Ultra-compressed communication mode. Cuts token usage by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full, ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Release and sync the `chalkak-ocr-models` AUR package by bumping `aur/chalkak-ocr-models/PKGBUILD` and `.SRCINFO`, refreshing checksums against the GitHub asset `ocr-models-vN`, and pushing packaging-only metadata to AUR. Use when publishing OCR model files to AUR, updating model package version/checksum, or fixing `chalkak-ocr-models` AUR metadata.
Expert guide for Unreal Engine 5.x C++ development, covering UObject hygiene, performance patterns, and best practices.
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, effici...
"Build production ML systems with PyTorch 2.x, TensorFlow, and"
"Refactor legacy codebases, migrate outdated frameworks, and"
Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts.
"Expert firmware analyst specializing in embedded systems, IoT"
Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling...
"Expert C4 Component-level documentation specialist. Synthesizes C4"
XSS prevention — input sanitization, output encoding, CSP, DOMPurify, framework protections
Custom Docker Compose local development patterns. Use when working with Docker-based local environments, container configuration, or troubleshooting Docker setups.
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
Comprehensive error handling patterns and strategies including Rust Result/Option, API error responses, data pipeline error handling, and security-aware error handling. Use when implementing exception handling, error recovery, retry logic, circuit breakers, fallback mechanisms, graceful degradation, or designing error hierarchies. Triggers: error, exception, try, catch, throw, raise, Result, Option, panic, recover, retry, fallback, graceful degradation, circuit breaker, error boundary, 500, 4xx, 5xx, thiserror, anyhow, RFC 7807, error propagation, error messages, stack trace.
Go language expertise for writing idiomatic, production-quality Go code. Use for Go development, concurrency patterns, error handling, testing, and module management. Triggers: go, golang, goroutine, channel, interface, struct, pointer, slice, map, defer, context, error, gin, echo, fiber, cobra, viper, gorm, sqlx, go mod, go test, effective go, errgroup, sync, mutex, waitgroup.
Provides patterns and best practices for TouchDesigner via MCP API - operator creation, network layout, rendering, GLSL shaders, data conversion (CHOP/SOP/POP/TOP/DAT). Use when working with TouchDesigner networks.
Maintain stable C ABI and versioned binary formats (drawlist + event batches).
Enforce the strict platform boundary where core/unicode/util stay OS-header-free.
