Plugins
12 plugins@owl-listener
Interaction Design
Interaction design skills: micro-interactions, animation principles, state machines, gesture patterns, error handling UX, and feedback patterns.
16 skills · plugin
curated
Backend Framework Patterns
For developers building production-grade backends with NestJS, Spring Boot, or Ktor, covering architecture patterns and best practices.
7 skills · plugin
@dotnet
Dotnet Blazor
Skills for Blazor development: component authoring, interactivity, and web application patterns.
9 skills · plugin
@atc-net
Dotnet
C#/.NET development skills including refactoring, testing, async patterns, documentation, and NuGet management
7 skills · plugin
curated
Component Spec and Pattern Library
Document component anatomy, variants, and usage patterns for consistent implementation.
5 skills · plugin
@fradser
Plugin Optimizer
Validates and optimizes Claude Code plugins against official best practices and file patterns
2 skills · plugin
curated
Deploy GKE Cluster
Creates a GKE cluster, configures networking, sets up observability, and applies reliability patterns.
5 skills · plugin
@dotnet
Dotnet Aspnetcore
ASP.NET Core web development skills including middleware, endpoints, real-time communication, and API patterns.
4 skills · plugin
curated
React Motion UI System
Install foundational motion tokens, UI patterns, and accessibility enforcement for React/Next.js.
5 skills · plugin
@owl-listener
UX Strategy
UX strategy skills: information architecture, content strategy, navigation patterns, user flows, task analysis, and competitive UX audits.
12 skills · plugin
curated
Migrate Legacy SDK
Migrate from a legacy SDK to a new version using mapping tables, deprecation patterns, and verification.
3 skills · plugin
@microsoft
Azure SDK Python
Azure SDK patterns and best practices for Python developers covering AI, storage, identity, monitoring, messaging, and management libraries.
40 skills · plugin
Results for “patterns”
6 skills
affaan-m pytorch-patterns
Provides idiomatic PyTorch patterns and best practices for building robust, efficient, and reproducible deep learning applications, covering model architecture, training loops, data pipelines, and checkpointing.
226k
neuralblitz algorithms
Implements and applies algorithms concepts, designs solutions using algorithmic principles, and optimizes performance for algorithm implementations.
1
majiayu000 sft
Fine-tune instruction-following LLMs with Unsloth's optimized SFTTrainer, covering dataset formatting, chat templates, training configuration, and thinking-model patterns.
567 · bundle
More results
samyakjhaveri cuda-omp-translator
Reference guide for evaluating LLM-generated translations between CUDA and OpenMP, covering memory model mapping, kernel launch patterns, shared memory, atomics, and common failure modes.
0
nvidia nemo-mbridge-perf-moe-long-context
Provides guidance for training Mixture-of-Experts models with long context windows, covering context parallelism sizing, selective recomputation, dispatcher choices, and practical patterns from recent experiments.
2.2k · bundle
mukul975 detecting-model-extraction-attacks
Detect model stealing, model inversion, and membership inference performed through inference-API abuse by monitoring query patterns, applying output perturbation, and red-teaming your own model's extractability.
24.6k · bundle