productivity▌
6,493 indexed skills · max 10 per page
shadcn
pproenca/dot-skills · Productivity
58 community-maintained best practices for shadcn/ui component development, organized by priority and impact. \n \n Covers 10 rule categories spanning CLI setup, component architecture, accessibility, styling, forms, data display, layout, composition, performance, and state management \n Each rule includes specific guidance on Radix primitives, Tailwind styling, React Hook Form integration, and accessibility compliance \n Prioritized by impact: CRITICAL rules for setup and architecture, HIGH for
disk-cleaner
gccszs/disk-cleaner · Productivity
Example:
tauri
martinholovsky/claude-skills-generator · Productivity
This skill uses a split structure for HIGH-RISK requirements:
configuring-tauri-permissions
dchuk/claude-code-tauri-skills · Productivity
This skill covers the Tauri v2 permission system for controlling frontend access to backend commands and system resources.
tauri-event-system
bobmatnyc/claude-mpm-skills · Productivity
Basic event emission:
clean-code
wondelai/skills · Productivity
A disciplined approach to writing code that communicates intent, minimizes surprises, and welcomes change. Apply these principles when writing new code, reviewing pull requests, refactoring legacy systems, or advising on code quality improvements.
binance-futures
alsk1992/cloddsbot · Productivity
Trade perpetual futures on Binance with up to 125x leverage and full database tracking.
csharp-concurrency-patterns
aaronontheweb/dotnet-skills · Productivity
Navigate .NET concurrency from async/await through Channels to Akka.NET based on your specific problem. \n \n Start with async/await for I/O-bound work; escalate only when you hit a concrete limitation that simpler tools can't address cleanly \n Use Parallel.ForEachAsync for CPU-bound parallelism, Channel<T> for producer/consumer decoupling with backpressure, and Reactive Extensions for UI event composition \n Akka.NET Actors handle stateful entity management, state machines with Become() ,
numpy-best-practices
mindrally/skills · Productivity
Expert guidelines for NumPy development, focusing on array programming, numerical computing, and performance optimization.
torch-geometric
davila7/claude-code-templates · Productivity
PyTorch Geometric is a library built on PyTorch for developing and training Graph Neural Networks (GNNs). Apply this skill for deep learning on graphs and irregular structures, including mini-batch processing, multi-GPU training, and geometric deep learning applications.