Skill UI

Java client for Azure AI VoiceLive enabling real-time bidirectional voice chats with AI assistants over WebSocket streams, covering session setup, audio configuration, and voice selection for quick integration.

SDK for Azure Event Hubs that lets .NET apps send high-throughput event batches, buffer streams, and process events reliably with DefaultAzureCredential and checkpointing support.

SDK for Azure Event Hubs that lets .NET apps send high-throughput event batches, buffer streams, and process events reliably with DefaultAzureCredential and checkpointing support.

Guides Java developers through creating Azure Storage Blob clients, uploading and downloading blobs using streams or files, and enumerating containers/blobs with options for metadata and conditional uploads.

Implements event-driven API patterns using webhooks, SSE streams, and broker-backed emission with schema versioning, retries, and dead-letter safety for real-time systems.

Defines Java 17+ coding standards for Spring Boot services, covering naming, immutability, Optional usage, streams, exceptions, generics, project layout, and testing practices to ensure readable, maintainable code.

NeMo Curator streams GPU-accelerated curation for LLM training, with super-fast fuzzy deduplication, multimodal quality filters, semantic dedupl, PII redaction, NSFW checks, and RAPIDS-scaled pipelines for prepping massive corpora.

A comprehensive guide on creating projections and read models from event streams. This skill is essential for implementing the read side of CQRS (Command Query Responsibility Segregation), constructing materialized views, or significantly optimizing query performance in complex event-sourced architectures. Use it when data aggregation and reporting are derived from historical events.

A specialist guide for building and optimizing modern Rails 7+ web applications. Expertise covers implementing Hotwire (Turbo Frames/Streams) for partial page updates, optimizing Active Record queries (N+1 prevention), configuring real-time communication via Action Cable, managing background tasks with Sidekiq, and ensuring code quality through comprehensive RSpec testing. Ideal for complex, high-performance backend development.

Provides reusable Redis patterns for caching, rate limiting, pub/sub, streams, Lua scripts, and distributed locking to build scalable, resilient data services.

This skill guides the development of robust, high-performance asynchronous Rust applications. It covers essential production patterns using the Tokio runtime, including managing tasks, streams, channels, and proper async error handling. Ideal for implementing concurrent network services or optimizing complex async I/O logic.

TransformerLens is the standard library for performing mechanistic interpretability research on large language models. It provides clean interfaces to inspect and manipulate transformer internals—such as attention patterns, residual streams, and MLP outputs—via activation caching and HookPoints. This tool is essential for reverse-engineering model algorithms, performing causal tracing, and studying the internal circuits responsible for model behavior.