Skill UI

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.

This skill provides a specialized guide for migrating Godot 3.x projects to Godot 4, focusing on GDScript 2.0 syntax changes. It covers key updates like the new Tween system, export annotations, and signal connections. Use this when porting existing projects, encountering syntax errors after upgrading, or replacing deprecated nodes. It includes best practices for typed arrays, coroutines, and troubleshooting common migration issues to ensure a smooth transition.

Hono is a minimal and ultrafast web framework built entirely on Web Standards (Request/Response/fetch). It allows developers to build high-performance APIs and full-stack applications that run seamlessly across multiple environments, including Cloudflare Workers, Deno, Bun, and Node.js. It is ideal for edge deployment, Backend for Frontend (BFF) layers, and type-safe backend services.

Expert patterns for HubSpot CRM integration covering OAuth authentication, CRM objects, associations, batch operations, webhooks, custom objects, and Node.js/Python SDKs.

This skill helps identify and exploit specific vulnerabilities in Node.js applications. It covers techniques like prototype pollution, Express trust proxy abuse, and template engine SSTI. Users must have explicit authorization before testing. It includes fingerprinting, detection, and exploitation chains for critical security issues.

Scaffold production-ready TypeScript projects with modern tooling including pnpm, Vite, Next.js, type safety, testing setup, and best practices. Supports Next.js, React+Vite, Node.js API, libraries, and CLI projects.

A skill for reverse engineering front-end web applications. It helps locate API signature chains, analyze encrypted request parameters, sample runtime behavior, and reproduce logic locally in Node.js for evidence-based output. Suitable for security assessments and understanding client-side encryption.

Secure LLM-powered applications against prompt injection, data leakage, and abuse using input validation, output controls, and tenant isolation. Implements OWASP LLM Top 10 mitigations with Python and Node.js examples.

This skill enables horizontal scaling of Large Language Model inference clusters on Kubernetes. It utilizes KEDA for event-driven autoscaling based on custom GPU metrics like request queues and cache usage. The guide covers deploying vLLM on GPU nodes, configuring Prometheus for monitoring, implementing spot instance strategies for cost efficiency, and setting up queue-based scaling for batch jobs. It ensures optimal resource utilization and cost management for high-traffic AI workloads.

This skill enables developers to override Markstream node renderers and add trusted custom tags across Vue, React, Svelte, and Angular. It allows scoped or renderer-local mappings without replacing the parser. Useful for customizing built-in elements or rendering specific tags like thinking. It emphasizes security by treating custom tags as trusted input and maintaining safe HTML policies.

Build Model Context Protocol servers to enable LLMs to interact with external APIs and services. Supports Python (FastMCP) and Node/TypeScript (MCP SDK) for creating tools that help AI agents accomplish real-world tasks. Learn to design well-structured tools, manage context, and implement transport mechanisms like stdio or Streamable HTTP.

This skill generates standardized, production-ready `mise.toml` configurations. It helps developers standardize runtime versions across mixed-language projects (e.g., Node.js, Python, Go, etc.) and CI/CD pipelines, eliminating the need for multiple legacy version managers like asdf or nvm. Ideal for ensuring reproducible, consistent development environments.