Skill UI

This skill estimates the download size and sync frequency cost of an offline profile before pushing it to users. It performs read-only diagnostics, verifying the profile, counting rows per table with scope filters, and calculating cache size. Useful for sanity checks before setup or assignment to prevent data cap surprises.

A comprehensive guide to best practices for persisting player data in Roblox using DataStoreService. Learn how to safely load data on player join, ensure reliable saving on player leave or server shutdown, implement pcall guards, and manage ordered leaderboards. Essential for any server-side Roblox experience requiring permanent state.

Configure offline mode for Power Apps mobile applications by creating Mobile Offline Profiles in Dataverse. This wizard handles table scope, relationships, columns, and sync frequency through a 3-gate approval flow. Supports iOS/Android native targets only. Validates project initialization and environment configuration before proceeding.

Automates the conversion of visual designs from Stitch into high-quality, modular React and Vite components. This skill ensures strict adherence to modern architectural standards, including logic isolation via custom hooks, data decoupling, and robust type safety using TypeScript. It manages complex workflows like network fetching, style guide synchronization, and multi-phase validation to generate production-ready frontend code.

Framework for AI media writing inspired by Synced. Focuses on paper-first reporting, quantitative data, academic plus industry parallelism, layered analysis, and productized content. Applies to deep tech reviews, model benchmarks, industry trend reports, and editorial commentary.

Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states. Ideal for frontend development tasks involving state management and user interface implementation.

This skill provides comprehensive guidance on implementing high-performance, non-blocking applications in Python. It utilizes asyncio, async/await, and advanced concurrency patterns to handle I/O-bound workloads efficiently. Ideal for building async web APIs, real-time systems, and concurrent data processing.

Python client library for Azure Cosmos DB NoSQL API. Enables document CRUD, SQL queries, container and database management, and globally distributed data operations with sync and async clients.

Python SDK for Azure Tables (Storage and Cosmos DB Table API) covering NoSQL key-value storage, entity CRUD, filtered queries, batch transactions, and async clients via azure-data-tables and azure-identity.

This skill provides a Java SDK client library for sending custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE). It covers installation, client creation, synchronous and asynchronous uploads, error handling, and best practices for ingestion.

Send custom logs to an Azure Monitor Log Analytics workspace with the Python Logs Ingestion API. Covers authentication, Data Collection Rules, batching, async clients, and error handling.

Query Azure Monitor logs and metrics from Python using LogsQueryClient and MetricsQueryClient with authentication, batching, async, and pandas support.