性能
性能分析与优化
analyzing-dotnet-performance
dotnet
Scans .NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification. Use when analyzing .NET code for optimization opportunities, reviewing hot paths, or auditing allocation-heavy patterns.
build-parallelism
dotnet
"Diagnose and fix under-parallelized MSBuild builds. USE WHEN a multi-project solution build is slower than expected, doesn't speed up when you add cores, pegs a single core while others idle, or you want to know why -m isn't helping. Note: /maxcpucount default is 1 (sequential) — always pass -m for parallel builds. Covers finding the critical path (longest serial ProjectReference chain), graph build (/graph), BuildInParallel, and solution filters (.slnf). DO NOT USE FOR: single-project builds, incremental issues (use incremental-build), compilation slowness inside one project (use build-perf-diagnostics), non-MSBuild build systems."
resolve-project-references
dotnet
"Guide for interpreting ResolveProjectReferences time in MSBuild performance summaries. Activate when ResolveProjectReferences appears as the most expensive target and developers are trying to optimize it directly. Explains that the reported time includes wait time for dependent project builds and is misleading. Guides users to focus on task self-time instead. Do not activate for general build performance -- use build-perf-diagnostics instead."
dotnet-trace-collect
dotnet
Guide developers through capturing diagnostic artifacts to diagnose production .NET performance issues. Use when the user needs help choosing diagnostic tools, collecting performance data, or understanding tool trade-offs across different environments (Windows/Linux, .NET Framework/modern .NET, container/non-container).
microbenchmarking
dotnet
Activate this skill when BenchmarkDotNet (BDN) is involved in the task — creating, running, configuring, or reviewing BDN benchmarks. Also activate when microbenchmarking .NET code would be useful and BenchmarkDotNet is the likely tool. Consider activating when answering a .NET performance question requires measurement and BenchmarkDotNet may be needed. Covers microbenchmark design, BDN configuration and project setup, how to run BDN microbenchmarks efficiently and effectively, and using BDN for side-by-side performance comparisons. Do NOT use for profiling/tracing .NET code (dotnet-trace, PerfView), production telemetry, or load/stress testing (Crank, k6).
Mobile Animation
HoangNguyen0403
Motion design principles for mobile apps. Covers timing curves, transitions, gestures, and performance-conscious animations.
Context Optimization
HoangNguyen0403
Techniques to maximize context window efficiency, reduce latency, and prevent 'lost in middle' issues through strategic masking and compaction.
Performance Engineering Standards
HoangNguyen0403
Universal standards for high-performance software development across all frameworks.
Android Performance
HoangNguyen0403
Standards for Baseline Profiles, Startup Time, and UI Rendering
Android Jetpack Compose
HoangNguyen0403
Standards for high-performance Declarative UI and State Hoisting.
Angular Component Expert
HoangNguyen0403
Standards for OnPush components and strict Signals usage.
Android XML Views
HoangNguyen0403
Standards for ViewBinding, RecyclerView, and XML Layouts
Performance
HoangNguyen0403
Optimization techniques including OnPush, @defer, and Image Optimization.
learn-about-omc
Yeachan-Heo
Learn about your OMC usage patterns and get personalized recommendations
writer-memory
Yeachan-Heo
Agentic memory system for writers - track characters, relationships, scenes, and themes
note
Yeachan-Heo
Save notes to notepad.md for compaction resilience
vercel-react-best-practices
calcom
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
super-save
supermemoryai
Save important project knowledge to memory. Use when user wants to preserve architectural decisions, significant bug fixes, design patterns, or important implementation details for team reference.
ccs-delegation
kaitranntt
Auto-activate CCS CLI delegation for deterministic tasks. Parses user input, auto-selects optimal profile (glm/kimi/custom) from ~/.ccs/config.json, enhances prompts with context, executes via ccs {profile} -p "task" or ccs {profile}:continue, and reports results. Triggers on "use ccs [task]" patterns, typo/test/refactor keywords. Excludes complex architecture, security-critical code, performance optimization, breaking changes.
perf-optimizer
OneKeyHQ
"Systematic performance optimization and regression debugging for OneKey mobile app (iOS). Use when: (1) Fixing performance regressions - when metrics like tokensStartMs, tokensSpanMs, or functionCallCount have regressed and need to be brought back to normal levels, (2) Improving baseline performance - when there's a need to optimize cold start time or reduce function call overhead, (3) User requests performance optimization/improvement/debugging for the app's startup or home screen refresh flow."
react-best-practices
OneKeyHQ
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Exploitability Validation Skill
gadievron
This analysis is performed for defensive purposes, in a lab environment. Full permission has been provided.
performance-optimization
dj-bolt
"Apply systematic performance optimization techniques for Python and Rust code: estimation + profiling, API/bulk design, algorithmic wins, cache-friendly memory layout, fewer allocations, fast paths, caching, and compiler-friendly hot loops. Use for performance code reviews, refactors, and profiling-driven optimizations. Keywords: performance, latency, throughput, cache, allocation, memory layout, PyO3, msgspec, tokio, async, pprof, py-spy, perf."
organizational-design
RefoundAI
Help users design effective organizational structures. Use when someone is thinking about team structure, deciding between functional vs. divisional models, planning a reorg, or figuring out how to structure product teams.