flight-computer
Flight computer subproject context. Use when working in the flight_computer package, camera capture, video processing, audio recording, or high-level mission logic.
Flight computer subproject context. Use when working in the flight_computer package, camera capture, video processing, audio recording, or high-level mission logic.
Minimize allocations and cloning using references, Cow, and smart pointers. Use when optimizing hot paths or memory-constrained code.
Develop OpenFeature SDK implementations from the specification. Use when implementing the OpenFeature spec in a new language, extending existing SDKs with new features, building custom providers, or contributing to official SDK repositories.
Leverage iterator chains for efficient, lazy data processing without intermediate allocations. Use when processing collections.
Opaque Pointer Pattern pattern for C development
Full-context code review with multi-pass synthesis
This skill should be used when creating custom factors for Zipline Pipeline. It provides patterns for implementing CustomFactor classes, handling windowed computations, multiple inputs/outputs, and efficient numpy operations.
Bridge Rust and Python using PyO3 with proper GIL handling and async compatibility. Use when integrating Python ML models or libraries.
AI hardware accelerators including GPUs, TPUs, custom silicon, and hardware-aware optimization strategies for ML workloads.
Use when writing applications in OxCaml, using modes (local, portable, contended), unboxed types (float#, int32#, I64, I32, F64, UFO), SIMD vectors, stack allocation, immutable arrays, labeled tuples, zero_alloc annotations, or ppx_optional. Use for high-performance OCaml code, parallel programming, or memory-efficient data structures.
Edge deployment strategies including mobile optimization, embedded systems, TFLite, Core ML, and resource-constrained inference.
Master the internal fiber reconciliation algorithm to predict and optimize render operations at a highly granular level.
Validate at every layer data passes through to make bugs impossible
Master Python optimization techniques, profiling, memory management, and high-performance computing
Explore advanced CS topics including advanced data structures, parallel computing, security, functional programming, and quantum computing.
Python開発支援(FastAPI/Pydantic/uv)。 型ヒント、ruff、mypyでモダンPython開発をガイド。
Fast code operations using Serena MCP (1-3s) for symbol search, memory read/write, and basic code editing in LoRAIro project
Convert Roc code to idiomatic Erlang. Use when migrating Roc projects to Erlang/OTP, translating functional patterns to process-based architectures, or refactoring Roc codebases. Extends meta-convert-dev with Roc-to-Erlang specific patterns.