缓存
缓存策略与实现
performance
yonatangross
Performance optimization patterns covering Core Web Vitals, React render optimization, lazy loading, image optimization, backend profiling, LLM inference, and sustainability UX. Use when improving page speed, debugging slow renders, optimizing bundles, reducing image payload, profiling backend, deploying LLMs efficiently, or reducing digital carbon footprint.
falcon-strategy
Senpi-ai
FALCON v1.0.0 — Conversion-Event Momentum (XYZ Pre-IPO → equity). A Pre-IPO Perpetual (IPOP) carries a structural funding signature ( funding <= ~1e-7, max_leverage <= 5) and is price-throttled by trade.xyz Discovery Bounds. When the company IPOs the product CONVERTS to a standard equity perp — funding jumps ~100x, the leverage cap lifts, the throttle is removed — opening free price discovery. Falcon detects the IPOP→STANDARD flip and trades the post-conversion momentum. Distinct from Lemur, which trades the IPOP basket while it is still an IPOP. Wide let-winners-run DSL, 7d hard_timeout.
vercel-react-best-practices
revokslab
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.
api-rate-limiting
secondsky
Implements API rate limiting using token bucket, sliding window, and Redis-based algorithms to protect against abuse. Use when securing public APIs, implementing tiered access, or preventing denial-of-service attacks.
Bun Redis
secondsky
Use when working with Redis in Bun (ioredis, Upstash), caching, pub/sub, session storage, or key-value operations.
report-generation
apconw
生成数据分析报告：查询数据 → 深度分析归因 → 输出 HTML 可视化报告
ai-patterns
lexler
Reference patterns for augmented coding with AI. Use when discussing AI coding patterns, anti-patterns, obstacles, context management, steering AI, or looking up Lexler's patterns collection.
django-python
Mindrally
Expert in Django Python web development with best practices
analyzing-data
astronomer
Queries data warehouse and answers business questions about data. Handles questions requiring database/warehouse queries including "who uses X", "how many Y", "show me Z", "find customers", "what is the count", data lookups, metrics, trends, or SQL analysis.
ring:dev-chaos-testing
LerianStudio
Gate 7 of development cycle - ensures chaos tests exist using Toxiproxy to verify graceful degradation under connection loss, latency, and partitions.
performance-optimization
rohitg00
Web performance optimization including bundle analysis, lazy loading, caching strategies, and Core Web Vitals
websocket-realtime
rohitg00
Real-time communication patterns with WebSocket, Socket.io, Server-Sent Events, and scaling strategies
redis-patterns
rohitg00
Redis patterns including caching strategies, pub/sub, streams for event processing, Lua scripts, and data structures
turborepo
einverne
Guide for implementing Turborepo - a high-performance build system for JavaScript and TypeScript monorepos. Use when setting up monorepos, optimizing build performance, implementing task pipelines, configuring caching strategies, or orchestrating tasks across multiple packages.
async-jobs
yonatangross
Async job processing patterns for background tasks, Celery workflows, task scheduling, retry strategies, and distributed task execution. Use when implementing background job processing, task queues, or scheduled task systems.
react-server-components-framework
yonatangross
Use when building Next.js 16+ apps with React Server Components. Covers App Router, Cache Components (replacing experimental_ppr), streaming SSR, Server Actions, and React 19 patterns for server-first architecture.
distributed-systems
yonatangross
Distributed systems patterns for locking, resilience, idempotency, and rate limiting. Use when implementing distributed locks, circuit breakers, retry policies, idempotency keys, token bucket rate limiters, or fault tolerance patterns.
performance
yonatangross
Performance optimization patterns covering Core Web Vitals, React render optimization, lazy loading, image optimization, backend profiling, and LLM inference. Use when improving page speed, debugging slow renders, optimizing bundles, reducing image payload, profiling backend, or deploying LLMs efficiently.
pwa-development
alinaqi
Progressive Web Apps - service workers, caching strategies, offline, Workbox
vercel-react-best-practices
agentset-ai
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.
symfony:symfony-cache
MakFly
Implement resilient Symfony async workflows with idempotency, retries, and operational visibility. Use for symfony cache tasks.
docker-compose-networking
TheBushidoCollective
Use when configuring networks and service communication in Docker Compose including bridge networks, overlay networks, service discovery, and inter-service communication.
act-docker-setup
TheBushidoCollective
Use when configuring Docker environments for act, selecting runner images, managing container resources, or troubleshooting Docker-related issues with local GitHub Actions testing.
apollo-caching-strategies
TheBushidoCollective
Use when implementing Apollo caching strategies including cache policies, optimistic UI, cache updates, and normalization.