Skill UI

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Guides the full workflow from exploratory data analysis to production deployment, covering experimentation, forecasting, NLP, and business intelligence for actionable insights.

Generate, refine, and validate diagrams from natural language, notes, code, or schemas. Supports Mermaid, Graphviz, and PlantUML for flowcharts, architecture, and state machines. Ideal for turning textual analysis into visuals, producing attack-path graphs, or creating editable diagram sources for reports and documentation.

This skill focuses on reversing JavaScript-based custom DSL and Virtual Machine interpreters, commonly found in risk-control and captcha engines. It involves identifying IIFE and switch-based opcode dispatch patterns, extracting opcode tables, and capturing runtime semantics. The workflow includes static analysis for variable mapping and opcode classification, as well as runtime injection techniques to understand exported functions. It excludes standard WASM and typical Webpack bundles.

This AI-powered skill enables users to upscale and enhance the resolution of images and videos. It improves visual quality by increasing pixel density and clarity through advanced machine learning models. Suitable for content creators, developers, and professionals needing higher resolution media assets for various applications.

This skill covers deploying and managing virtual machines on Google Cloud Platform using Compute Engine. It includes creating instance templates, configuring managed instance groups for auto-scaling, and utilizing preemptible or spot VMs for cost optimization. Users will learn to provision GPU instances, manage snapshots, and apply startup scripts via gcloud CLI commands for production workloads.

This skill guides the creation and maintenance of a `.geminiignore` file. By systematically filtering out machine-generated noise—such as build artifacts, dependency lock files, logs, and caches—it significantly optimizes the AI agent's context window. This process improves processing speed and, critically, reduces token consumption costs (FinOps).

Analyzes and generates llms.txt files, the emerging standard that gives AI systems a structured, machine-readable summary of a website's purpose, key pages, and facts. Covers format rules, section conventions, and the extended llms-full.txt variant for AI discoverability.

This skill guide helps developers master best practices and architectural patterns for Godot 4 game development using GDScript. It thoroughly covers implementing game systems, managing complex state machines, utilizing signals, and optimizing performance. Use this when building robust, scalable, or advanced Godot games.

Gradio is a Python library for creating interactive web user interfaces and machine learning demos. This skill covers building Gradio applications, including components, event listeners, layouts, and chatbots. It includes guides on Interface, Blocks, and ChatInterface patterns, along with key component signatures like Textbox, Number, and Slider for rapid prototyping and deployment.

Trackio is a library for logging and visualizing machine learning training metrics. It supports Python API for logging metrics and firing alerts during training, and CLI for retrieving data. Metrics sync to Hugging Face Spaces for real-time dashboards. Ideal for autonomous ML workflows and experiment management.

Build, deploy, and maintain machine-learning applications on Hugging Face Spaces using Gradio, Docker, or Static SDKs, with ZeroGPU and dedicated hardware, model loading, debugging, and inference providers.

Master modern Julia 1.10+ development with performance optimization, multiple dispatch, and production-ready practices. Covers tooling, testing, scientific computing, machine learning, web APIs, package development, and DevOps.