Expert guidance for Amazon Web Services infrastructure, development, and operations. Provides assistance with AWS CLI, Terraform, Lambda, S3, EC2, DynamoDB, IAM, API Gateway, and other AWS services including configuration, deployment, troubleshooting, security best practices, and cost optimization.

Performs comprehensive health assessment of Kubernetes cluster infrastructure, including node status, pod health, system components, and resource utilization to quickly identify issues and bottlenecks.

An internal cognitive engine for quantitative root cause analysis using Bayesian inference. Helps weigh competing hypotheses, prevent anchoring bias, and determine the most efficient diagnostic steps through probabilistic reasoning.

Comprehensive AWS cloud capabilities including EC2, EKS, S3, Lambda, RDS, and IAM for infrastructure provisioning, cloud deployment, and Amazon Web Services integration.

Automates infrastructure deployment on Linode (Akamai Cloud) including VPS instances, firewalls, VLANs, and Kubernetes clusters with autoscaling support. Provides streamlined setup for Coolify, Kasm, and custom deployments with integrated Akamai CDN.

Automates deployment of ARM64 or x86 servers on Hetzner Cloud with firewall configuration and SSH setup. Cost-effective European cloud infrastructure with excellent price/performance ratio for hosting applications like Coolify and KASM.

A project-aware DSP engineer that executes a 4-phase architectural replacement plan for audio processing. Enforces H-Chip 14-pole topology with int32 fixed-point constraints, migrating legacy float-based systems to modern C++ implementations while maintaining strict phase-order compliance.

Implementation guide for X-Trend (Cross Attentive Time-Series Trend Network), combining LSTM encoders, multi-head attention mechanisms, and few-shot learning for trend-following trading strategies with interpretable predictions.

A deterministic effects engine that applies chronicle events to world state entities. Handles battle outcomes, treaties, agent deaths, and other events to modify entity attributes like force strength, relationships, and agent status in simulation.

Comprehensive governance framework providing compliance rules, quality gates, approval hierarchies, and process standards for software development. Implements four core pillars (Portability, Reproducibility, Safety, Research Value) with mandatory quality gates, two-tier testing pipeline, and strict separation of concerns for code reviews.

Complete implementation patterns for Wasp backend operations including queries and actions. Covers type annotations, authentication checks, entity access, auto-invalidation, client-server communication, and error handling for building secure server-side code.

Trim video segments with support for compression, audio control, and output format selection using ffmpeg. Provides interactive configuration for precise video editing with options for quality, audio processing, and effects.

Process and manipulate videos using ffmpeg and gifsicle to compress, convert formats, scale, crop, extract frames, concatenate, and adjust playback speed for MP4, AVI, GIF, PNG, and JPG files.

Merge multiple video files into a single video using FFmpeg. Supports different formats, resolutions, and codecs with options for quality control, audio handling, and transition effects.

Validates registry APIs (PyPI, npm, crates.io) and detection algorithms for package security monitoring. Ensures API endpoints work correctly, detection signals are effective, and maintains low false positive rates while identifying suspicious packages.

A comprehensive skill for using UV, an extremely fast Python package and project manager written in Rust. Covers virtual environment setup, Python version management, CLI tool installation, MCP server integration, and migration from pip/pipx/poetry with 10-100x performance improvements.

Builds and manages iOS/macOS apps using xcodebuild and xcrun simctl CLI tools for automation, headless builds, simulator management, testing, and CI/CD workflows without opening Xcode IDE.

Fine-tune Speech-to-Text models like OpenAI Whisper using Unsloth's optimized LoRA pipeline, achieving 1.5x faster training with 50% less memory usage for specialized terminology, accents, and dialects.

Performs full fine-tuning (FFT) with 100% exact weight updates using Unsloth's optimized gradient checkpointing, enabling larger batch sizes and complete model modification for base model pre-training and continued pre-training tasks.

Production-ready PyTorch model serving engine that handles MAR packaging, custom handlers for preprocessing/inference, multi-GPU worker scaling, and model version management via REST/gRPC API.

Optimize PyTorch models using torch.compile (TorchDynamo/Inductor) for JIT compilation into optimized kernels. Focuses on reducing Python overhead, managing compile overhead, debugging graph breaks, and proper benchmarking methodology with warmup runs.

Comprehensive test-driven development framework for Terraform providers with iterative co-development of tests, generators, and schemas. Emphasizes root cause analysis and systematic fixing over skipping, using terraform-plugin-testing SDK with modern assertion patterns for production-ready provider code.

Validate WebSocket and HTTP stream health for WaveCap-SDR channels. Measures streaming metrics including latency, throughput, packet loss, and audio quality to diagnose streaming issues and verify audio/spectrum delivery performance.

Creates ergonomic slash commands (/command) for fast, unambiguous access to micro-skills, cascades, and agents. Features auto-discovery, intelligent routing, parameter validation, command chaining, and multi-model integration for expert-level AI workflow automation.

A comprehensive skill for developing Roblox games using TypeScript with roblox-ts compiler. Covers type-safe Roblox API usage, project setup, package management, TypeScript-to-Luau compilation, and best practices for building performant games.

Modern responsive image techniques using picture element, srcset, sizes, and modern formats (AVIF, WebP). Optimizes image delivery for different screen sizes, resolutions, and devices with proper loading strategies and accessibility.

Implement and optimize rate limiting for APIs and routes using sliding window algorithms, tier-based limits, and edge deployment patterns. Protects endpoints from abuse, ensures fair resource usage, and prevents denial of service attacks across different user tiers.

Deep code and system analysis using Quantum Cognitive OS with multi-dimensional reasoning. Analyzes complex codebases, architectures, security, and performance through semantic, relational, causality, and temporal lenses with persistent learning.

A high-level training framework for PyTorch that automates 40+ engineering details like epoch loops, optimization, and hardware acceleration while maintaining flexibility. Supports multi-GPU/multi-node scaling, reproducibility, and decouples research code from engineering boilerplate.

A library built on PyTorch for implementing Graph Neural Networks (GNNs). Provides MessagePassing layers, modular aggregation schemes, and efficient mini-batching for handling large graphs through disjoint graph representation.