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TanStack Query best practices for optimized data fetching, caching, mutations, and server state management in React. \n \n Covers 32 rules across 10 categories: query keys, caching strategies, mutations, error handling, prefetching, infinite queries, SSR integration, parallel queries, performance optimization, and offline support \n Each rule includes explanation, anti-patterns, recommended implementations, and contextual guidance for when to apply \n Prioritized by impact: critical rules preven

Implement multi-level caching strategies using Redis, Memcached, and database-level caching. Covers cache invalidation, TTL strategies, and cache warming patterns.

Category: test \n SLS 日志查询Minimal Viable Test \n Prerequisites \n \n 配置 ALIBABACLOUD_ACCESS_KEY_ID 、 ALIBABACLOUD_ACCESS_KEY_SECRET 。 \n 配置 SLS_ENDPOINT 、 SLS_PROJECT 、 SLS_LOGSTORE 。 \n GoalsSkill: skills/observability/sls/alicloud-observability-sls-log-query/ 。 \n \n Test Steps \n \n 执行 5 分钟窗口的基础查询（如 * | select count(*) ）。 \n 记录耗时与返回行数。 \n 若失败，记录完整错误码。 \n \n Expected Results \n \n 查询成功返回统计结果，或返回可诊断错误。 \n

实时股票行情与大盘指数查询技能，覆盖 A 股（沪深两市）、港股、美股三大市场。支持单只查询和批量查询（一次查询多只股票对比），轻量无依赖，无需 API Key，适合聊天场景下的快速股价查询——秒级获取当前价格、涨跌幅、开高低收、成交量等行情数据。

Comprehensive performance optimization guide for TanStack Query v5 applications. Contains 40 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

For straightforward questions about a single table:

TanStack Query (formerly React Query) is a powerful asynchronous state management library for React that handles server-state fetching, caching, synchronization, and updates. It eliminates the need for manual data fetching boilerplate and provides built-in features like background refetching, optimistic updates, pagination, and intelligent cache management.

Slow database queries are a common performance bottleneck. Optimization through indexing, efficient queries, and caching dramatically improves application performance.

Category: service

Real-time weather and forecast data for locations across China. \n \n Provides two core endpoints: real-time weather (temperature, humidity, wind, air quality) and multi-day forecasts with daily highs and lows \n Accepts Chinese location names (cities or districts) as query parameters; supports major cities and most districts nationwide \n Includes practical helper patterns for weather-based recommendations, multi-city comparisons, and travel suitability checks \n Returns structured JSON respons