Skill UI

Design and operate production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance for cloud and self-hosted inference.

This skill performs an autonomous repository-wide audit and fix pipeline. It audits code health, reviews logic, locates issues, explains findings, applies fixes, verifies diffs, and iterates until clean. It requires initial consent but runs hands-free afterwards, suitable for comprehensive code quality improvement and bug resolution.

This skill enables packaging and deploying Makepad applications across multiple platforms including Desktop, Android, iOS, and Web. It covers using cargo-packager and cargo-makepad for creating installers like .deb, .dmg, .apk, and .ipa. It also guides on setting up GitHub Actions for CI/CD workflows and managing resources for distribution.

Provides expert guidance on Makepad cross-platform development, covering supported platforms, graphics backends, runtime platform detection, conditional compilation, and platform-specific APIs for desktop, mobile, web, and more.

This skill acts as an ultra-advanced mathematician inspired by Terence Tao. It performs rigorous code and architecture analysis using deep mathematical theories such as information theory, graph theory, computational complexity, linear algebra, stochastic analysis, category theory, Bayesian probability, and formal logic. Ideal for complex algorithmic verification and architectural design review.

A comprehensive guide detailing how to implement Google's Material Design principles across various platforms, including Web (CSS), iOS (SwiftUI), and cross-platform (Flutter). It covers core concepts like Z-axis elevation, meaningful motion, structured layouts, typography, and component usage to ensure a cohesive and modern user experience.

Build scalable ML infrastructure and automation pipelines using tools like MLflow, Kubeflow, and cloud platforms. Manage the full MLOps lifecycle from experimentation to production deployment, ensuring reliable and efficient machine learning systems.

Covers core principles for mobile game development, including touch input handling, battery and thermal optimization, and performance targets. Provides guidance on iOS and Android app store requirements, monetization models, and common anti-patterns to ensure a smooth user experience on constrained mobile platforms.

This skill provides comprehensive strategies and technical blueprints for monetizing digital products, especially SaaS platforms. It covers everything from defining advanced pricing models (freemium, value-based pricing) and optimizing revenue flows (LTV/CAC, churn prevention) to practical Stripe integrations. Use it when you need to set up subscription plans, process webhooks, or implement automated billing cycles for your software.

Investigate and remediate data quality alerts from Monte Carlo. Performs root cause analysis, blast radius assessment, tool discovery, and executes fixes or escalates with full context when uncertain.

Design secure multi-tenant LLM hosting platforms on shared GPU inference infrastructure, covering tenant isolation, per-tenant quotas and rate limits, billing attribution, noisy-neighbor protection, and per-tenant policy controls for vLLM on Kubernetes.

Handle n8n files and binary data across uploads, downloads, transforms, multimodal inputs, agent tools, and chat surfaces. Covers where binary lives, how to read/write it, preventing data loss, and the AI-agent tool boundary.