Skill UI

A comprehensive guide covering core principles for building high-performance 3D game systems. Topics include the rendering pipeline, shader types, physics collision detection, camera control, and advanced optimization techniques like Frustum Culling and LOD. Ideal for developers needing to build visually rich and technically robust 3D environments.

Automates creation of A/B test configurations for ML deployment, guiding users through best practices, code samples, and validation steps so production models are served with monitoring and rollout control.

AddressSanitizer accelerates fuzz testing by instrumenting C/C++ and unsafe Rust code to detect buffer overflows, use-after-free, and related memory corruption bugs at runtime, with configurable ASAN_OPTIONS for verbosity, abort behavior, and leak control.

Provision production-grade Vertex AI ADK Agent Engine infrastructure with Terraform, covering Agent Engine runtime, code execution sandbox, Memory Bank, VPC Service Controls, and secure IAM setup for multi-agent deployments.

A systematic workflow designed to significantly improve the reliability and performance of existing AI agents. It covers detailed performance analysis, including gathering metrics (e.g., task success rate, latency), classifying failure modes, and advanced prompt engineering techniques (like Chain-of-Thought and Constitutional AI). The process culminates in structured A/B testing and controlled deployment, ensuring measurable, robust improvements.

This skill defines the coordination protocol for multi-agent execution during development sprints. It governs how project architects must spawn specialized agents (e.g., backend, frontend, QA), manage dependencies via shared contracts, and collect comprehensive, structured reports. It ensures systematic, parallel, and controlled project iteration development.

Defines how to build AI wrapper products that solve specific customer problems, covering prompt engineering, API cost control, usage metering, and defensible UX so AI becomes a paid, reliable feature.

Defines how to build AI wrapper products that solve specific customer problems, covering prompt engineering, API cost control, usage metering, and defensible UX so AI becomes a paid, reliable feature.

Scans Algorand TEAL/PyTeal smart contracts for 11 platform-specific vulnerabilities such as rekeying, unchecked fees, group manipulation, and missing access controls, then reports findings with severity, suggested fixes, and optional Tealer automation.

Guides creation of algorithmic art philosophies and p5.js implementations that emphasize emergent behavior, seeded randomness, and a meticulously crafted algorithmic process, producing philosophy .md plus interactive .html/.js viewers for flow fields, particles, and controlled chaos.

Guides creation of algorithmic art philosophies and p5.js implementations that emphasize emergent behavior, seeded randomness, and a meticulously crafted algorithmic process, producing philosophy .md plus interactive .html/.js viewers for flow fields, particles, and controlled chaos.

A comprehensive guide for building production-quality Android applications using Jetpack Compose. This skill covers modern architectural patterns (MVVM/MVI), robust state management with StateFlow, optimized UI rendering, type-safe navigation setup, and performance best practices (e.g., recomposition control). Use this skill when developing complex, modern Android user interfaces.