আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Implement and maintain NET-NiNJA's Qt compatibility logic: auto-select PyQt6 vs PyQt5 based on CPU features (SSE4.1/4.2), add and honor --gui=auto|qt6|qt5, and prevent premature PyQt6 imports that crash on legacy CPUs. Use when touching GUI startup, requirements, or hardware gating.
Provides SVC-specific AXI/AXI-Lite naming conventions, signal ordering, and available modules. Triggers when implementing AXI or AXI-Lite interfaces.
Cross-compile OBS Studio plugins from Linux to Windows using MinGW, CMake presets, and CI/CD workflows. Covers toolchain files, headers-only linking, OBS SDK fetching, and multi-platform artifact packaging. Use when building OBS plugins for Windows from Linux or setting up CI pipelines.
Utilizing Dynamic 4-bit quantization, FP8 training, and 8-bit optimizers to minimize VRAM usage without sacrificing accuracy. Triggers: quantization, dynamic 4-bit, fp8, bitsandbytes, adamw_8bit, qat.
Modern C++ (C++23/C++20) development specialist covering RAII, smart pointers, concepts, ranges, modules, and CMake. Use when developing high-performance applications, games, system software, or embedded systems.
KINTSUGI processing principles: Never sacrifice quality for speed, always use GPU when available. Trigger: performance optimization, CPU/GPU choice, fast mode, quality vs speed.
Zero-copy deserialization, async I/O patterns, lifetime management, memory-efficient parsing, and safe handling of unsafe code for SSTable parsing. Use when working with performance optimization, memory efficiency, async/await, borrowing/lifetimes, zero-copy patterns, or memory usage under 128MB target.
Core PyTorch fundamentals including tensor operations, autograd, nn.Module architecture, and training loop orchestration. Covers optimizations like pin_memory and lazy module initialization. (pytorch, tensor, autograd, nn.Module, optimizer, training loop, state_dict, pin_memory, lazylinear, requires_grad)
Use when building Rust applications requiring memory safety, systems programming, or zero-cost abstractions. Invoke for ownership patterns, lifetimes, traits, async/await with tokio. Keywords: Rust, ownership, borrowing, async, memory safety.
Scaffold a new model provider for obot-tools
Refactor PyTorch code to improve maintainability, readability, and adherence to best practices. Identifies and fixes DRY violations, long functions, deep nesting, SRP violations, and opportunities for modular components. Applies PyTorch 2.x patterns including torch.compile optimization, Automatic Mixed Precision (AMP), optimized DataLoader configuration, modular nn.Module design, gradient checkpointing, CUDA memory management, PyTorch Lightning integration, custom Dataset classes, model factory patterns, weight initialization, and reproducibility patterns.
Development skill for building a Raspberry Pi Pico-based RC submarine controller with ballast control, depth hold, pitch stabilization, and failsafe protection. Use when working on embedded C firmware for RP2040, implementing PID controllers, writing sensor drivers (pressure, IMU), PWM capture/output, dual-core safety-critical systems, or any task related to the RC submarine project. Also triggers for Power of 10 coding standards, Pico SDK usage, and underwater vehicle control systems.
Detects unsafe spikes in training load and emits SafetyFlags with conservative adjustments.
Techniques for model size reduction and inference acceleration using INT8 quantization, including Post-Training Quantization (PTQ) and Quantization Aware Training (QAT). (quantization, int8, qat, fbgemm, qnnpack, ptq, dequantize)
Model quantization for efficient inference and training. Covers precision types (FP32, FP16, BF16, INT8, INT4), BitsAndBytes configuration, memory estimation, and performance tradeoffs.
Translate Civilization 5 Vox Populi C++ formulas to TypeScript. Use when asked to translate a formula, add a new mechanic calculation, convert C++ code from CvGameCoreDLL, implement game logic like production costs, gold costs, growth thresholds, combat calculations, or yield computations. Handles GD_INT_GET/GD_FLOAT_GET macros, integer math preservation, and modifier chains.
Rust expert for rainze_core PyO3 module. Use when working on Rust code, performance-critical components, or Python-Rust FFI.
