gpu-memory-cleanup
Preventing Jupyter cell hangs with explicit CuPy GPU memory cleanup
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Preventing Jupyter cell hangs with explicit CuPy GPU memory cleanup
Foundation layer for identity verification, noise filtering, and environment awareness.
Analyze code performance, detect bottlenecks, suggest optimizations for algorithms, queries, and resource usage. Use when improving application performance or investigating slow code.
Optimize Rust code for WebAssembly compilation and runtime performance. Use when building WASM applications, optimizing binary size, or improving WASM runtime performance.
Optimization techniques for Nethercore games. Triggers on "optimize", "reduce size", "wasm-opt", "compress", "LTO", "asset compression", "state size". **Load references when:** - Detailed techniques -> `refere...
Specialized AI assistant for DSPy development with deep knowledge of predictors, optimizers, adapters, and GEPA integration. Provides session management, codebase indexing, and command-based workflows.
Recursive self-improving holon λ(ο,Κ,Σ).τ' for knowledge compounding and schema evolution. USE WHEN learning, improving, optimizing, assessing, reflecting, debugging, synthesizing, or refining—whether human, AI...
Cognitive enhancement toolkit combining non-linear reasoning, mental models, and literate programming. Use for complex analysis, system design, debugging, deep learning, and research workflows.
Meta-cognitive architecture optimization skill. Use when the user asks to "refactor the architecture", "optimize claude code", "evaluate components", or "run architecture audit". Also triggers automatically eve...
Metasuperhypergraph orchestrator with fractal scale-invariant recursion. Activates maximum performance mode through renormalization-group optimization, power-law resource allocation, and homoiconic self-improve...
Full-context code review with multi-pass synthesis
High-performance Rust optimization. Profiling, benchmarking, SIMD, memory optimization, and zero-copy techniques. Focuses on measurable improvements with evidence-based optimization.
Guide for creating custom Transmissions processors with factory registration for core and remote development
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。
Advanced JUCE audio DSP, real-time analysis, and interactive graphics for plugin development. Use when building AU/VST3 plugins, adding DSP chains (reverb/delay/physical modeling), implementing FFT or audio-rea...
Implement and understand Takum arithmetic - a logarithmic tapered-precision number format using base √e. Use when working with numerical precision, floating-point alternatives, scientific computing, or implemen...
Discovers KrakenD features, checks edition availability (CE vs EE), and provides implementation examples
Fast code operations using Serena MCP (1-3s) for symbol search, memory read/write, and basic code editing in LoRAIro project
Guide for using Collimator, a profunctor optics library for Lean 4. Use when writing code with lenses, prisms, traversals, or when accessing/modifying nested data structures.
Diagnose and fix maturin build issues for PyO3 Python bindings. Use when encountering problems with maturin develop, missing Python exports, module registration errors, or type stub generation issues. Particula...
Analyzes Rust code for performance bottlenecks, memory inefficiencies, and optimization opportunities. Use when discussing performance, slow code, memory usage, profiling, benchmarks, or optimization.
Low-level socket programming including BSD sockets, Winsock, and network byte manipulation
High-performance I/O multiplexing including epoll, IOCP, kqueue, and io_uring
Applies JAX patterns for scientific Python development. Use when working with JAX, distrax, numpyro, blackjax, or scientific computing. Covers vmap, JIT, RNG handling.
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