性能
性能分析与优化
performance-profiling
xenitV1
Performance profiling principles. Measurement, analysis, and optimization techniques.
3d-games
xenitV1
3D game development principles. Rendering, shaders, physics, cameras.
mobile-design
xenitV1
Mobile-first design thinking and decision-making for iOS and Android apps. Touch interaction, performance patterns, platform conventions. Teaches principles, not fixed values. Use when building React Native, Flutter, or native mobile apps.
pc-games
xenitV1
PC and console game development principles. Engine selection, platform features, optimization strategies.
react-patterns
xenitV1
Modern React patterns and principles. Hooks, composition, performance, TypeScript best practices.
LJG-Xray-Article: 文章解读
lijigang
智慧X光机 — Claude Code Skill，四层漏斗透视文章，提炼可迁移智慧晶核
humanizer
christopher-buss
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
workleap-react-best-practices
workleap
React performance optimization guidelines for Single Page Applications (SPA) at Workleap. Use when writing, reviewing, or refactoring React SPA code to ensure optimal performance patterns. Triggers on tasks involving React components, state management, bundle optimization, re-render prevention, rendering performance, or JavaScript performance improvements. Covers async waterfall elimination, bundle size reduction, re-render optimization, rendering efficiency, JS micro-optimizations, and advanced React patterns. Does NOT cover server-side rendering (SSR), Next.js, or server components.
review-perf
mgiovani
Perform comprehensive performance review analyzing database queries,
sentry
mikkelkrogsholm
"Sentry — application monitoring platform for error tracking, performance monitoring, session replay, profiling, and alerting. Use when building with Sentry or asking about SDK initialization, error capture, tracing, source maps, sampling, PII scrubbing, tunneling, or integration with Next.js, Node.js, or other JavaScript frameworks. Fetch live documentation for up-to-date details."
playwright-cli
mikkelkrogsholm
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
smooth-interpolation
verekia
Animate values smoothly using exponential decay instead of linear interpolation.
memory-profiling
lodekeeper
Profile Node.js memory leaks with heap snapshots and retention-chain analysis. Use when debugging memory growth, object retention, listener leaks, timer leaks, stream leaks, or worker-thread memory issues (especially Lodestar network/discv5 threads).
portfolio-project-architect
ChunkyTortoise
"Transform service catalog into high-ticket portfolio assets with memory-persistent scoping and optimized Auto Claude handoff generation"
portfolio-project-architect-enhanced
ChunkyTortoise
"Advanced portfolio development with Claude Code 2.1.0 agent lifecycle management, hot-reloadable skills, and parallel processing optimization"
faion-automation-tooling
faionfaion
"Automation & tooling specialist: browser automation, CI/CD, monorepo, performance testing, feature flags. 23 methodologies."
sentence-transformers
L-yifan
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.
release-metrics
lodekeeper
Evaluate Lodestar release candidate readiness by comparing beta/RC metrics against stable. Use when deploying a new RC to beta nodes, reviewing metrics before cutting a release, or assessing whether a release candidate has regressions. Covers health checks, performance comparison, memory/resource analysis, validator effectiveness, networking quality, and PeerDAS-specific metrics. Requires Grafana/Prometheus access to the Lodestar monitoring stack.
grey-haven-testing-strategy
greyhaven-ai
"Grey Haven's comprehensive testing strategy - Vitest unit/integration/e2e for TypeScript, pytest markers for Python, >80% coverage requirement, fixture patterns, and Doppler for test environments. Use when writing tests, setting up test infrastructure, running tests, debugging test failures, improving coverage, configuring CI/CD, or when user mentions 'test', 'testing', 'pytest', 'vitest', 'coverage', 'TDD', 'test-driven development', 'unit test', 'integration test', 'e2e', 'end-to-end', 'test fixtures', 'mocking', 'test setup', 'CI testing'."
go-benchmark-testing
sentenz
Automates benchmark test creation for Go projects using the standard testing package with consistent software testing patterns. Use when creating performance benchmarks, profiling tests, or when the user mentions benchmarking, performance testing, or optimization.
validation
minhuw
This skill should be used when validating whether a specific word or phrase is appropriate, commonly used, and correct in academic technical contexts. Use for checking terminology in research papers targeting top-tier computer science conferences.
gpu-training-acceleration
dongzhuoyao
Use when optimizing PyTorch training speed or memory on CUDA GPUs — global flags, torch.compile, fused optimizers, mixed precision, gradient checkpointing, kernel fusion, memory layout, or latent-space training. Applies to any PyTorch training workload. Triggers: "torch.compile", "TF32", "fused optimizer", "mixed precision", "bf16", "fp16", "gradient checkpointing", "Triton kernel", "CUDA flags", "GPU slow", "GPU memory"
agents-md-writing
dongzhuoyao
Use when writing or improving CLAUDE.md, AGENTS.md, GEMINI.md, or any agent instruction file. Covers section structure, memory patterns, workflow rules, and anti-patterns. Triggers: "CLAUDE.md", "AGENTS.md", "agent instructions", "project memory", "MEMORY.md", "instruction file"
architecture
Tyler-R-Kendrick
Use when selecting architecture styles, evaluating system decomposition strategies, or analyzing architecture characteristics (quality attributes) for a system. USE FOR: architecture style selection, comparing monolith vs microservices, architecture characteristics analysis, system decomposition strategy DO NOT USE FOR: specific style details (use sub-skills: microservices, monoliths, event-driven, etc.), code-level patterns (use dev/design-patterns), integration messaging (use dev/integration-patterns)