React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
Directorio de skills
Descubre skills reutilizables para AI agents.
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Resultados de búsqueda: lazy-loading
Directorio en inglésAI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
A curated set of agent skills for Qdrant vector search, providing structured knowledge on scaling, optimization, monitoring, deployment, and SDK usage.
A plugin for OpenCode that provides dynamic skill loading, context injection, and other tools for using reusable AI agent skills.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Curated collection of 14 domain-specific agent skills covering the CesiumJS API, installable as a Claude Code plugin or via the Agent Skills standard.
Blazing-fast terminal UI for managing AI agent skills.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.