Performance
Performance profiling and optimization
jax
by tondevrel
Composable transformations of Python+NumPy programs. Differentiate, vectorize, JIT-compile to GPU/TPU. Built for high-performance machine learning research and complex scientific simulations. Use for automatic differentiation, GPU/TPU acceleration, higher-order derivatives, physics-informed machine learning, differentiable simulations, and automatic vectorization.
numba
by tondevrel
A Just-In-Time (JIT) compiler for Python that translates a subset of Python and NumPy code into fast machine code. Developed by Anaconda, Inc. Highly effective for accelerating loops, custom mathematical functions, and complex numerical algorithms. Use for @njit, @vectorize, prange, cuda.jit, numba.typed, JIT compilation, parallel loops, GPU acceleration with CUDA, Monte Carlo simulations, numerical algorithms, and high-performance Python computing.
polars
by tondevrel
Blazingly fast DataFrame library written in Rust. Features a multi-threaded query engine, lazy evaluation, and efficient memory usage via Apache Arrow. Designed for high-performance data processing on a single machine. Use for large datasets (1GB-100GB+), fast data transformations, Parquet/CSV processing, complex query pipelines, memory-efficient operations, and when speed is critical (10-100x faster than pandas).
radical-candor
by wdavidturner
Use when asked to "radical candor", "give feedback that cares", "have a difficult conversation", "challenge directly", "manage performance issues", or "give praise that lands". Helps deliver direct feedback while showing you care. The Radical Candor framework (created by Kim Scott) teaches how to challenge directly while caring personally.
ortools
by tondevrel
Google Optimization Tools. An open-source software suite for optimization, specialized in vehicle routing, flows, integer and linear programming, and constraint programming. Features the world-class CP-SAT solver. Use for vehicle routing problems (VRP), scheduling, bin packing, knapsack problems, linear programming (LP), integer programming (MIP), network flows, constraint programming, combinatorial optimization, resource allocation, shift scheduling, job-shop scheduling, and discrete optimization problems.
angular-best-practices-v20
by develite98
Angular 20+ performance optimization guidelines with Signals, httpResource, signal inputs/outputs, @defer, and native control flow (@if, @for). Use when writing, reviewing, or refactoring modern Angular code. Triggers on tasks involving Angular components, services, data fetching, bundle optimization, or performance improvements.
numpy-low-level
by tondevrel
Advanced sub-skill for NumPy focused on internal memory management, stride manipulation, structured arrays, and interfacing with C/Cython. Covers zero-copy operations and SIMD vectorization principles.
lua-basics
by germanfndez
Effective Lua programming for FiveM - functions, tables, variables, conditionals, error handling. Use when writing or reviewing Lua code for FiveM resources.
godot-optimization
by Zate
Expert knowledge of Godot performance optimization, profiling, bottleneck identification, and optimization techniques. Use when helping improve game performance or analyzing performance issues.
build-iphone-apps
by mosif16
Build professional native iPhone apps in Swift with SwiftUI and UIKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode. Targets iOS 26 with iOS 18 compatibility.
moai-lang-swift
by mosif16
Swift 6.0 enterprise development with async/await, SwiftUI, Combine, and Swift Concurrency. Advanced patterns for iOS, macOS, server-side Swift, and enterprise mobile applications with Context7 MCP integration.
build-macos-apps
by mosif16
Build professional native macOS apps in Swift with SwiftUI and AppKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode.
Agent Memory Mcp
by mayurrathi
"A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions)."
algorithm-complexity-analysis
by KentoShimizu
"Analyze candidate algorithms for time/space complexity, scalability limits, and resource-budget fit (CPU, memory, I/O, concurrency). Use when feasibility depends on input growth or latency/memory constraints and quantitative bounds are required before implementation; do not use for persistence schema or deployment topology decisions."
Agent Orchestration Improve Agent
by mayurrathi
"Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration."
db-physical-design
by KentoShimizu
"Physical database design workflow for storage layout, partitioning, engine settings, and hardware-aware performance behavior. Use when sustained workload efficiency depends on physical data organization; do not use for conceptual modeling tasks."
Android Jetpack Compose Expert
by mayurrathi
Expert guidance for building modern Android UIs with Jetpack Compose, covering state management, navigation, performance, and Material Design 3.
savethetokens
by Redclawww
Reduce Claude Code token burn with proactive compacting, task-scoped sessions, checkpoint files, tiered docs, and relevance-based context pruning. Use when a user explicitly asks to reduce context usage/cost, run token benchmarks, or optimize CLAUDE.md. Do not use to expand product scope or skip correctness checks.
db-query-optimization
by KentoShimizu
"Query optimization workflow for reducing latency and resource cost through plan-aware rewrites and access-path improvements. Use when hot-path query behavior is the bottleneck; do not use for conceptual schema redesign without workload evidence."
performance-audit
by serkan-ozal
Analyze web and backend performance using Web Vitals, network timing, and Node.js metrics. Use when the user asks about page performance, load times, Core Web Vitals (LCP, CLS, INP), slow pages, backend bottlenecks, or SEO performance factors.
code-review-performance
by KentoShimizu
"Run performance-focused code review when changes may affect latency, throughput, or CPU/memory/I/O efficiency on critical paths. Use for merge decisions requiring explicit performance-risk findings; do not use for broad non-performance review scope."
concurrency-patterns
by KentoShimizu
"Design and review concurrency strategy for shared state, coordination, and contention control. Use when parallel execution or async coordination introduces race/deadlock/liveness risk and explicit pattern selection is required; do not use for persistence schema or deployment topology decisions."
css-coder
by schalkneethling
CSS authoring guidance emphasizing web standards, accessibility, and performance. Use when writing, reviewing, or refactoring CSS. Provides patterns, snippets, and conventions that prioritize native CSS over frameworks, semantic structure, and maintainable code. Refer to references/patterns.md for specific patterns and snippets.
故人 (Guren)
by chenxing9200
故人 Skill - 以逝者的口吻继续陪伴，基于聊天记录重建人格与记忆