ext-outline-plugin
Outline extension implementing protocol for plugin development domain
发现 testing security framework internals 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Outline extension implementing protocol for plugin development domain
Use this skill when working with the Crystal programming language. Crystal is a statically-typed, compiled language with Ruby-like syntax. It features type inference, null safety, macros, and compiles to effici...
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_allo...
Low-risk Python performance optimization patterns with verified speedups
Fix CuPy NVRTC compilation errors on Windows. Trigger: NVRTC_ERROR_BUILTIN_OPERATION_FAILURE, nvrtc-builtins64 not found
Fix common PyTorch bugs: percentile calculations, LayerNorm for Conv1d, buffer edge cases. Trigger when writing PyTorch code for RL or neural networks.
GPU-safe parallel processing patterns for KINTSUGI to prevent OOM crashes and ensure Jupyter-compatible progress output
KINTSUGI processing principles: Never sacrifice quality for speed, always use GPU when available. Trigger: performance optimization, CPU/GPU choice, fast mode, quality vs speed.
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...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。