React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
Annuaire de skills
Découvrez des skills réutilisables pour les AI agents.
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
Résultats de recherche: cache-cleaner
Annuaire en anglaisDeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
BleachBit system cleaner for Windows and Linux
Free, open-source macOS cleaner. CleanMyMac alternative with zero telemetry. Native SwiftUI, scheduled auto-cleaning, Xcode/Homebrew/system cache cleanup. MIT licensed.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
A kubernetes operator for creating and managing a cache of container images directly on the cluster worker nodes, so application pods start almost instantly
A local-first framework and skill collection for architecture firms to build and share AI-assisted workflows using Claude Code.
SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis) + R/W Splitting + PropertyChangedTrack +Dynamic Repository + InvokeSync + Diagnostics
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.
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
A curated suite of AI agent skills for systems and low-level programming, covering C/C++, Rust, Zig, and various toolchain components like compilers, debuggers, and profilers.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.