Plugins
11 plugins@fradser
Plugin Optimizer
Validates and optimizes Claude Code plugins against official best practices and file patterns
2 skills · plugin
curated
Generate Project README
Generate a comprehensive README.md by analyzing the codebase and following best practices.
5 skills · plugin
curated
Secure Firebase Backend
Installs a pipeline to validate, plan, execute, and enforce Firebase security best practices.
7 skills · plugin
curated
Build Spring Boot REST API
Scaffold a Spring Boot project and implement REST API following best practices.
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
@microsoft
Azure SDK Java
Azure SDK patterns and best practices for Java developers covering AI, communication, storage, identity, monitoring, and management libraries.
26 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
curated
Publish Technical Blog Post
Write, review, and publish a developer-focused technical blog post following brand guidelines and SEO best practices.
5 skills · plugin
@microsoft
Azure SDK Rust
Azure SDK patterns and best practices for Rust developers covering identity, Key Vault, storage, Cosmos DB, and Event Hubs.
9 skills · plugin
@microsoft
Azure SDK Dotnet
Azure SDK patterns and best practices for .NET developers covering AI, resource management, identity, messaging, and Key Vault libraries.
29 skills · plugin
@microsoft
Azure SDK Typescript
Azure SDK patterns and best practices for TypeScript/Node.js developers covering AI, storage, identity, monitoring, and messaging libraries.
24 skills · plugin
Results for “best-practices”
4 skillsJax
High-performance numerical computing with JAX, covering functional transformations, Flax NNX, and best practices for ML research.
567 · bundle
Pytorch
Provides guidance on using PyTorch for deep learning, covering tensors, autograd, nn.Module, DataLoaders, and best practices.
1
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AI Ml Technologies
Covers AI, machine learning, LLMs, prompt engineering, and blockchain development with code examples and best practices for building AI applications and smart contracts.
567 · bundle
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