Skill UI

A comprehensive guide to production-ready patterns for using the Groq SDK in TypeScript and Python. Covers best practices for client singleton setup, type-safe completions, streaming, robust error handling (rate limiting, API errors), and implementing exponential backoff retries to ensure stable, high-performance LLM integration.

A comprehensive guide to building scalable, event-driven architectures using the Groq API. Learn advanced patterns including Server-Sent Events (SSE) for real-time streaming, batch processing with job queues (e.g., BullMQ), and processing incoming webhook events for robust LLM pipelines.

A specialized AI assistant acting as an expert Haskell engineer. This skill focuses on advanced type systems (GADTs, type families), pure functional architecture, concurrency (STM, async), and high-assurance software design. Use it for building robust, idiomatic, and maintainable Haskell code.

A comprehensive guide detailing the core principles of Apple's Human Interface Guidelines (HIG). It covers essential topics such as accessibility (VoiceOver, Dynamic Type), utilizing system colors and materials, adhering to platform conventions, and best practices for typography, layout, and motion. Use this guide to ensure your application design is native, inclusive, and highly polished across all Apple operating systems.

This skill provides advanced secondary workflows for Ideogram, enabling comprehensive image manipulation beyond simple text-to-image generation. Key functions include Magic Fill (inpainting/editing), Remix (style transfer), Upscaling, describing image content (image-to-text), and re-framing. Ideal for professional image refinement, style transfer, and content enhancement.

This guide outlines the process of migrating codebase dependencies and logic when upgrading the Ideogram API from legacy versions (V1/V2) to the robust V3 endpoints. It addresses critical breaking changes, including the shift from JSON body to multipart/form-data, changes in model naming, aspect ratio syntax, and the integration of new V3 features like rendering speed and style presets. Provides structured code adapters for smooth transition.

Guides data-engineering teams through configuring incremental loads in pipelines, covering best practices, orchestration tips, example code, and output validation for streaming or batch workflows.

Instructor lets you shape LLM responses into validated Pydantic models, automatically retrying failed extractions, parsing complex JSON with type safety, and streaming partial outputs across Anthropic, OpenAI, and other providers.

Interprets Culture Index survey and profile data to explain behavioral traits, team gas/brake/glue dynamics, burnout risk, hiring profiles, coaching cues, interview trait prediction, and conflict mediation, accepting extracted JSON or verified PDF input.

Transforms messy invoices, receipts, and bank docs into structured folders by reading files, extracting vendors, dates, amounts, and descriptions, renaming them consistently, and sorting copies ready for tax prep or accountant handoff.

Defines Java 17+ coding standards for Spring Boot services, covering naming, immutability, Optional usage, streams, exceptions, generics, project layout, and testing practices to ensure readable, maintainable code.

Automates Kafka stream processor workflows within data pipelines, offering step-by-step guidance, best practices, production-ready code and configurations, and validation to support ETL, data transformation, workflow orchestration, and streaming data processing.