feature-explorer
Discovers KrakenD features, checks edition availability (CE vs EE), and provides implementation examples
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。
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.
Master Rust traits, generics, and type system
Master Rust macros - declarative and procedural macros
Master plugin performance optimization, best practices, and marketplace readiness. Learn to optimize for speed, efficiency, and user satisfaction.
Explore advanced CS topics including advanced data structures, parallel computing, security, functional programming, and quantum computing.
Analyze algorithm complexity, understand Big O notation, computability theory, NP-completeness, and computational limits.
Use superpowers with more memory.
Leverage iterator chains for efficient, lazy data processing without intermediate allocations. Use when processing collections.
Implement GPU scheduling with VRAM budgets, work queues, and model lifecycle management. Use when building ML pipeline orchestrators.
Minimize allocations and cloning using references, Cow, and smart pointers. Use when optimizing hot paths or memory-constrained code.
Build mithril-checkpoint compression for PyTorch models. Use when implementing byte grouping, compression pipeline, or checkpoint I/O.
Build mithril-cache for torch.compile caching. Use when implementing content-addressable storage, cache keys, eviction, or framework hooks.
Port HuggingFace models to Candle with correct tensor naming. Use when debugging weight loading errors or matmul issues.
Core Tokio patterns including runtime setup, spawn_blocking for CPU work, and avoiding blocking operations. Use for any async Rust development.
Bridge Rust and Python using PyO3 with proper GIL handling and async compatibility. Use when integrating Python ML models or libraries.
Provides reverse engineering analysis support including function identification, data structure analysis, and behavior understanding. Use when analyzing unknown binaries, understanding program structure, or inv...
Detects integer overflow and underflow vulnerabilities in arithmetic operations used for buffer sizing or allocation. Use when analyzing calculations, size computations, or investigating integer wraparound issu...
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。