Skill UI

This guide provides expert patterns and code templates for integrating with the HubSpot CRM API. It covers secure authentication methods, including OAuth 2.0 for public apps and Private App Tokens for single-account use. Topics include CRUD operations on CRM objects, handling associations, webhooks, and batch processing. Implementation examples are provided for both Node.js and Python SDKs.

Uses ES2023+ syntax, async/await flows, and modern module patterns to write, debug, and optimise vanilla JavaScript or Node.js code—ideal when implementing promises, browser APIs, Web Workers, or reviewing .js/.mjs/.cjs files for correctness.

Automated backend guidance for Kafka producer and consumer workflows, offering best practices, code samples, and configuration help for Node.js, Python, Go, databases, caching, messaging, and microservices scenarios.

Diagnose Kling AI video generation failures by analyzing HTTP/API errors, mapping codes to causes, and applying fixes such as auth correction, parameter validation, retry/backoff, or prompt simplification before retesting.

This skill enforces a mandatory, comprehensive quality loop for all code changes. It guides users through running multiple specialized validation tools—including linters, type checkers, and security scanners—for diverse ecosystems (e.g., Node.js/TypeScript, Python). It ensures that code is robust, adheres to established style guides, and maintains type safety across all components before it can be considered complete or committed.

Provides a quick reference for diagnosing and fixing common Mistral AI errors, including authentication issues, rate limits, invalid parameters, payload limits, service outages, and timeouts, with concrete logging checks, retry logic, and remediation code snippets.

This comprehensive guide covers mastering modern JavaScript features (ES6+), advanced functional programming patterns, and industry best practices. It provides guidance on refactoring legacy code, optimizing performance, managing asynchronous operations, and building highly maintainable, scalable web applications.

This skill provides guidance on building and managing scalable monorepositories. It focuses on enabling efficient code sharing, ensuring consistent tooling across multiple packages and applications, and facilitating atomic, reliable changes. Use it when setting up new monorepo architectures, migrating from multi-repo setups, optimizing build/test performance, or establishing robust CI/CD pipelines for large, interconnected codebases.

Guides writing JavaScript inside n8n Code nodes, covering modes, data access patterns, webhook structure, return formats, helper utilities, and best practices for HTTP requests and DateTime handling.

Guides writing Python code inside n8n Code nodes, covering recommended use cases, helper data access patterns, Beta vs Native modes, and webhook/data handling rules so you can safely script workflow transformations with Python.

nanoGPT is a simplified, minimalist implementation designed specifically for educational purposes. It reproduces the core architecture of GPT-2 (124M) using clean, hackable code, allowing users to understand the entire transformer pipeline from scratch. The framework supports full workflows, including data preparation on various datasets (e.g., Shakespeare, OpenWebText), model training, and text generation, making it ideal for students and researchers learning NLP and deep learning principles.

Guides Node.js teams through choosing frameworks, runtime modes, layered architecture, error handling, async patterns, validation, and security decisions rather than copy-pasting code.