Skill UI

This comprehensive guide serves as a technical reference for migrating applications from the Universal Windows Platform (UWP) framework to the modern WinUI 3 / Windows App SDK. It details crucial API changes, including namespace updates, window management (CoreWindow to AppWindow), threading models (CoreDispatcher to DispatcherQueue), and best practices for dialogs and background tasks. Essential for developers updating legacy UWP codebases.

Accelerate scientific Python code on NVIDIA hardware using CUDA and RAPIDS libraries. Optimizes NumPy, pandas, scikit-learn, and ML workloads for GPU execution. Includes profiling, memory management, and kernel optimization to ensure correctness and performance gains.

A comprehensive guide for developers encountering complex issues with the Claude API, including context window overflow management, debugging tool use failures, handling streaming corruption, and diagnosing unexpected stop reasons. Provides Python code snippets and diagnostic commands to ensure robust AI integration.

A comprehensive resource detailing common anti-patterns and critical mistakes when integrating with the Canva Connect API. This guide covers essential best practices, including robust token management, handling rate limits, implementing asynchronous workflows, and securing webhooks. Ideal for developers conducting code reviews, onboarding new team members, or auditing existing Canva-related integrations.

Provides comprehensive guides and code examples for deploying ClickUp-powered applications to various cloud environments like Vercel, Fly.io, and Google Cloud Run. It covers secure secret management, API token handling, setting up health checks, and processing webhooks, ensuring robust and scalable SaaS integrations.

Provides comprehensive guides on setting up ClickUp API v2 authentication. Learn how to implement both Personal API Tokens (for server-side use) and OAuth 2.0 (for multi-user applications). This skill covers secure credential management, making authenticated HTTP requests, and handling common API error codes, ensuring robust integration development.

A comprehensive guide for diagnosing and resolving common errors encountered when integrating with the Figma REST API or Figma Plugin API. It covers status codes (403, 429, 404), token management, rate limiting, and plugin-specific runtime issues, ensuring robust and stable API development.

This skill provides comprehensive instructions and code examples for deploying Figma-powered applications, such as webhook receivers and design token APIs, to various production platforms including Vercel, Google Cloud Run, and Fly.io. It covers best practices for secret management, setting up robust webhooks, and implementing health checks to ensure reliable operation in a production environment.

This comprehensive guide details how to set up robust Continuous Integration/Continuous Deployment (CI/CD) pipelines for HubSpot integrations using GitHub Actions. It covers unit tests, deep integration tests against a developer test account, and secure secret management. Ideal for automating HubSpot API testing, ensuring consistent code quality across branches, and implementing reliable deployment workflows for CRM features.

Provides comprehensive guidance and code patterns for upgrading and migrating integrations with the Linktree API. It addresses breaking changes related to link types, analytics schema updates, and profile customization fields, ensuring reliable data synchronization and link management across evolving versions.

This comprehensive guide details setting up a secure Canva Connect API integration using the OAuth 2.0 Authorization Code flow with PKCE (Proof Key for Code Exchange). It covers the entire lifecycle: client registration, token generation, code exchange for access tokens, and refreshing expired tokens. Use this skill when building applications that require programmatic access to Canva's design and asset management capabilities.

A suite of utilities designed to significantly boost Anima code generation performance. It implements file-based caching with Time-To-Live (TTL) management, enables incremental updates by tracking only changed Figma components, and optimizes output size by cleaning up comments and excess whitespace. Ideal for optimizing large batch generations or speeding up production build pipelines.