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.

Use the azure-data-tables Python SDK to work with Azure Storage Tables and Cosmos DB Table API: authenticate with Entra ID, manage tables, and perform entity CRUD, filtered queries, and same-partition batch transactions in sync or async clients.

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.

A Python client library for managing Azure Blob Storage, enabling operations like uploading, downloading, listing, and deleting blobs. Supports authentication, SAS tokens, async workflows, and performance tuning for unstructured data storage.

This Python SDK enables hierarchical file system operations for Azure Data Lake Storage Gen2. It supports file and directory management, data upload/download, access control, and async processing for big data analytics workloads. Ideal for developers managing cloud storage infrastructure.

This skill covers implementing backup and recovery strategies using tools like rsync and Restic. It includes configuring cloud storage backends such as S3 and Backblaze B2, setting up automated scheduling with cron or systemd, and following the 3-2-1 rule for data protection. Learn how to encrypt backups, manage snapshots, and restore data after incidents.