Skill UI

This skill automates the setup of Windsurf development workspaces. It handles AI rule initialization (.windsurfrules), configuring editor settings, establishing cross-editor consistency, and defining team standards for complex multi-root monorepos. Use this skill when starting a new Windsurf project or migrating an existing one to ensure standardized development practices.

Reference for building Graph Neural Networks with PyTorch Geometric, covering data objects, datasets, transforms, convolution layers, lazy initialization, and heterogeneous support so you can quickly tackle node, link, and graph tasks.

This command executes the entire AgentHub lifecycle in a single, chained invocation. It automates complex development tasks by sequentially handling initialization, capturing performance baselines, spawning multiple specialized agents, evaluating the results (via metrics or LLM judging), and finally presenting a winner for merging. Use this when running an end-to-end competition or complex refactoring task.

This skill guides the secure implementation of AES-256 in GCM mode (FIPS 197) for protecting files and data stores at rest. It covers best practices for key derivation from passwords (using PBKDF2/Argon2), proper management of initialization vectors (IVs)/nonces, and applying authenticated encryption (AEAD) to detect tampering. Use this when establishing robust security controls or performing security assessments.

Guide to adding Firebase to Flutter projects: setup, flutterfire configure, initialization in main.dart, and multi-flavor Firebase configuration with best practices.

A comprehensive CLI for managing the entire lifecycle of Windows applications. It handles initialization, building, packaging into MSIX, signing, debugging, and advanced UI automation via Microsoft UI Automation. Supports multiple modern frameworks including .NET, C++, Electron, Rust, and Flutter, streamlining the deployment process to the Microsoft Store.

This tool automates the complete specification generation process across four core phases: Initialization, Requirements, Design, and Tasks. It supports both interactive (step-by-step approval) and automatic execution modes. After generating the full spec, it performs a final sanity review to ensure coherence and completeness, providing a ready-to-implement blueprint.

A comprehensive guide for integrating the Algolia JavaScript v5 client into Node.js/TypeScript projects. It covers proper installation, secure management of Application IDs and API keys (Admin vs. Search-Only), and best practices for client initialization, ensuring robust and safe search functionality implementation.

This guide provides comprehensive instructions for setting up the AssemblyAI SDK in both Node.js and Python environments. It covers package installation, secure API key management using environment variables, and client initialization for utilizing transcription and streaming services.

A comprehensive guide detailing 10 common mistakes and best practices when integrating with the Anthropic API (Claude). It covers critical technical aspects such as correctly setting `max_tokens`, using the top-level `system` parameter, managing message alternation, checking `stop_reason`, and optimizing client initialization for robust AI application development.

A comprehensive guide for developers migrating the intercom-client npm package, particularly addressing major version jumps (e.g., v5 to v6) and associated breaking changes. Learn how to update client initialization, modify contact and conversation operations, and handle API version pinning using TypeScript and modern asynchronous patterns.

A comprehensive guide to advanced, production-ready LLM inference using LangChain 1.0. This skill addresses common pitfalls and bugs when integrating multiple providers (Claude, GPT-4o, Gemini), covering issues like structured output reliability, correct streaming token accounting, and robust handling of complex AIMessage content blocks. It teaches best practices for model initialization, provider routing, and version-safe code implementation.