best practices. Performs MAD-based outlier detection, cell filtering, and diagnostic visualization for .h5ad and .h5 datasets.
Deploy applications to Vercel instantly. Supports preview and production deployments, automatic framework detection, and fallback script execution for seamless project publishing.
Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.
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.
Automates the creation of isolated git worktree environments for parallel feature development and environment setup.
Downloads YouTube videos directly to your ~/Downloads folder using yt-dlp. Supports high-quality audio and video extraction.
Break down complex development requests into sequenced, actionable tasks for multi-agent delegation in Claude Code environments.