Skill UI

This guide covers essential security best practices for utilizing Together AI's OpenAI-compatible API for inference, fine-tuning, and model deployment. It provides code examples and architectural advice on secure API key management, robust webhook signature verification, input validation using schemas (like Zod), and implementing data redaction pipelines to protect sensitive information in logs and datasets. Essential for building secure AI applications.

This comprehensive guide details the process for upgrading the `webflow-api` SDK, specifically migrating from Webflow Data API v1 to v2. It covers critical breaking changes, including authentication method updates, endpoint structure changes (e.g., v1 to v2 base URL), and method call changes (e.g., PUT to PATCH). It provides detailed maps and code examples to ensure developers can maintain robust and up-to-date Webflow integrations.

A comprehensive guide detailing advanced security threats in Machine Learning and AI systems. Covers model supply chain attacks (RCE via pickle, poisoning), adversarial examples (FGSM, PGD, physical-world), data privacy breaches, and LLM-specific vulnerabilities. Essential for building robust, secure AI pipelines.

This resource provides documentation and examples for common design patterns utilized within the Quarkus framework. It is designed to guide developers in implementing robust, cloud-native microservices architecture by adhering to established best practices of the Quarkus ecosystem.

This advanced helper assists users in writing, debugging, and validating complex formulas, pivot tables, and array functions for platforms like Excel and Google Sheets. It ensures formulas are robust by handling common edge cases (e.g., blank rows, mixed data types, time zone quirks) and provides detailed, worked examples. It also manages cross-platform dialect translation.

An internal utility designed for deep analysis of Python tracebacks. It performs Python-specific root-cause checks, provides guidance for minimal reproducible examples using pytest, and identifies precise targets for implementing defensive coding practices (like guard clauses or schema validation). Ideal for advanced debugging scenarios.

This skill transforms raw API specifications, Postman collections, or verbal descriptions into clean, developer-facing documentation. It produces comprehensive guides including detailed endpoints, parameters, request/response schemas, standardized error codes, and runnable code examples, making it ideal for developer portals or README files.

A comprehensive guide detailing the aesthetic and technical implementation of AI-native user interfaces for web and mobile applications. It emphasizes conversational flow, adaptive layouts, and generative state visual cues, providing CSS, SwiftUI, and Flutter code examples.

A comprehensive guide for implementing Brutalist Typography aesthetics across web and mobile platforms. This style intentionally breaks traditional design rules, utilizing massive system fonts, clashing colors (Black, White, Red), and aggressive layouts (overlapping, negative margins) to create a raw, attention-demanding, and unapologetic visual experience. Includes detailed CSS, SwiftUI, Flutter, and React Native examples.

A comprehensive style guide for implementing the Cyber Y2K aesthetic across web and mobile applications. This design package captures the retro-futuristic blend of late 90s/early 2000s digital culture, modern glitch art, and iridescent holographic gradients. It provides detailed code examples using CSS, SwiftUI, and Flutter to achieve key effects like RGB splitting, animated gradients, and aggressive vector typography.

This comprehensive guide outlines the core principles for implementing effective and aesthetically pleasing dark mode across multiple platforms. It covers critical rules such as avoiding pure black backgrounds, defining elevation using lightness contrast, and utilizing desaturated accent colors to reduce eye strain. Detailed code examples for Web (CSS), iOS (SwiftUI), and Flutter are provided, ensuring a premium, high-fidelity user experience.

A comprehensive guide for designing and implementing professional, data-driven dashboards across web, iOS, and Flutter. It details core principles like modular grid layouts, establishing data hierarchy (KPIs, charts), and maintaining minimalist aesthetics. Includes specific code examples using CSS Grid, SwiftUI, and Flutter widgets to ensure optimal user experience and data clarity.